Research Strategies for the Sampling and Analysis of Organic and

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Thursday, July 10, 2003 .......................................................................................................... 4
WORKING TITLE:................................................................................................................. 4
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon
Fractions in Atmospheric Aerosols: Findings and Recommendations of the OCEC
International Workshop, March 3-5, 2003, Durango, Colorado.............................................. 4
Authors (bold=submitted to date) ............................................................................................ 4
PREFACE ...................................................................................................................................... 4
TOPICS .......................................................................................................................................... 5
•Definitions.............................................................................................................................. 5
•Standardization....................................................................................................................... 5
•Thermal and Optical Filter Analysis ...................................................................................... 5
•Organic Speciation and Sampling .......................................................................................... 5
•Carbon Physical Properties .................................................................................................... 5
•Innovative Instrumentation .................................................................................................... 5
APPLICATIONS ........................................................................................................................... 5
•Fundamental Science ............................................................................................................. 5
•Source Apportionment ........................................................................................................... 5
•Visibility................................................................................................................................. 5
•Climate ................................................................................................................................... 5
•Health ..................................................................................................................................... 5
•Soiling .................................................................................................................................... 5
Introduction ............................................................................................................................... 5
Applications of Carbon Measurements ................................................................................... 5
Summary of Knowledge (Watson put in notes. Others elaborate) .......................................... 7
Research Strategy .................................................................................................................... 7
RESEARCH STRATEGIES ........................................................................................................ 8
Definitions .................................................................................................................................. 8
•Establish an applications group to arrive at consensus. Elaborate terms needing to be
defined. Use Currie references as starting point. May be different for different application
groups. (Currie) ....................................................................................................................... 9
Standardization ......................................................................................................................... 9
•Applications community define acceptable levels of accuracy and precision and necessary
carbon fractions. (Currie) ..................................................................................................... 10
•Establish a first-principles standard for in situ particles suspended in air and sampled onto
substrates. (Arnott) ............................................................................................................... 10
Procedures and capabilities for generating material with reproducible carbon fractions and
light absorption for filter samples (hexane soot, kerosene soot, John Holmes breakout group list)
............................................................................................................................................... 10
Slurries, nebulization, suspension, bulk material, isotopic doping. (J. McDonald) ............. 11
Registry of standards and standard-generating facilities. Tabulation of historically used
standard materials for air quality and combustion science. ................................................... 11
•Estimate biases caused by interactions within complex mixtures. (Joellen Lewtas) .......... 12
Specify influential properties for sampling media and estimate consequences of deviations
from the ideal. Develop practical acceptance testing methods. ............................................ 12
Registry of thermal and optical analysis protocols (Holmes list, Chow abstract) .................... 13
Essential operating parameters in analysis method to be defined (Holmes list) Source of
content: Judy Chow, Helene Cachier and Jianzhen Yu. ........................................................ 14
•Create a framework for interlaboratory comparisons and data analysis. Numbers and types
of samples, statistical comparison methods, resolving and understanding differences, specific
definition of method. (J. Chow) ........................................................................................... 14
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
An examination of IMPROVE blank thermograms for consistency and indications of
adsorption (generalize Kirchstetter example). ....................................................................... 14
Define methods to determine consistency (e.g., material balance, chemical extinction, sum of
organic compounds, soluble less than total). Accounting for liquid water. Weighing and
extinction budgets.................................................................................................................. 15
Thermal & Optical Filter Methods ........................................................................................ 20
•Calculate changes in transmission and reflectance during analysis. Bound the uncertainties
of pyrolysis correction for different presumed situations. Specify some cases. Evaluate
deviations for different sample loadings. (Kirk Fuller) ......................................................... 20
The differences between black carbon mass concentrations obtained by light transmission
and thermal/optical methods.................................................................................................. 20
•Quantify changes in form of graphitic carbon and absorbance during different stages of
heating (use Raman and infrared transmittance and reflectance spectrum). Do with
standards and mixtures. (Moosmuller) ................................................................................. 21
•Create oxidation rates with Arrhenius diagrams for common metal oxides. Determine
levels at which different minerals might interfere. Verify these by spiking ambient samples.
(Fung) .................................................................................................................................... 21
•Quantify effects of different catalysts on different carbon fractions. (Fung) ...................... 21
Create simulated mixtures from different source material of known fractions. Determine the
extent to which thermograms superimpose. .......................................................................... 21
Thermal & Optical Filter Methods ........................................................................................ 23
Quantify decomposition temperatures of sub-10 micron particle carbonates in pure form and
in contact with other aerosol components. Determine the extent to which different
carbonates interfere with other carbon fractions. .................................................................. 23
Generate filters with from same material with different loadings (light, grey, black) and
quantify effects of initial loading .......................................................................................... 24
•Define alternative temperature fractions that minimize pyrolysis or to better mark source
materials. (Judy Chow & Barb Z.) ....................................................................................... 25
•Evaluate initial steps (oxygen at 350, high vacuum, acidification, water through filter) prior
to combustion to minimize pyrolysis. (Cachier) ................................................................... 25
•Quantify changes in carbon fractions that result from different methods of treating the filter
prior to sampling. Melting fibers may have an effect. Opens up reactive sites. (Cachier) .. 26
•Quantify differences in carbon fraction evolved and pyrolysis caused by different durations
at different temperature steps. (Cachier) .............................................................................. 26
•Add water soluble organic material as a fraction. Can use ion water extract. (Hansson) .. 26
Properties of Carbonaceous Aerosol ..................................................................................... 26
Tabulate physical and chemical parameters for identified aerosol materials (vapor pressure,
indices refraction, densities, sizes, chemical formula, hygroscopicity, Van Hoff factor,
surface tension, molecular weights, optical cross-section, morphology, fractal dimension,
dominant size, toxicity) ......................................................................................................... 26
•Measure indices of refraction and densities of carbonaceous aerosol and standards.
McMurry at Univ of Minnesota (Fuller) .............................................................................. 27
•Define experiments and modeling to describe and quantify effects of aerosol aging on
relevant parameters. (Fuller) ................................................................................................ 27
Pyrolysis (are there parameters?) .......................................................................................... 27
•Microscopic examination of standard, source material, and ambient material for shape and
composition. (Cary) .............................................................................................................. 28
Organic Speciation and Sampling.......................................................................................... 29
•Develop sample substrates that minimize uncertainty of vapor adsorption. (Cachier) ....... 29
•Identify and quantify organic compounds adsorbed on quartz filters. (Gundel) ................. 29
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
•Develop, and evaluate the benefits of organic denuder technology for long-term networks.
(Brook) .................................................................................................................................. 29
•Develop methods to identify and quantify new organic constituents. Figure out what is in
the hump. NMR? (Zielinska) ................................................................................................ 29
•Develop methods to identify and quantify toxic components. (J. McDonald).................... 29
•Further quantify chemicals in different thermal fractions. (Zielinska) ................................ 29
•Quantify sensitivity of organic materials to environmental variables of the blank, in passive
and active sampler, transportation, and storage. .................................................................... 29
Innovative Methods ................................................................................................................. 30
•Develop instrumentation and procedures for Raman scattering measurements. (Moosmuller)
............................................................................................................................................... 30
•Develop and test in-situ continuous measurement systems. (Cary) ..................................... 30
•Add more specific detectors to thermal evolution analyses (GC, MS, AED) (Fung). ......... 30
SCHEDULE ............................................................................................................................. 30
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
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WORKING TITLE:
Research Strategies for the Sampling and Analysis of Organic
and Elemental Carbon Fractions in Atmospheric Aerosols:
Findings and Recommendations of the OCEC International
Workshop, March 3-5, 2003, Durango, Colorado
For publication in the year 2003
Authors (bold=submitted to date)
Peter Barber, Tina Bahadori, Hélène Cachier, Robert Cary, Judith Chow, Lloyd Currie, Sylvia
Edgerton, Johann Engelbrecht, Kirk Fuller, Kochy Fung, Lara Gundel, Hans C. Hansson,
George Klouda, Charles McDade, Jake McDonald, Hans Moosmuller, Marc Pitchford, Tim
Richard, John Watson, Jianzhen Yu, Barbara Zielinska
Preface
This material is based upon work supported by the National Science Foundation under Grant No.
0233861. Any opinions, findings, and conclusions or recommendations expressed in this material
are those of the author(s) and do not necessarily reflect the views of the National Science
Foundation.
OCEC International Workshop Premises:

a need exists to revisit fundamental definitions and concepts surrounding particulate
carbon in the atmosphere.

agreed upon and shared definitions, sampling and analysis methods, applied through
interlaboratory comparisons are needed to advance atmospheric aerosol research
worldwide.

