Development of an early warning sensor for assessing deterioration of organic materials indoor in museums, historic buildings and archives Elin Dahlin* and Terje Grøntoft* Norwegian Institute for Air Research P O Box 100 NO-2027 Kjeller Norway Tel.: + 47 63898000 Fax: +47 63898050 E-mail: elin.dahlin@nilu.no; terje.grontoft@nilu.no Web-site: www.nilu.no Sara Rentmeister Albert-Ludwigs Universität Freiburg Freiburger Materialforschungszentrum der Albert-Ludwigs-Universität Stefan-Meier Strasse 21 DE-79104 Freiburg Germany E-mail: sara.rentmeister@fmf.uni-freiburg.de Christopher Calnan The National Trust Ickworth Regional Office Ickworth Estate IP29 5QE Suffolk United Kingdom E-mail: christopher.calnan@nationaltrust.org.uk Janusz Czop National Museum in Krakow Al. 3 Maja 1 PL-30-062 Krakow Poland E-mail: janusz_czop@muz-nar.krakow.pl Kathryn Hallett and David Howell Historic Royal Palaces Conservation and Collections Care Hampton Court Palace Surrey KT8 9AU United Kingdom E-mail: kathryn.hallett@hrp.org.uk Christoph Pitzen The Consulting and Support Centre for the Museums of Baden-Württemberg Schloßstrasse 96 DE-70176 Stuttgart Germany E-mail: pitzen@landesstelle.de Anne Sommer Larsen Trøndelag Folk Museum Riiser Larsens vei 16 NO-7020 Trondheim Norway E-mail: anne.sommer-larsen@sverresborg.no *Authors to whom correspondence should be addressed Abstract Results from laboratory and field testing of an early warning (EWO) sensor developed in the EUfunded MASTER project (EVK-CT-2002- 00093) are discussed. Laboratory testing shows a clear response to low concentrations of the single contaminant gases NO2, O3 and SO2. In a comprehensive European field test programme a corresponding effect to that seen in the laboratory was observed for indoor NO2. The main aim of the MASTER project is to develop a preventive conservation strategy including an early warning system, with an EWO sensor, for protection of organic objects in museums, historic buildings and archives. Keywords MASTER, preventive conservation, early warning sensor, museums, organic objects, nitrogen dioxide Introduction In museums, historic buildings and archives all over the world, organic objects such as fibre materials are being affected either by display or by storage conditions. Unsuitable environmental conditions are a serious cause of decay. The key to the survival of these objects is achieving an acceptable indoor environment. Vital to this is a sustainable management of the cultural property including better preventive conservation strategies (Dahlin 2003). On this background an EUfunded project with the acronym MASTER started in February 2003. The project will last for 36 months. The MASTER project aims to provide conservators in museums, historic buildings and archives with a new preventive conservation strategy for the protection of cultural property, based on an early warning system that assesses the environmental impact on organic objects. An important part of the early warning system is the development of an effect sensor for organic materials (EWO sensor). A novel polymer is being researched as a potential generic EWO sensor, namely a sensor that will respond to the range of environmental parameters implicated in the chemical deterioration of organic materials. Certain polymer films are known to deteriorate chemically and photochemically owing to environmental stress and light. They do so at a rate appropriate for a sensor. Measurable deterioration appears after a few weeks’ exposure in typical environments. Three months were chosen as the exposure time. This is sufficiently long to give a good estimate of the quality of the long-term environment objects are exposed to. The chemical deterioration of certain polymers has been shown to be detectable by simple techniques such as uv-visible spectrometry. The EWO sensor prototype is manufactured by spin coating the polymer onto a glass substrate. The three pollutant gases investigated in this work, SO2, O3 and NO2, all have known deteriorating effects on organic materials (Blades et al. 2000). It is therefore important to monitor their concentration levels. However, the real effect of the gases depends on their actual rate of deposition, and consequently on the accumulated mass of deposited gas, on the art object surface over time. The deposition rate depends on the reactivity of the material surface towards the contaminant, which again is influenced by air humidity, temperature and duration of exposure. To assess the real effect of the pollutants on art objects it is then not sufficient to measure their concentrations in the air. Rather, one needs some kind of measure of the actual reaction between the art object and the contaminant. Sensors that emulate the reaction between art objects and the contaminants and which give a measurable effect response can be used for this purpose. The EWO sensor, which is now being tested in the MASTER project, has been developed to give such a response. Theoretical Indoor concentrations of gases from outdoor sources are generally lower than outdoor concentrations because of dry deposition to surfaces (see, for example, Liu and Nazaroff 2001, Grøntoft and Raychauduhri 2004, Weschler 2000, Brimblecombe 1990) and homogeneous reactions (Seinfeld and Pandis 1998, Weschler and Shields 1997). The reactions involving NO2 and O3 generally decrease the indoor concentrations of these gases except in conditions with light outdoor conditions and considerable amounts of NO present. This would typically be the case in the summer in towns with much traffic and NO emissions. The balance for the reaction, then moves more towards the left side indoors in relative darkness compared with the outdoor situation with more NO and O3 present. As a result more NO2 could be present indoors than outdoors despite indoor deposition of NO2. Methods of study: experimental Laboratory test To calibrate the EWO sensors a test system for realistic indoor pollutant gas concentrations was set up in a climate chamber. To stimulate real indoor conditions the sensors are exposed to different concentrations of the gases O3, NO2 and SO2, and to various humidity levels, with a constant temperature of 22 °C, for periods of 4 weeks. This exposure programme is continuing. Field test On 1 March 2004 exposure of the EWO-sensors started in a field test programme in 10 different European museums and historical buildings (Table 1). Table 1. The ten museums and historic buildings participating in the field test programme The field test programme will run for one year. To obtain a classification system for the risk of damage on cultural objects made of organic materials, the field test sites selected have different environments from low to severe aggressiveness. In each of the five regions one more rural site with low and one more urban site with higher pollutant levels were selected to obtain the variations needed. For each museum, one location inside a showcase with paralel measurements outside the showcase in the exhibition area and a third location outdoor were selected. For all three locations the gases O3, NO2, and SO2 are monitored by use of passive gas samplers and in addition organic acids are monitored inside the showcases. Light is the only environmental factor controlled for in the field test, as it was known from preliminary tests that the sensors had a comparable light sensitivity as that to the contaminant gases. Parallel samples are exposed shielded from light and fully exposed to the light on each test location. This makes it possible to study the light effect separately. In both the laboratory test and in the field test the effect on the sensor polymer was measured with a spectrophotometer as increased light absorption after exposure to the environmental contaminants. Results Concentration measurements The main results from the SO2, O3 and NO2 concentration measurements for the outdoor and two indoor locations for the months March to May 2004 are shown. Figure 1 shows the SO2 concentration measurement results from Krakow (urban) and Zakopane (rural) in the Polish region as a mean of two paralel samplers for the three months. The negative result seen for the indoor location in Krakow in March is due to subtraction of a mean blanc measurement of 0.3 μg/m3. In general, over all the sites, indoor concentrations were slightly above the detection limit where as concentrations in the showcases were on the detection limit. Figure 2 shows typical O3 concentrations indoor and outdoor for the rural (r) and urban (u) sites in four regions, Norway, England, Germany and Poland for May 2004. Figure 3 shows the measured outdoor and indoor NO2 concentrations for the three months on the sites in the two regions, Germany and England, with the highest outdoor NO2 concentrations. Figure1. Outdoor concentrations divided by 10, indoor and showcase SO2 concentrations measured from March to May 2004 at one urban location, Krakow, and one rural location, Zakopane, in the Polish region Figure 2. Outdoor, indoor and showcase O3 concentrations measured during May 2004 for rural and urban museum sites in four regions: Norway, England, Germany and Poland Figure 3. Outdoor, indoor and showcase NO2 concentrations from March to May 2004 for the museum sites in the two regions, Germany and England, with the highest measured outdoor NO2 concentrations Figure 4. Effect measured on EWO sensor after laboratory exposure to contaminant gases for 4 weeks under controlled conditions at T = 22 °C and RH = 45 per cent. NO2 and O3 were mixed in equal concentrations Effects on the EWO sensor Laboratory tests The organic polymer used shows a response to the three gases, in the concentration range 0–100 parts per billion (ppb) ordinary found in indoor air. Figures 4 and 5 show the experimental change in light absorption of the sensor film after exposure to NO2, O3 and SO2 separately and to equal concentrations of NO2 and O3 combined at air humidity levels of 45 per cent and 70 per cent. Field test Negative inter-correlations between the independent parameters could hide real effects in simple correlations of single parameters with sensor response. The only correlation observed between the measured gas concentrations was a