This documents contains recommendations for the advancement of sampling and analysis
of organic and elemental carbon fractions in atmospheric aerosols. Recommendations
reflect the views of the world’s leading scientists on what is needed in order to advance
atmospheric aerosols research. The authors were participants of the OCEC International
Workshop, held March 4-5, 2003 in Durango, Colorado, where they generated they began
to articulate a vision of the direction research needed to go. The workshop, which is one
of a series of planned workshops on a variety of subjects, represents the desire of
members of the research community to tap into the potential for a more cooperative
interaction among researchers government agencies and sponsors, and students in the
interest of not only improving the science, but also to improve the manner in which
research and interlaboratory communication is conducted, funded, and disseminated. In
Page 4 of 30
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
addition, the organizers and participants have attempted to link discussion within the
context of global climate, human exposure and health, and visibility.

OTHERS?
Topics
(Overview text still to kome)
•Definitions
•Standardization
•Thermal and Optical Filter Analysis
•Organic Speciation and Sampling
•Carbon Physical Properties
•Innovative Instrumentation
Applications
(Overview text still to kome)
•Fundamental Science
•Source Apportionment
•Visibility
•Climate
•Health
•Soiling
Introduction
Instructions—Objectives:
Be more explicit and limiting.
Describe process to attain objectives.
Overview of content. Rationale for organization of info.
Applications of Carbon Measurements
What do we want out of carbon measurements for each application? How are they related to
other applications? One-page each.
Page 5 of 30
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
–Fundamental Science-Hansson
text still to kome
–Source Apportionment-Watson
text still to kome
Visibility—Organic and Elemental Carbon Measurement Requirements for Visibility
Effects and Federal Visibility Protection Regulatory Purposes
Marc Pitchford
The visual effects of atmospheric aerosol are related to their light scattering and absorptive
properties. Light extinction coefficient is the fractional light loss per unit of distance through the
atmosphere caused by scattering (reflectance) and absorption (conversion to heat). The light
extinction coefficient is the sum of the light scattering coefficient and light absorption coefficient.
The light scattering phase function describes the relative amount of light scattered as a function of
angle to the initial direction of the light. These atmospheric optical properties can be directly
measured. Visibility effects can be calculated using radiative transfer modeling from the
atmospheric optical properties combined with lighting and scene information. However, to relate
visibility effects to their causes, it is necessary to assess the extent to which the major particle
species contribute to light absorption and scattering.
Optical properties of particles depend on their size, shape, density and index of refraction. For
particles that are composed of non-uniform mixtures of materials, the particle-specific index of
refraction depends on the bulk characteristics of the components and the morphology of the
mixture (i.e. the dimensions, shapes and locations of the various components within the particles).
Mie Theory can be used to calculate the optical properties from such information. However,
these detailed characteristics of particle size, shape, and mixture are rarely known.
More typically, particles are sampled in several broad particle size ranges (e.g. PM2.5 and PM10)
and subjected to various bulk chemical speciation analyses methods to determine the mass
concentrations of the major species. Estimates of the light extinction coefficient contributions by
the major aerosol species are calculated by multiplying the mass concentrations of each species
by a dry extinction efficiency value and by a value related to relative humidity to account for the
enhanced extinction caused by water vapor growth of the particle in the atmosphere. The various
species-specific dry extinction efficiency values and water vapor growth as a function of relative
humidity were developed from a combination of theoretical and empirical assessments.
Comparing aerosol-calculated light extinction coefficient estimates against the directly measured
atmospheric light extinction coefficient demonstrates the reasonableness of this approach. The
dry extinction efficiency of EC is generally taken to be about two to three times higher than that
of the next highest species extinction efficiency.
The haziness index specified in the federal Regional Haze Rule is based on aerosol-calculated
light extinction because it permits direct assessment of the aerosol species responsible for causing
visibility impacts. Organic and elemental carbon are two of the six major species (also sulfate,
nitrate, fine crustal and coarse mass) measured at the 110 monitoring sites of the IMPROVE
Network used to track long-term visibility trends for the visibility-protected national parks and
wilderness areas throughout the U.S.
To serve the needs of the visibility effects and visibility protection communities OC/EC aerosol
measurements should at a minimum:
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop



Separate and quantify the mass of highly absorbing particulate carbon material (EC)
collected on the filter from the material that does not absorb light.
Quantify the mass of the carbon material that does not absorb light (OC).
Precision and accuracy of OC/EC quantification of +10% is adequate.
Other useful capabilities include:

Sample-specific factors to convert carbon mass of OC (and perhaps EC) to the mass of the
carbonaceous compounds.

Quantify the light absorption of the initial sample and as the various OC/EC materials are
evolved from the filter.

Provide an estimate of the water vapor growth factor for each sample or class of samples.

Provide additional information that can be useful in identification of the composition and
sources of the OC and EC carbonaceous materials.
–Climate-Hansson
text still to kome
–Health-Bahadori
text still to kome
–Soiling-Chow
text still to kome
Summary of Knowledge (Watson put in notes. Others elaborate)
(Overview text still to kome)
–Definitions
–Standardization
–Thermal and Optical Filter Analysis
–Organic Speciation and Sampling
–Physical and Chemical Properties
–Innovative Methods
Research Strategy
(Add to list. Explain what they sponsor, how projects are selected,
applications)
Potential Sponsors




Electric Power Research Institute (EPRI)
CMA
Environmental Protection Agency (EPA)
National Science Foundation (NSF)
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
















Department of Energy (DOE)
Department of Defense (DOD)
National Oceanic and Atmospheric Administration (NOAA)
CRC
European Commission
National NSFs
WMO
API
Southern Company
Individual car companies
o Ford
o General Motors
o Toyota
o Honda
National Park Service (NPS)
Department of Transportation (DOT)
Department of Agriculture (USDA)
California Air Resources Board (ARB)
National Institutes of Health (NIH)
HEI
RESEARCH STRATEGIES
Prepare text describing project-level strategies using this list as a guide
•Descriptive (short) title
•Objectives
•Describe benefits for different applications
•Describe research approach
•Time and resource requirements
•Needed skills, facilities, and collaboration
•Potential sponsors
Definitions
Tabulate definitions currently in use. Elaborate on terms used by different application
groups. Identify which data bases and study results use which definitions. (Tim Richard)
Carbon
Elemental Carbon (EC)
Black Carbon (BC)
Organic Carbons (OC)
Total Carbon (TC)
Soot
Black
LAC
CC
Thermal Optical Carbon (TOC)
Char
Smoke
Graphite
Graphitic
Fractions
Blank
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
Fullerene
Soluble
Extractable
COHS
Precision
Diamond
Water
Solvent
Bioavailable
PEC (pyrolycized elemental
carbon)
•Establish an applications group to arrive at consensus.
Elaborate terms needing to be defined. Use Currie references
as starting point. May be different for different application
groups. (Currie)
Standardization

Do we standardize by application (climate, visibility, health, compliance), or just use one
method?
o Question of doing air quality monitoring for compliance, only need ??? If we are
going to standardize by knowing detail components for health, then we may want
to break out for certain types of compounds. Visibility and climate are closely
related. A number of breakout groups echoed the idea: “If we are going to do all
of this monitoring, can we have one standardized method to comply with
regulations, or are we going to go with specialization; i.e., four monitoring
mechanism sitting side-by-side?” Do we develop a “one-size-fits-all” monitoring
apparatus, or do we need four different ones for visibility, climate, health . . . .
Visibility and climate may be similar and if we are monitoring for components of
PM we would probably get the same info for visibility. It is a different situation
with monitoring for health. Current monitors are for mass-based monitoring.
Those who know monitoring best should provide views on this. Speciation of
carbon side inorganic from organic separation. Monitoring is for compliance and
that means mass right now.

Should we form an expert panel to assess this issue? Such a panel, if it existed, could
potentially include air-pollution and climate scientists who would look at technical merits
of different methods, without getting into detailed technical aspects. They would examine
several issues with overarching perspective.