negative one between NO2 and organic acids, acetic acid plus formic acid, in the showcases. In the outdoor location with climate exposure and strong light, no statistical correlations were observed between gas concentrations and sensor response. The climate conditions in the laboratory closely resembled those indoors in the museums. The mean indoor air humidity in the museums for March, April and May 2004 was 47 per cent, varying from 43 to 51 per cent. The mean indoor temperature in the museums for the three months was 18.8 °C, varying from 17.4 to 20.3 °C. Light levels indoors in the museums were low. Figure 5. Effect measured on EWO sensor after laboratory exposure to contaminant gases for 4 weeks under controlled conditions at T = 22 °C and RH = 75 per cent Figure 6. Correlation between indoor NO2 concentrations and EWO sensor response for the 3 months, March to May 2004, for all ten test sites with a linear regression trend line and its data. The figure also shows the experimental laboratory response No correlation was observed between the low indoor SO2 concentrations and sensor response. Plots of O3 concentration (0–20 μg/m3) against sensor response showed a large spread but no correlation. Both in the museum exhibition rooms and in the showcases a clear positive close to linear correlation was observed between NO2 concentration (0–40 μg/m3) and sensor response. Figure 6 shows the correlation between NO2 and sensor response for March, April and May 2004, with a linear regression trend line and its data. The figure also shows the experimental laboratory results transferred from Figures 4 and 5. Time response The sensors showed a reduced reaction rate with time both in the laboratory and in the field. After three months field exposure this reduction was considerable for the site with the highest NO2 concentrations but small for the other sites. Discussion Concentration measurements The SO2 measurements showed an outdoor concentration maximum in March for Krakow (Figure 1), the most polluted urban site in the five regions. Generally the urban sites showed higher SO2 concentrations than the rural sites in each region and the outdoor concentrations decreased from March to April to May. Indoor SO2 concentrations were much lower than outdoor concentrations. O3 showed a large concentration decrease from outdoors to indoors (Figure 2). Generally higher concentrations were measured in the rural sites and there was little change in concentrations from March to May. The NO2 measurements showed a concentration maximum in May for Stuttgart (Figure 3). NO2 showed a general concentration decrease from outdoor to indoor, but it was much smaller than for SO2 and O3. The most polluted urban locations showed a considerable effect of Equation (1). This effect increased from March to May with increased light intensity, which outdoor moves Equation (1) towards the right and indoor towards the left side. The negative correlation observed between NO2, infiltrating into the showcase, and organic acid, with its’ source in the showcase, was probably caused by their opposite dependence on the air exchange rate in the showcases. Laboratory- and field-tests After exposure for 3 months the field test showed one clear simple statistical correlation between single independent environmental parameters and sensor effect. This was the indoor effect of NO2, of similar magnitude as that observed in the laboratory (Figure 6). The relative indoor air humidity (43–51 per cent) and concentrations of SO2 were so low that any effect of SO2 would be difficult to detect. No effect was observed for O3 even if a clear effect similar to that observed for NO2 was seen in the laboratory (Figures 4 and 5). In the field there was a mixture of NO2 (0–40 μg/m3) and O3 (0–20 μg/m3). In Figure 6 the effect in the field is seen to be very close to the effect of pure NO2 at RH = 45 per cent in the laboratory. The laboratory effect of NO2 at RH = 70 per cent was somewhat higher while the combined effect of NO2 + O3 was somewhat lower. To ascertain this decrease in the reaction rate with mixed gases (Figures 4 and 5), rather than any synergism, one would, however, need more parallel measurements. In the field test the NO2 concentration seemed to determine the effect on the sensor and overrule any effect of O3. The surface deposition reactions of NO2 without and in the presence of O3 are probably different. Without O3 present NO2 is known to react with water on surfaces to give HNO2 and HNO3 according to (Weschler and Shields 2000, Seinfeld 1998): With O3 present NO2 is known to give nitrate radicals that in relative darkness indoor could go on to give HNO3 according to (Weschler and Shields 2000): where S is the material surface. It may be that O3 and the reaction products of the two reactions (2) and (3)–(4) have a similar ability to oxidize the sensorpolymer. If so, O3 could be consumed in reaction (3)-(4) before it could oxidize the polymer and the oxidation rate of the polymer by NO2 would be similar independently of the path, Equations (2) or (3)–(4), of the reaction. From the laboratory results one would expect an effect of O3 on the sensors when NO2 is low compared with the O3 concentration. However, because of larger deposition velocities indoor O3 are often lower than NO2 concentrations, even if outdoor O3 concentrations are considerably higher (Figures 2 and 3). More experiments would be needed to understand the combined effect and total reaction mechanism of mixtures of NO2 and O3. The aim with the EWO sensor is that it should give a response indicative of the response on the organic art objects in atmospheres of different aggressiveness. Thus one will have to calibrate the sensor response against the effect of the air environment observed on real museum objects. Some studies (Brimblecombe 1996, Blades 2003) that could be used in calibration have been performed. By comparison with effects described in such studies the sensor could be used to evaluate the aggressiveness of the air environment against single materials. Levels of sensor response would then determine different expected states of material conservation (or deterioration) with time. As work on understanding material deterioration goes on in the field the new knowledge could be incorporated as an extended list of materials that could be compared with the sensor response. Museums often contain lots of different materials in integrated exhibits. An alternative to the material specific approach could be to determine levels of sensor response that would generally be acceptable (unacceptable) to collections including organic objects. This approach is not contrary to the first approach. It may, however, be more immediately applicable for collections at large. One could then include more general knowledge and standards when determining threshold levels. In this regard it is interesting to see the determining influence of the NO2 concentration on the sensor response. Assuming that the effect of a mixture of NO2 and O3 on the EWO sensor is that seen in the laboratory and discussed in relation to Equations (2) and (3)–(4), and that indoor NO2 in most instances are higher or equal to O3 concentrations one could, at least as a starting point, calibrate the sensor in relation to the observed NO2 effect, using NO2 as an indicator for the total environment. One would then assume that the general effect of SO2 and the organic acids on the EWO sensor compared with that on the real organic objects is similar as that of NO2. This assumption needs further investigation. One may well find that there is not a one-to-one relationship between the NO2 and the acid effect. Deviations for SO2 may be less important as long as concentration levels are low (Figure 1). Another concern is high concentrations of organic acids in enclosed spaces such as showcases with emitting sources. Investigations will be performed in the MASTER project to study the effect of the organic acids on the EWO sensor. As one would not be able to determine the separate effects of NO2 and the acids from the response of the generic EWO sensor it may be wise to use the component with the overall most severe effect to determine ‘worst case thresholds’. One would then be on the conservative side in not underestimating the risk. If a severe risk was discovered using the sensor more comprehensive studies could be performed to determine the separate deteriorating influences in the environment. Conclusion The EWO sensors developed in the EU MASTER project show a clear response to low concentrations of the single indoor contaminant gases, NO2, O3 and SO2, in the laboratory. In an ongoing comprehensive European field test programme a corresponding effect to that seen in the laboratory was observed for NO2. Real indoor SO2 concentrations are so low that effects were difficult to study. With more or equal amounts of indoor NO2 compared with O3, which was the situation observed indoors in most cases, the effect on the sensor depended on NO2 alone. This opens the possibility to calibrate the generic effect on the sensor against the effect on real organic museum objects using the effect of NO2 as an indicator of the effect of total environment. One should then do more research on the magnitude of the relative effect of NO2, O3 in mixtures with NO2, SO2 and especially organic acids on the sensor compared with that on real museum objects. Acknowledgements We thank the museums and especially the technicians and the conservators who performed the practical work with the laboratory and field tests. This work was funded by the European Commission as a part of the 5th FP, Key Action: Cultural Heritage and City of Tomorrow and also by a substantial grant from the Norwegian Archive, Library and Museum Authority. References Blades, N, Oreszczyn, T, Bordass, B and Cassar, M, 2000, ‘Guidelines on pollution control in museum buildings’, published by the Museums Association and distributed with Museum Practice 15, November, London. Blades, N, 2003, ‘Work in the EU MASTER project’, personal communication. Brimblecombe, P, 1990, ‘The composition of museum atmospheres’, Atmospheric Environment 24B (1), 1–8. 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