The future is a comparison between continuous and filter-based methods (from J.
Holmes).
(Text still to kome)
Page 9 of 30
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
•Applications community define acceptable levels of accuracy
and precision and necessary carbon fractions. (Currie)
•Establish a first-principles standard for in situ particles
suspended in air and sampled onto substrates. (Arnott)
PAT SAYS THERE IS NOTHING TO WRITE ANYMORE ON THIS SUBJECT, PER
EXPERIMENTS HE IS CONDUCTING.
Procedures and capabilities for generating material with
reproducible carbon fractions and light absorption for filter
samples (hexane soot, kerosene soot, John Holmes breakout group list)
Jake McDonald, PhD, Associate Scientist, Lovelace Respiratory Research Institute
Objectives:
1) Identify or develop procedures to create reproducible and homogenous carbonaceous
aerosol atmospheres of varying composition (including non-carbonaceous constituents).
2) Utilize these resources to collect identical filter-based samples that contain a range of
organic/elemental carbon contents and compositions.
3) Create a repository of filters that come from these well-characterized and well-defined
atmospheres that can be used as standard reference materials (SRMs) for evaluation and
comparison of carbon analysis techniques.
Benefits:
While measurements of total carbon are generally consistent, the operationally defined
organic/black carbon split that is obtained from TOA techniques can vary substantially between
methods. This variation will change in magnitude both depending on the specific TOA method
and the composition of the material on the filter (e.g. wood smoke versus diesel). This has
important impacts on interpretations of monitoring data obtained relating to visibility, climate,
and health. Due to debates over the operationally defined organic/black carbon split, it is unlikely
that a standard method will be established. There is a need for the development of SRM’s that
will allow different and emerging carbon analysis techniques to be evaluated in a systematic way.
Since differences in the defined carbon split are composition dependant, it is important that these
SRM’s consist of a (wide) range of compositions and include both “known” proportions of
organic/black carbon and unknown but reproducible SRM’s from environmentally relevant
mixtures that will be operationally defined.
Research Approach
Two categories of SRM’s should be developed:
1. Samples consisting of “known” organic/black carbon concentrations
a. Production of pure black carbon via nebulization or spark discharge.
b. Combine black carbon with synthetic organic carbon of modern origin (e.g. oleic
acid) in different proportions
i. Verify organic/black carbon split by isotopic analysis or chemical
analysis.
2. Samples consisting of complex and different proportions of organic/black carbon.
Page 10 of 30
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
a. Produce atmospheres with well defined and different materials generated from
emission sources and doped with other components. Need to cover a range of
organic/black carbon ratios and compositions. A working list:
i. Diesel exhaust with varying engine loads to produce different
organic/black carbon splits.
ii. Wood smoke over different stove operational cycles (can be combined)
to represent “real-world” compositions.
iii. Gasoline engine exhaust with varying engine loads to produce different
organic/black carbon splits.
iv. Tobacco smoke
v. Meat cooking smoke
vi. Coal derived carbon (ash from resuspension)
vii. Mixtures of controlled proportions of modern and biomass derived
carbon (examples):
1. Known proportions of wood smoke/diesel exhaust
2. Known proportions of gasoline/diesel exhaust
3. Known proportions of Wood smoke/gasoline exhaust
Time/Resource/Facility Requirements
To produce well characterized and well defined SRM materials of this nature it will require
facilities with the ability to generate simple aerosols and aerosol mixtures in a controlled and
reproducible fashion. The generation systems should be well-defined and, to the extent possible,
be consistent with standardized methods of generating materials for emissions testing or other
purposes. It is not required, but desired, that source based materials are from contemporary
origins. It is essential that the laboratory executing the sampling program have experience in
sound sampling methodologies to replicate filters. It is also essential that the research program
have a quality assurance program that will meet the requirements of a NIST certification. This is
a vital component to the result of this program. This program will likely involve collaboration
from several laboratories to generate base-line analysis data with a range of techniques that
illustrate similarities/differences among these materials. The comparison would be similar to the
frame-work that went into certifying the carbon content of the NIST SRM 1649a.
Potential sponsors
As indicated earlier, the quantitative assessment of differences/similarities among TOA
techniques is important to several research disciplines, including health (EPA, HEI, NIEHS,
DOE), visibility (e.g. NPS), and climate (e.g. NOAA, EPA, DOE).
Slurries, nebulization, suspension, bulk material, isotopic
doping. (J. McDonald)
Registry of standards and standard-generating facilities.
Tabulation of historically used standard materials for air quality
and combustion science.
(Tim Richard to develop initial format to fill in content)
Two ways to look at standards: Compliance standards and standardized sampling methods.
Page 11 of 30
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
Sources of information:
National Ambient Air Quality Standards program (NAAQS). Under the Clean Air Act, EPA is
required to review NAAQS every five years to see if changes are necessary.
Three common monitoring methods: Improve (Chow & Watson), NIOSH, and Supersite (Paul
Solomon and Rich Scheffe).
Air quality OAQPS list standards (Bachmann? et al.). Also, look in Process Criteria document.
Third standard: Profiles, standard materials (Currie). Ran through tests that we know what
properties are and know how well monitoring instruments perform.
Judy Chow: PM source profiles.
•Estimate biases caused by interactions within complex
mixtures. (Joellen Lewtas)
Specify influential properties for sampling media and estimate
consequences of deviations from the ideal. Develop practical
acceptance testing methods.
Charles McDade, University of California, Davis, 3/14/03
Objectives are to:



identify desirable properties of sampling media that will lead to accurate OC/EC
determinations;
identify undesirable properties that can cause bias or measurement artifacts, and estimate
their influence;
develop practical acceptance testing methods for screening out undesirable properties and
for quantifying deviations from ideal behavior.
The results of this project will provide:



improved knowledge of sampling media properties and their effects on OC/EC
quantification;
recommendations on standard sampling media to be used;
a basis for comparing results from measurements where different media are used.
Most sampling networks use quartz filters for collecting particles, but filter properties can differ
between manufacturers and among lots from the same manufacturer. There are two principal
attributes of filters that influence their ability to yield accurate concentrations of airborne
carbonaceous material: 1) blank levels (impurities in the filter material); and 2) varying capacity
for adsorbing gaseous organic material. Blanks are important in the measurement of EC as well
as OC, but adsorbing properties are important for OC measurements only. Furthermore, there are
differences in the materials used by various researchers to quantify positive and negative gaseous
artifacts. Many researchers use quartz afterfilters (the same material as the particulate filter),
whereas others use a variety of sorbent materials
Laboratory and field studies can be conducted to amplify existing knowledge regarding these
topics, especially to better understand the varying capacities of materials to adsorb organic gases.
Page 12 of 30
Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
Most laboratories currently conduct acceptance tests to identify contamination in blank filters.
These tests are rather straightforward, and involve analyzing new unexposed filters by standard
methods such as TOR. Acceptance testing for adsorbing capacity are uncommon, but nevertheless
important. Such tests will need to be designed to determine which gases are commonly adsorbed
(i.e., which ones are important in the atmosphere), and laboratory methods will need to be
developed to expose new filters to a prescribed atmosphere and then to evaluate how much was
adsorbed.
This project will require field and laboratory testing of a variety of media, and could require a
range of sampling equipment to accommodate different media sizes and shapes, as well as
different flowrates. This project will require laboratory facilities and expertise to expose media to
known and measurable quantities of gaseous organics, and to generalize or simplify those
techniques for use elsewhere. Potential sponsors include network operators (e.g., EPA/STN,
NPS/EPA/IMPROVE) to provide tests and procedures that they can apply routinely, and media
manufacturers who have an interest in the purity and applicability of their products.
Registry of thermal and optical analysis protocols
(Holmes list, Chow abstract)
Thermal evolution protocols are often referred to as Thermal Optical Reflectance (TOR) or
Thermal Optical Transmission (TOT) as if the method by which pyrolysis is assessed is the major
difference. Although some differences exist between optical pyrolysis detection, these are
secondary to the evolution temperatures, atmospheres, and durations for defining carbon
fractions. Large numbers of OC and EC measurements have been reported by the following
thermal and optical methods:
Method
Reference
1) Oregon Graduate Institute
thermal optical reflectance
2) IMPROVE TOR and thermal
optical transmittance (TOT)
3) NIOSH TOT
4) STN TOT
5) Aerosol Characterization
Experiments in Asia (ACEAsia) TOT
6) Hong Kong University of
Science and Technology
UST-3
7) Meteorological Service of
Canada’s MSC1 TOT
8) General Motors Research
Laboratory two temperature
9) Brookhaven National
Laboratory two temperature
10) Japanese two temperature
11) thermal manganese
oxidation
12) R&P two temperature
13) Lawrence Berkeley
Laboratory continuous
(TOR) (Huntzicker et al.,
1982)
(Chow et al., 1993, 2001)
(NIOSH, 1999)
(Mader et al., 2001)
(Yang and Yu, 2002)
(Sharma et al., 2002)
(Cadle et al., 1980)
(Tanner et al., 1982)
(Mizohata and Ito, 1985)
(Fung, 1990; Fung et al.,
2002);
(Rupprecht et al., 1995);
(Novakov, 1982)
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
temperature ramp
14) French pure oxygen
combustion
15) German VDI
(Cachier et al., 1989a,
1989b)
(Verein Deutcher
Ingenieure, 1996, 1999)
16) Other
Results of method comparisons among many laboratories provide ambiguous results owing to
subtle differences in the methods applied and the samples included in the comparison (Sadler et
al., 1981; Bennett and Patty, 1982; Cadle and Groblicki, 1982; Cadle et al., 1983; Edwards et al.,
1983; Groblicki et al., 1983; Szkarlat and Japar, 1983; Japar, 1984; Japar et al., 1984; Adams et
al., 1989, 1990; Powell et al., 1989; Cadle and Mulawa, 1990; Countess, 1990; Hanson and
Novakov, 1990; Hering et al., 1990; Lawson and Hering, 1990; McMurry and Hansen, 1990;
Turpin et al., 1990, 1997; Ruoss et al., 1991; Horvath, 1993, 1997; Petzold and Niessner, 1995a,
1995b; Hitzenberger et al., 1996, 1999; Huffman, 1996; Guillemin et al., 1997; Birch, 1998; Reid
et al., 1998; Allen et al., 1999; Lavanchy et al., 1999; Babich et al., 2000; Tohno and
Hitzenberger, 2000; Chow et al., 2001; Moosmüller et al., 2001; Schmid et al., 2001; Arnott et
al., 2002; Currie et al., 2002; Watson and Chow, 2002; Fung et al., 2002).
Essential operating parameters in analysis method to be
defined (Holmes list) Source of content: Judy Chow, Helene Cachier and Jianzhen Yu.
•Combustion atmospheres
•Temperature ramping rates
•Temperature plateaus
•Residence time at each plateau
•Optical monitoring configuration and wavelength
•Standardization
•Oven flash
•Sample aliquot and size
•Oxidation (C to CO2) catalyst
•Evolved carbon detection method
•Carrier gas flow through or across the sample
•Location of the temperature monitor relative to the sample
•Create a framework for interlaboratory comparisons and data
analysis. Numbers and types of samples, statistical
comparison methods, resolving and understanding differences,
specific definition of method. (J. Chow)
An examination of IMPROVE blank thermograms for
consistency and indications of adsorption (generalize
Kirchstetter example).
Charles McDade, UC Davis, 3/14/03
Objectives are to:
1) Determine the variability of IMPROVE blank thermograms between filter lots and
between sites.
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2) Estimate the uncertainty imposed by changing lots during a measurement period (quarter
or month).
3) Reevaluate the uncertainty imposed by sampling afterfilters at 6 sites and applying the
median value to the entire network.
4) Better understand the mechanisms by which organic gases are bound to filters, such as
the multiple binding energies proposed by Kirchstetter.
The results of this project will help to:
1) Determine whether an approach is needed that would require distinct breaks between
filter lots.
2) Apply Kirchstetter’s analysis to TOR thermograms.
3) Better understand, and also reduce, the uncertainty in applying afterfilter artifact
corrections.
Kirchstetter (Atmos. Environ., 35, 1663-1671, 2001) has shown that different quartz filter lots
exhibit different affinities for gaseous organic material. Consequently, artifact corrections using
afterfilter values can vary considerably and can significantly influence the reported ambient OC
concentrations. Kirchstetter’s results are based on the Novakov EGA thermal analysis method.
There is a need to investigate similar differences that might be observed using the more
commonly applied TOR method, and to determine how lot-to-lot differences should be
incorporated into the IMPROVE data interpretation (artifact correction, in particular). TOR
thermograms exist for blanks and afterfilters for a variety of IMPROVE filter lots exposed over a
period of years. This work would entail examining this historical record and evaluating
differences among lots, as well as from site to site. It will be particularly instructive to examine
the standard deviation of afterfilter values within periods when lots changed. It will also be
necessary to revisit the uncertainty imposed by applying the median afterfilter value to the entire
network during each defined period.
In addition to work with ambient samples, Kirchstetter also exposed filters to single compounds
or groups of compounds (hexadecane, hexanol, etc.) and evaluated the EGA thermograms.
Among other findings, he found that many compounds exhibit more than a single binding energy,
so that the same compound may be apparent at different temperatures on a single thermogram.
Similar work needs to be performed for TOR thermograms.
Much of this work can be performed using existing IMPROVE thermograms. Some additional
laboratory work will be required to expose filters to known amounts of single compounds and
then to conduct the TOR analyses. This work would most likely be done at UC Davis and DRI.
Since the filters are from IMPROVE, the most likely sponsors would be the existing IMPROVE
sponsors.
Define methods to determine consistency (e.g., material
balance, chemical extinction, sum of organic compounds,
soluble less than total). Accounting for liquid water. Weighing
and extinction budgets.
Richard Countess, Countess Environmental, Westlake, California
Ideally, there will be a consistency in the methodology employed by different investigators to
perform a chemical mass balance or a chemical extinction budget. Sadly, this is not the case in
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many instances. It is important that all underlying assumptions are well documented, and that the
assumptions should be scientifically robust.
Material Balance
Performing a chemical mass balance (also called material balance) involves summing up the
concentrations of all measured particulate species and comparing this result with the
gravimetrically measured mass concentration. Difference between these two parameters (i.e.,
sum versus measured mass) yields an estimate of the concentration of unmeasured species such as
oxygen associated with soil related elements; oxygen, nitrogen and hydrogen associated with
organic aerosol species; and liquid water absorbed on hygroscopic particles. Reconstructing mass
concentrations involves applying different multipliers to the measured species to account for the
unmeasured species.
There are three published formulas for calculating the concentration of geological material, also
called soil, (J. Chow, private communication, 9/24/02), namely:
 Soil = 1.89Al + 2.14Si + 1.4Ca + 1.43Fe (Solomon et al., 1989)
 Soil = 1.89Al + 1.57Si + 1.2K + 1.4Ca + 1.43Fe (Zhang et al., 1994)
 Fine soil = 2.2Al + 2.49Si + 1.63Ca + 2.42Fe + 1.94Ti (IMPROVE, 2002).
The last equation has been used by U.C. Davis and the National Park Service (NPS) to estimate
soil contributions for PM2.5 samples acquired from the IMPROVE network. This equation has
recently gained more attention because it is being used as a standard way of calculating chemical
light extinction to determine increments of reasonable progress under the Regional Haze Rule
(USEPA, 2001). It should be pointed out that the article on reconstructed PM2.5 mass published
by Sisler and Malm (2000) contains an incorrect multiplier for Si, namely 2.19.
The concentrations of the major chemical components of interest for the IMPROVE network are
calculated as follows (Watson, 2002):
 ammonium sulfate, (NH4)2SO4 = 4.125 [S]
 ammonium nitrate, NH4NO3 = 1.29 [NO3]
 organics =1.4 [OC], where OC = organic carbon measured by the TOR analysis scheme
 light-absorbing carbon (LAC, also called soot) = EC, where EC = elemental carbon
measured by the TOR analysis scheme
 soil (also called fugitive dust) =2.2 [Al]+2.49 [Si]+1.63 [Ca]+2.42 [Fe] + 1.94 [Ti]
Several assumptions are made regarding the unmeasured nitrogen, hydrogen, and oxygen
associated with different chemical compounds. The 4.125 multiplier for sulfur (S) assumes that
all S is in the form of ammonium sulfate where any sulfuric acid has been completely neutralized
by ammonia; unmeasured oxygen supplies a factor of three, which is further modified by a factor
of 1.375 to account for unmeasured ammonium. The 1.29 multiplier for nitrate assumes that all
nitrate is present as ammonium nitrate. Obviously, the presence of any sodium nitrate, which
tends to be in the coarse size mode, will affect the accuracy of the multiplier used for nitrate.
The multipliers used for the major elements associated with soil assume that the soil composition
is 100% Al2O3, SiO2, CaO, and TiO2 with equal amounts of FeO and Fe2O3. The protocol used
for the IMPROVE network specifies a secondary correction of 0.6(Fe) to estimate the K 2O
content. Potassium (K) measured by XRF is not used directly because it includes both potassium
of geological origin as well as potassium originating from vegetative burning. According to
Sisler and Malm (2000) these assumptions yield a reconstructed mass concentration that accounts
for 86% of the total soil mass. Thus, these authors recommend applying an additional factor of
1.16 to account for other species associated with soil (e.g., MgO, Na2O, H2O, and CO2). This
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additional factor of 1.16 is reflected in the multipliers for the key soil related elements included in
the equation above.
In his analysis of PM10 and PM2.5 samples from the California Regional Particulate Air Quality
Study (CRPAQS), Countess (2002) did not use this additional factor of 1.16 since the
reconstructed mass concentrations were already equal to or larger than the actual measured mass
concentrations without this additional correction. Countess (2002) calculated reconstructed mass
concentrations using the conventional factors of 1.4 for organic carbon (to account for
unmeasured hydrogen and oxygen), 1.29 for nitrate (that assumes that all the nitrate is present as
ammonium nitrate), and 1.38 for sulfate (that assumes all the sulfate is present as ammonium
sulfate), plus the following multipliers for the major elements associated with soil: 1.89 for
aluminum, 2.14 for silicon, 1.40 for calcium, 1.87 for iron, and 1.67 for titanium which assumes
that the major elements associated with soil are present as their predominant oxides (i.e., Al 2O3,
SiO2, CaO, K2O, and TiO2, with iron present as an equal mixture of FeO and Fe2O3). The factor
for iron includes a term to account for potassium associated with soil, K soil, where Ksoil is equal to
the total amount of potassium measured by XRF, Ktotal, minus the water soluble potassium, Ksol,
associated with vegetative sources measured by Atomic Absorption, and Ksoil = 0.428 Fesoil based
on a regression analysis of PM10 Minivol data for these two elements. Reconstructed mass also
included the other measured chemical species: elemental carbon, water soluble sodium and
potassium, and the balance of the 40 elements measured by XRF excluding Na and S. Countess
(2002) found that calculated reconstructed PM10 and PM2.5 mass concentrations were
systematically higher than the measured PM10 and PM2.5 mass concentrations. This was
especially noticeable for concentrations below 30 g/m3. The sum of species (a parameter that
excludes any multipliers to account for unmeasured species) was also systematically higher than
measured mass concentrations for concentrations below 15 g/m3. For concentrations >30 g/m3
the reconstructed mass concentration for most records was within 10% of the reported mass
values.
The 1.4 multiplier applied to OC measurements to account for unmeasured chemical species
associated with organic compounds is traceable to two samples taken in the early 1970s in
Pasadena, CA. Turpin and Lim (2001) have recommended that a multiplier of 1.6 be used for
urban organics, a multiplier of 2.1 be used for non-urban organics, and a multiplier of 2.2 to 2.6
be used for samples affected by large contributions from vegetative burning. Multipliers of 1.6
and 2.3 for non-polar and polar organic compounds, respectively, are recommended by Zielinska
(2003). Thus, the 1.4 multiplier is a lower limit more applicable to fresh hydrocarbon emissions.
Soot is set equal to unity times EC, although soot is a complex mixture of carbon and other
species such as O, H, S, and N.
ARB calculates reconstructed mass concentrations using a multiplier of 1.29 for nitrate, 1.38 for
sulfate, 1.4 for OC, 1 for EC, 1.89 for aluminum, 2.14 for silicon, 1.4 for calcium, 1.43 for iron
(which assumes that iron is present solely in the form of Fe2O3 rather than the more generally
accepted assumption of an equal mixture of FeO and Fe2O3), and does not include a multiplier for
potassium or titanium to account for oxygen associated with K2O and TiO2 (K. Turkiewicz,
private communication, 9/17/02). According to the statement of work for two of ARB’s
CRPAQS data analysis contractors, DRI and ENSR, the multipliers employed by ARB will be
used for calculating reconstructed mass concentrations for particulate samples from the CRPAQS
network (R. Hackney, private communication, 9/5/02).
According to Watson (private communication, 5/31/02), the reconstructed mass concentrations
during the summer can be higher than the measured mass concentrations because: (1) the organic
carbon measured on the quartz filter is positively biased (this is especially a problem if the
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
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ambient organic aerosol concentrations are low and organic vapors are absorbed by the quartz
filter making the organic carbon higher than it is); (2) some of the particle organics may have
evaporated from the Teflon filter making the mass lower than it should be; and/or (3) the XRF
self-absorption corrections used for Al and Si may be larger than they need to be based on the
size distribution assumed by DRI for soil particles. If the soil particles are actually smaller than
the size distribution assumed by DRI, then these low atomic number elements don't absorb as
much of the emitted x-rays and their reported concentrations are too high. DRI often finds the
reconstructed mass during the winter to be lower than the measured mass because: (1) some of
the hygroscopic particles (e.g., ammonium nitrate) still contain unmeasured liquid water; and/or
(2) more polar organic compounds from wood burning and secondary aerosols may have more
oxygen atoms than are assumed by the 1.4 multiplier. Countess (2002) found that the ratio of
reconstructed mass to measured mass for particulate samples from the CRPAQS network to be
dependent on concentration rather than season.
The filter-based measurements used for ambient monitoring networks such as IMPROVE and
CRPAQS are state of the art but suffer from the same difficulties as all filter-based technologies:
(1) particles change after they are removed from the atmosphere; (2) the filter interacts with the
gases and particles that pass through it; and (3) particle deposits are small (usually less than 1 mg
of mass), requiring low laboratory detection limits, and can be easily contaminated. PM2.5 and
PM10 particle mass are measured gravimetrically on Teflon-membrane filters after equilibration
at low relative humidity to remove most of the absorbed water. Even after this equilibration,
some evidence of water in soluble particle deposits has been found, which is another reason that
measured and reconstructed mass sometimes disagree for high sulfate and nitrate concentrations.
DRI’s Level II validation scheme for filter analyses is based on evaluating the ratio of the sum of
measured species (excluding Cl-, K+, and S,) to mass (J. Chow, private communication , 9/24/02).
If the ratio exceeds 1 ± 2 sigma (where sigma is the propagated uncertainty), the sample is
checked for the XRF/mass ratio, carbon/mass ratio, ion balance, SO4=/S ratio, Cl-/Cl ratio, and
K+/K ratio. All suspect samples then are reweighed or reanalyzed. If the reanalyses show ratios
still exceeding the acceptable range, then the sample results are flagged.
Reconstructed Chemical Light Extinction
The reconstructed chemical light extinction, bext (expressed in units of Mm-1), for particulate
samples collected in the IMPROVE network is calculated as follows (Sisler and Malm, 2000):
bext =3 f(RH)[(NH4)2SO4 + NH4NO3] + 4 [organics ] + 10 [LAC ] + 1 [fine soil] + 0.6 [coarse
mass] + 10
The final term of 10 Mm-1 accounts for clear air Rayleigh scattering, and the coefficients are
extinction efficiencies in units of m2/g. A relative humidity (RH) scattering enhancement factor,
f(RH), for ammonium sulfate and ammonium nitrate is used to account for increased scattering
efficiencies as these hygroscopic chemical species absorb liquid water and increase in size.
Coarse mass is determined from the difference of PM10 mass and PM2.5 mass. The chemical
light extinction budget assumes: (1) constant dry extinction efficiencies (i.e., the amount of light
scattered or absorbed per unit mass concentration) of 3 m2/g for ammonium sulfate and
ammonium nitrate, 4 m2/g for organics, 10 m2/g for soot, 1 m2/g for fine soil, and 0.6 m2/g for
coarse mass; (2) ammonium sulfate and ammonium nitrate extinction efficiencies increase with
increasing relative humidity (RH) according to a common growth curve, f(RH), based on their
tendency to absorb liquid water, while relative humidity has no effect on the extinction
efficiencies of other particles (It should be pointed out that water soluble organics may absorb
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water, but the few experiments that exist have shown any uptake of water to be much lower than
that for inorganic aerosol species]; (3) ambient samples have the soil composition specified in the
IMPROVE protocol (IMPROVE, 2002), and organics use a multiplier of 1.4 for organic carbon
(OC) to account for unmeasured hydrogen, oxygen, and other non-carbon species; (4) groundlevel filter samples represent the chemical composition of the atmosphere along the sight path
when it is being viewed; and (5) the six components used to calculate chemical extinction do not
interactively affect chemical extinction.
The statement of work for one of ARB’s CRPAQS data analysis contractors, ENSR, states that
the following extinction efficiencies will be used for calculating reconstructed light extinction
(expressed in units of m2/g) for analyzing data from CRPAQS (R. Hackney, private
communication, 9/5/02):
 3[0.7/(1-RH)0.7] for ammonium sulfate and ammonium nitrate
 4[0.7/(1-RH)0.2] for organics
 10 for LAC
 2 for fine soil
 0.6 for coarse soil
References
Countess, R. J., 2002. “Quantifying the Contribution of Fugitive Geological Dust to Ambient PM10 and
PM2.5 Concentrations in the San Joaquin Valley,” Final Report prepared for the San Joaquin Valley
APCD, Countess Environmental, Westlake Village, CA, December.
IMPROVE, 2002. Interagency Monitoring of Protected Visual Environments-Data Resources. National
Park Service, Ft. Collins, CO. http://vista.cira.colostate.edu/IMPROVE.
Sisler, J. F., and W. C. Malm, 2000. “Interpretation of Trends of PM2.5 and Reconstructed Visibility from
the IMPROVE Network,” J.AWMA, 50: 775-789.
Solomon, P.A.; Fall, T.; Salmon, L.G.; Cass, G.R.; Gray, H.A.; and Davidson, A., 1989. “Chemical
Characteristics of PM10 Aerosols Collected in the Los Angeles Area. J. Air Pollution Control Assoc.,
39(2):154-163.
Turpin, B. J., and H. J. Lim, 2001. “Species Contributions to PM2.5 Mass Concentrations: Revisiting
Common Assumptions for Estimating Organic Mass,” Aerosol Sci. Technol., 35: 602-610.
U.S.EPA, 2001. Draft Guidance for Tracking Progress Under the Regional Haze Rule. Prepared by U.S.
Environmental Protection Agency, Research Triangle Park, NC.
http://vista.colostate.edu/IMPROVE/Publications/GuidanceDocs/guidancedocs.htm.
Watson, J. G., 2002. “2002 Critical Review – Visibility: Science and Regulation,” J.AWMA, 52:628-713.
Zhang, X.Q.; Turpin, B.J.; McMurry, P.H.; Hering, S.V.; and Stolzenburg, M.R., 1994. “Mie Theory
Evaluation of Species Contributions to 1990 Wintertime Visibility Reduction in the Grand Canyon,”
J.AWMA, 44(2):153-162.
Zielinska, B, 2003. “Organic Carbon Concentration and Composition in Fine Particulate Matter Collected
During ARIES Study,” presentation at International Workshop for the Development of Research
Strategies for the Sampling and Analysis of Organics and Elemental Carbon Fractions in Atmospheric
Aerosols, Durango, CO, March 3-5.
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Thermal & Optical Filter Methods
•Calculate changes in transmission and reflectance during
analysis. Bound the uncertainties of pyrolysis correction for
different presumed situations. Specify some cases. Evaluate
deviations for different sample loadings. (Kirk Fuller)
The differences between black carbon mass concentrations
obtained by light transmission and thermal/optical methods
Peter Barber, Research Professor, Desert Research Institute
Objectives are to: (1) evaluate the mathematical models that are used to convert light transmission
(attenuation) measurements to black carbon mass concentrations; (2) investigate artifacts, such as
reflectance, that may introduce erroneous light transmission results (reflectance appears as
increased attenuation); (3) examine the thermal/optical methods to understand the relationship
between the changes in optical transmission (and/or reflectance) and the thermal-induced changes
in the physical characteristics of loaded filters; i.e., thermal desorption of organic carbon prior to
the detection of CO2 produced by elemental carbon combustion. The role of carbonates and
sulfates will also be considered.
Since light interactions with filters are key to both methods, the results of the above work will
provide the information necessary to understand the differences between black carbon mass
concentrations obtained with the two approaches. If the observed differences between the two
methods can be satisfactorily resolved, then this may strengthen the case for moving to straight
optical techniques, a relatively rapid and inexpensive approach, to determine black carbon mass
concentrations on filters.
The research approach will begin with an evaluation of the limitations of existing optical models
for simulating reflectance, absorption, and transmission by unloaded and loaded filters. This will
likely result in the development of improved simulation models based on radiation transfer
analysis, probably using fractal rather than spherical particles embedded in a multiple-scattering
medium. Particular attention will be paid to the inverse problem, i.e., using measurements to infer
the physical characteristics of the materials deposited on the filters. The complexity of the
materials on the filters will likely require multi-wavelength approaches. These models will be
used to better understand straight optical approaches to obtaining black carbon mass
concentrations as well as to infer the time-dependent physical characteristics of the
thermal/optical approach. The goal of this work is to resolve the differences between the two
methods.
Two sets of resources will be required – computational and laboratory. The computations can be
run on a standard high-end PC. The laboratory work will involve controlled experiments with
carbon analyzers and optical light scattering instrumentation, both with prepared filter samples.
This work will require expertise in electromagnetic theory, carbon analysis, laboratory optics, and
data analysis. Potential sponsors are network operators (e.g., EPA/STN and
NPS/EPA/IMPROVE), the National Science Foundation and NOAA’s Office of Global Change,
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
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owing to the widespread use of filter measurements for climate applications, and the Department
of Energy, owing to its interest in the production of black carbon by inefficient combustion
processes.
•Quantify changes in form of graphitic carbon and absorbance
during different stages of heating (use Raman and infrared
transmittance and reflectance spectrum). Do with standards
and mixtures. (Moosmuller)
•Create oxidation rates with Arrhenius diagrams for common
metal oxides. Determine levels at which different minerals
might interfere. Verify these by spiking ambient samples.
(Fung)
•Quantify effects of different catalysts on different carbon
fractions. (Fung)
Create simulated mixtures from different source material of
known fractions. Determine the extent to which thermograms
superimpose.
Evaluation of TOA Thermograms for Superimposed Source Samples
Marc Pitchford, National Oceanic and Atmospheric Administration
The objective of this work is to assess the extent to which individual carbonaceous source types
can be separately identified when emissions from two or more are combined on the same filter
sample. This work will support the appropriate use of TOA thermograms for source
apportionment. Knowledge of the sources responsible for the major components of atmospheric
aerosol, including OC/EC, are essential to technical understanding and policy decisions for
health, visibility, global climate, and materials effects applications.
Source-specific samples for carbonaceous aerosol (e.g. diesel exhaust, meat cooking, wood
smoke, etc.) are known to produce distinctive thermograms. If these thermogram characteristics
from specific source types are conserved during transport in the atmosphere and if the
thermograms resulting from multiple source influence are simply superimposed in a composite
sample thermogram, then source profile thermograms could be used with Chemical Mass Balance
types of receptor modeling to apportion ambient sample thermograms. Even if the thermogram
characteristics of a source sample age during atmospheric transport, it may be possible to use
other receptor modeling methods (i.e. UNMIX, PMF, etc.) to identify source types if the
atmospheric changes are consistent. However these other methods still require that thermogram
characteristics from multiple sources superimpose additively.
This work consists of collecting filter samples from a variety of carbonaceous sources on
individual filters, and composite filters with known relative contributions from two or more
distinctive sources (e.g. 20% meat cooking & 80% diesel). TOA analysis is used to generate
thermograms that represent the individual source and the composite source samples. Data
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
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analysis consists of assessing the degree to which the composite source samples can be
represented by adding the appropriate contributions from the individual source sample
thermograms. Additional work of this type could also involve spiking individual source and
composite source samples with know amounts of non-carbonaceous aerosols (e.g. crustal
material, various sulfate or nitrate compounds) that are common in atmospheric aerosol to assess
matrix effects that might change the thermograms in a way that reduces their utility for source
attribution.
Resource requirements include facilities for source sampling of the major carbonaceous aerosol
plus a capability to conduct TOA (ideally using both IMPROVE TOR and STN TOT methods,
since these produce most of the ambient data available for source attribution). This research
could be completed in a year if done by an organization with the required facilities and
experience. Potential sponsors for this work include particle speciation network operators (EPA,
NPS, etc.), carbonaceous source industry affiliated groups (DOE, DOT, API, Automotive
industry, etc.) and application groups (visibility - Regional Planning Organizations, global
climate - NOAA, NSF NASA, etc).
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Thermal & Optical Filter Methods
Quantify decomposition temperatures of sub-10 micron particle
carbonates in pure form and in contact with other aerosol
components. Determine the extent to which different
carbonates interfere with other carbon fractions.
Reactions of Carbonate Minerals in Aerosol Samples
Johann P. Engelbrecht, Desert Research Institute
2) Objectives are to:
1) Identify minerals commonly found in certain ambient aerosol sample suites.
2) Assess which mineral reactions could be taking place on the filter punch in the TOR carbon
analyzer during the heating stages.
3) Establish to which extent mineral carbonates in the sample influence the TOR measurement
of other carbon fractions.
4) Review the method for the quantitative analyses of mineral carbonates in aerosol filter
samples.
The results from this study will provide researchers and analytical laboratories with a better
understanding of, and a more accurate methodology for the analyses of aerosols containing high
percentages of carbonate soil dust. The additional mineralogical information, together with
chemical results of aerosols can better distinguish amongst different soils. Knowledge of the
mineral content of aerosols is of importance to global climate modeling, visibility studies, as well
as health effects.
The experimental procedure will involve the identification of the mineral phases in the original
aerosol sample, the reaction products formed at various heating temperatures, as well as the
measurement of gases such as CO2 being evolved at different temperatures.
3) Apparatus for the experimental work include:
1)
2)
3)
4)
5)
Re-suspension chamber for the preparation of filter samples.
XRF, AA, AC, IC for the chemical analyses of samples.
TOR carbon analyzer for the measurement of carbonate and other carbon species.
X-ray diffractometer (XRD) for the identification of mineral phases.
Differential Thermal Analyzer (DTA) for the measurement of mineral phase transition and
mineral reaction temperatures.
6) Thermo Gravimetric Analyzer (TGA) for the measurement of mass changes (e.g. CO2, H2O
losses) at various temperatures.
Items 1-3 are available at the DRI, while items 4-6 are facilities housed at the Bureau of Mines
and the Department of Chemical and Metallurgical Engineering at UNR in Reno.
Potential sponsors for mineral dust aerosol projects include SERDP (DoD, DoE, NSF) because of
their concern for health, visibility and environmental effects of dust emissions due to military
operations in the dry southwestern regions of the USA and other desert regions of the world, as
well as NOAA for their interest in the effect of mineral dusts on global climate.
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Generate filters with from same material with different
loadings (light, grey, black) and quantify effects of initial
loading
Evaluation of TOA Results as a Function of Filter Loading
(Marc Pitchford, National Oceanic Atmospheric Administration)
The objectives of this work are to assess the effects of filter loading on TOA analysis and thereby
define an effective operational range for filter loading. The results of this work will provide
design criteria for samplers and monitoring programs as a function of anticipated ambient
concentrations. It will also provide data processing and user groups with criteria for assessing
data quality and appropriateness for use in various applications.
TOA is applied to filter samples with a wide range of sample loading despite having little
knowledge of the effects of loading. Lightly loaded samples may be below detection limits or
experience problems of poor precision due to issues such as adjustments for imprecisely known
blank values. Heavily loaded filter samples may suffer from greater matrix effects (i.e.
interactions of sampled material resulting in thermogram modifications), problem in the optical
monitoring process due to thick/opaque samples, and/or insufficient time for the material to
evolve at each temperature step of the TOA procedure.
This work consists of collecting sets of replicate ambient, source and/or chamber generated
aerosol filter samples with a wide range of sample loadings (i.e. from very lightly loaded to
nearly clogged filters). These can be generated by filtering for the same period of time with
samplers using a range of filter face velocities, sampling a constant aerosol source or chamber for
various times using the same face velocities, or using a particle-free air dilution system to
maintain the same filter face velocity and sample period but have different sample loading on the
filters. These should include filter samples with mixtures of particles with various carbonaceous
and inorganic materials, typical of those found in ambient and source sampling. Data analysis
consists of comparing the thermograms from the replicate samples with different loading levels to
identify the low and high loading conditions that produce essentially the same results. An
acceptable operational range may depend on the mix of materials in the samples so the results
may involve development of a set of operational conditions or some sample-specific means to
assess the credibility of the TOA results (e.g. by examining some characteristics of the
thermograms).
Resources requirements include facilities for producing the replicate filters with various loadings
and the capability to conduct TOA (ideally using both the IMPROVE TOR and STN TOT
methods since they produce most of the ambient data in the U.S.). This work could be completed
in one to two years depending on the availability of the appropriate facilities and whether
preliminary results suggest that a simple operational range for various TOA methods is suitable,
as opposed to a more complex procedure for determining sample-specific assessment of
acceptable loading. Potential sponsors for this work are the particle speciation network operators
(EPA, NPS, etc.)
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
•Define alternative temperature fractions that minimize
pyrolysis or to better mark source materials. (Judy Chow &
Barb Z.)
•Evaluate initial steps (oxygen at 350, high vacuum,
acidification, water through filter) prior to combustion to
minimize pyrolysis. (Cachier)
Model the optical effects on transmittance and reflectance pyrolysis corrections
during thermal evolution analysis.
Judith Chow, Desert Research Institute, Reno, Nevada
4) Objectives are to:
1) Understand optical differences between light absorbing particles in air and deposited on a
filter.
2) Quantify potential biases in optical pyrolysis corrections.
3) Provide guidance for method characterization experiments.
The results of this project will provide users of measurements from different methods with
quantitative estimates of deviations from optical properties in the atmosphere and among the
methods. A by-product will be computational tools (documented software) that can be used by
others to evaluate deviations under user-defined situations.
Several models of varying complexity can be applied to simulate how optical properties of the
same particles might differ between their suspension in air, their deposition on different types of
filters, and during a thermal/optical carbon analysis. A simple model can be applied to examine
solid layers of different indices of refraction to simulate material deposited on the surface of and
throughout different filter media. Parametric studies using this model will systematically vary
with: 1) real and imaginary components of the refraction index to determine how reflectance and
transmittance change with different aerosol mixtures and changing composition during thermal
analysis; 2) location of a deposit within different parts of the filter to determine how
transmittance and reflectance might change as adsorbed gases pyrolyze and how particle
penetration within the filter affect the optical pyrolysis correction; 3) dependence of transmission
and reflectance on wavelength of the incident light; 4) changes in reflectance and transmission as
a function of filter loading; and 5) non-absorbing layers on top of and interspersed with absorbing
layers. Parametric studies of concentric spheres can be modeled when they are in the air and
when they are imbedded in a refractive medium such as a quartz-fiber filter. This will provide a
more realistic description of how absorption efficiencies will change as an organic or inorganic
shell around a carbon core evaporates or pyrolizes at different temperatures. Dipole and fractal
models can better represent deviations from the assumption of spherical particles. Fresh
emissions are often long-chain aggregates of many smaller particles in close proximity, and
multiple scattering is expected. These may change shape during heating, with a consequent
change in absorption efficiency.
This project will require expertise in mathematically modeling, aerosol sampling and thermal
evolution analysis, software engineering, and data analysis. The most complex models are
computationally intensive, but they can be implemented on high-level workstations. Potential
sponsors are network operators (e.g., EPA/STN, NPS/EPA/IMPROVE) to provide more realistic
uncertainty estimates of their data, the National Science Foundation and NOAA’s Office of
Global Change, owing to the widespread use of filter measurements for climate applications, and
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
the Department of Energy, owing to its interest in the production of black carbon by inefficient
combustion processes.
•Quantify changes in carbon fractions that result from different
methods of treating the filter prior to sampling. Melting fibers
may have an effect. Opens up reactive sites. (Cachier)
•Quantify differences in carbon fraction evolved and pyrolysis
caused by different durations at different temperature steps.
(Cachier)
•Add water soluble organic material as a fraction. Can use ion
water extract. (Hansson)
Properties of Carbonaceous Aerosol
Tabulate physical and chemical parameters for identified
aerosol materials (vapor pressure, indices refraction, densities,
sizes, chemical formula, hygroscopicity, Van Hoff factor,
surface tension, molecular weights, optical cross-section,
morphology, fractal dimension, dominant size, toxicity)
Sylvia Edgerton, Staff Scientist, Pacific Northwest National Laboratory
There are so many compounds, so many mixtures, so many properties, that this
subject really has to be an issue of setting priorities. Exactly which species are we
most interested in and what properties? The topic is relevant but too vague to for a
research plan. Perhaps we should compile or put together a compilation of these
materials, starting with whatever material NIST is using and make sure that that is
well characterized. Then, identify some way of estimating properties for mixtures.
Objectives are to: 1) tabulate known physical and chemical properties (e.g. vapor
pressure, indices of refraction, densities, sizes, chemical formula, hygroscopicity, Van
Hoff factor, surface tension, molecular weights, optical cross-section, morphology,
fractal dimension, dominant size, toxicity) for selected carbonaceous aerosol
materials; and 2) compile a well-defined set of carbonaceous aerosol standards with
specific and relevant physical and chemical properties; and (3) develop methods and
models for estimating chemical and physical properties for mixed and aged aerosols.
The results of this project will provide users with relevant information for
measurements and modeling of atmospheric aerosol and estimating the impacts on
human health and the environment.
While there are many volumes (and libraries) of physical and chemical properties of
materials available, many do not contain values relevant for atmospheric aerosol
measurements (especially for carbon containing aerosols) or for estimating the
impacts of aerosols on human health or climate change. Where aerosol toxicity is a
concern, properties such as solubility, reactivity, partitioning coefficients,
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
biosorption, bioaccumulation, and other parameters may be of most interest. Where
visibility and climate change are of interest, the optical properties of the aerosol are
likely to be more important.
Therefore, because this area of research is potentially so broad, proposed research
is best targeted for specific purposes (i.e. health, climate, etc.) and with well-defined
research outcomes. Defining physical and chemical properties through laboratory
studies can be time consuming and expensive. Thus before such studies are
initiated, it is recommended that priorities for measurement are established.
Potential sponsors for research related to carbonaceous aerosols and human health
are the National Institute of Environment Health Science (NIEHS/NIH) and the
Environmental Protection Agency (EPA). For carbonaceous aerosols related to
climate change, the National Science Foundation (NSF), the National Aeronautics and
Space Administration (NASA), and the National Oceanic and Atmospheric
Administration (NOAA) are potential sponsors. For standards related research, the
National Institute of Standards and Technology (NIST) is a potential sponsor.
•Measure indices of refraction and densities of carbonaceous
aerosol and standards. McMurry at Univ of Minnesota (Fuller)
•Define experiments and modeling to describe and quantify
effects of aerosol aging on relevant parameters. (Fuller)
Pyrolysis (are there parameters?)
Jianzhen Yu, Assistant professor, Hong Kong University of Science & Technology
The objective is to identify the major parameters in affecting pyrolysis of atmospheric aerosol
OC. Results from this project will guide us in selecting thermal analysis conditions that are
favorable to charring minimization and therefore improves the accuracy of ECOC split.
Correction of OC pyrolysis is necessary for EC and OC determination using thermal methods.
The use of optical charring correction has improved the accuracy of EC and OC measurements in
comparison with thermal methods that rely on temperature alone to differentiate EC and OC
(Birch, 1998; Schimid et al., 2001). Ideally, all thermal/optical methods should converge on the
same value for EC as a result of their common definition for EC; i.e., EC is the fraction of TC
that accounts for the light extinction properties of the sample at the start of analysis (Fung et al.,
2002). However, significant variation in measured EC concentrations was reported when the
same lab analyzed filters using thermal methods that employ the same charring correction scheme
but different thermal conditions (Yang and Yu, 2002; Schauer et al., 2003). This suggests that the
charring correction scheme is one source for the EC and OC measurement uncertainties. The
optical charring correction scheme assumes that EC formed through pyrolysis of OC, referred as
PEC hereafter, and native aerosol EC have the same light absorption coefficient at the monitoring
light wavelength. Yang and Yu (2002) have shown that such an assumption is not valid. They
have further deduced that the degree of over or under-estimation of native EC is proportional to
the degree of overlap between PEC and native EC. Consequently, minimization of pyrolysis
would improve the accuracy of EC measurements in thermal/optical methods since less PEC
means less overlap between PEC and native EC. This leads to the importance of understanding
the factors affecting pyrolysis.
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
Apart from chemical compositions of aerosol OC, there is evidence to show factors such as
carbon loading on the filter, filter brand, and thermal analysis conditions (e.g., temperature,
temperature ramping rate, residence time at each temperature plateau, combustion atmosphere)
affect the amount of charring. However, systematic efforts are lacking in quantifying the effects
of these factors on EC and OC measurements in ambient and source samples.
Field studies can be conducted to collect ambient and source samples onto filters of different
brands (e.g., Whatman, Pall-Gellman) and to collect the same aerosol materials at different flow
rates to give various filter loadings for testing. Subsequent laboratory work involves manipulation
of the thermal analysis conditions on a thermal/optical analyzer to observe variation of pyrolysis
extent. This project requires expertise and equipment in aerosol sample collection and laboratory
facilities for carbon analysis by thermal/optical methods.
References:
Birch, M. E. Analysis of Carbonaceous Aerosols: Interlaboratory Comparison, Analyst, 1998, 123, 851857.
Fung, K.; Chow, J. C.; Watson, J. G. Evaluation of OC/EC Speciation by Thermal Manganese Dioxide
Oxidation and the IMPROVE Method. J. Air & Waste Manage. Assoc. 2002, 52, 1333-1341.
Schauer, J. J. et al., ACE-Asia Intercomparison of a Thermal-Optical Method for the Determination of
Particle-Phase Organic and Elemental carbon. Environ. Sci. Technol. 2003, 37, 993-1001.
Schmid, H., et.al. Results of the ‘Carbon Conference’ International Aerosol Carbon Round Robin Test
Stage I. Atmos. Environ. 2001, 35, 2111-2121.
Yang H.; Yu J.Z. Uncertainties in Charring Correction in the Analysis of Elemental and Organic Carbon in
Atmospheric Particles by Thermal/Optical Methods, Eviron. Sci. Technol. 2002, 36, 5199-5204.
•Microscopic examination of standard, source material, and
ambient material for shape and composition. (Cary)
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
Organic Speciation and Sampling
•Develop sample substrates that minimize uncertainty of vapor
adsorption. (Cachier)
•Identify and quantify organic compounds adsorbed on quartz
filters. (Gundel)
•Develop, and evaluate the benefits of organic denuder
technology for long-term networks. (Brook)
•Develop methods to identify and quantify new organic
constituents. Figure out what is in the hump. NMR? (Zielinska)
•Develop methods to identify and quantify toxic components.
(J. McDonald)
•Further quantify chemicals in different thermal fractions.
(Zielinska)
•Quantify sensitivity of organic materials to environmental
variables of the blank, in passive and active sampler,
transportation, and storage.
Charles McDade, University of California-Davis, 3/14/03
Objectives are to:
1) identify the most common semi-volatile compounds present in organic
particles, the variability of particle composition in time and space, and their
physical properties related to evaporation and adsorption during the sampling
process;
2) develop scientifically-based goals for sampling conditions, sampler
temperature, and sample handling, designed to minimize artifacts due to
evaporation of semi-volatile particles or due to adsorption of organic gases.
The results of this project will help researchers to: 1) develop sampling and
sample handling procedures that are based on specific knowledge of aerosol
properties, not “best practice” as is common now;
3) minimize and better understand sampling artifacts.
The sampling of particulate organic carbon can be influenced by positive artifacts
(adsorption of organic gases by filters and collected particles) and by negative
artifacts (evaporative losses of semi-volatile particulate material). Chemical
speciation data will be vital to understanding the principal components of the typical
aerosol and, consequently, their evaporative and absorptive properties. To obtain
chemical speciation data will require special analytical lab studies beyond the routine
TOR analyses, which provide thermally-defined components of the aerosol but not
discrete chemical species. Once the main compounds are identified, a literature
evaluation of their likely evaporative and absorptive properties will be needed.
These findings can be tested by exposing filters to specific compounds (or groups or
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Research Strategies for the Sampling and Analysis of Organic and Elemental Carbon Fractions in
Atmospheric Aerosols: Recommendations from the OCEC International Workshop
classes of compounds) under a variety of sampling and storage conditions. Variables
should include sampler temperature, filter face velocity, sampling duration, time
spent in the sampler following sampling, shipping conditions (cold or ambient), and
storage conditions at the laboratory. The result will be a set of recommendations for
avoiding evaporative and adsorptive measurement artifacts.
Laboratory tests (and possible field work) will be required to expose filters to known
amounts of single compounds (or groups or classes of compounds) under a variety of
controlled conditions, and then to conduct the TOR analyses. This work could be
performed under the auspices of an existing network, such as STN or IMPROVE, or at
a university research lab. Potential sponsors include network operators (e.g.,
EPA/STN, NPS/EPA/IMPROVE) to provide recommendations on how to conduct their
sampling, and sampler manufacturers, who may see a need to alter their control of
sampler temperatures and flowrates.
Innovative Methods
•Develop instrumentation and procedures for Raman scattering
measurements. (Moosmuller)
•Develop and test in-situ continuous measurement systems.
(Cary)
•Add more specific detectors to thermal evolution analyses
(GC, MS, AED) (Fung).
SCHEDULE
•Summary of findings. Watson 3/7.
•Post PPTs on Website by 3/14 (T. Richard).
•Example Research Description. Chow will send example by 3/7.
•Send out requests for research descriptions (Richard-3/10). Ask for return by 3/17.
•Reminders, check progress, hold conference call, and send emails by 3/21.
•Application Descriptions 3/24.
•Package to topic leaders by 3/28.
•Return revisions by 4/14.
•Announce first draft availability 5/12.
Page 30 of 30
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