Time Resolved Pulsed Laser Photolysis Study of Pyrene Fluorescence Quenching by IAnion CHEM 457, Fall 2013 Submitted: September 10, 2013 Undergraduate Chemistry Department, The Pennsylvania State University Kristen Woznick Lab Partners: Tim Haggerty, Kelly Helfrich, Tim Haggerty, and Arjun Plakkat Abstract In this experiment, fluorescence decay using a laser photolysis technique was used to measure the rate constants for unimolecular decay of the pyrene’s first singlet state. This experiment allowed the relaxation rate of excited Pyrene to be observed due to both fluorescence and quenching. The quenching rate constant, kq, following a pseudo-first order reaction system had a value of (1.0 ± 0.4) x108 M-1s-1 due to the Iodine quencher. The rate constant for inherent unimolecular decay of pyrene was (3.9 ± 0.9) x106 s-1 due to spontaneous fluorescence decay. 1.0 Introduction Molecules differ in molecular properties in ground state versus excited state.3 When a molecule is in excited state, the excited electron is paired with an electron in the ground state orbital by opposite spin.4 Py + hν1ο *Py When the electron returns to the ground state, this is completed either through fluorescence, a highly sensitive technique, or radiationless decay; photons are emitted and undergo small vibrations thereby lowering the energy.3 *Pyο Py + hν2 (fluorescing) *Pyο Py + heat (radiationless decay) The intensity of the fluorescence is decreased through the quenching by another molecule, in this case Iodine.1 Through quenching, the relaxation time will be increased for the electron to transition from the excited to ground state. Pyrene is an alternant aromatic compound comprised of four benzene rings seen in Figure 1.5 Pyrene is a polycyclic aromatic hydrocarbon that is a product of the burning coal, oil, gas, or garbage.5 Figure 1. Pyrene When excited, Pyrene undergoes redox only in the company of a compound with lower reduction potential.3 Excited Pyrene reluctantly accepts electrons from and Iodine anion in order to reach the ground state and therefore forms a Pyrene anion and an Iodine radical through photo induced electron transfer reaction, an energetically favorable reaction.3 *Pyο Py- + I* This Iodine is our quenching concentration. In looking more specifically at the kinetics of this reaction, it is noticed that concentration of Iodine is greater than the concentration of excited Pyrene allowing the assumption to be made of pseudo first order reaction. Consequently, the concern in this experiment is the Pyrene of 4.79*10-7 M concentration. From this assumption, it is then possible to determine the rate constants for the decay of the excited Pyrene molecules, the fluorescence rate constant, and the quenching rate constant. 2.0 Experimental Method In reference to the CHEM 457 Experimental Physical Chemistry Lab Packet, Fall 2013, the following 0 mM, 10 mM, 20 mM, 30 mM, and 40 mM samples were prepared in 10 mL volumetric flasks through serial dilution. The stock solution, the 40 mM [KI] concentration, was made by transferring .1659 g ± 0.0004 g KI using the AE 100 Mettler Balance into the 10 mL ± .05 mL volumetric flask type B. Then the remaining volume in the volumetric flask was filled with 50% ethanol-water solution to dissolve the KI particles and then different amount were taken from the 40 mM and transferred to the 0 mM, 10 mM, 20 mM, and 30 mM solutions with a 1 mL ± .01 mL pipette. All samples were added with 2 mL of 100 μM pyrene in ethanol solution and then varying volumes of 50% water-ethanol solution to give the total 10 mL. These appropriate volumes can be seen in Table 1. Table 1. Sample Preparation with appropriate volumes of components Volume of 0.1 M Volume of 100 μM Volume of 50% pyrene in ethanol water-ethanol solution solution solution of KI + 50% Sample Number KI Concentration water-ethanol solution 1 0 mM 0 mL 2 ± .01 mL 8 ± .01 mL 2 10 mM 1 ± .01 mL 2 ± .01 mL 7 ± .01 mL 3 20 mM 2 ± .01 mL 2 ± .01 mL 6 ± .01 mL 4 30 mM 3 ± .01 mL 2 ± .01 mL 5 ± .01 mL 5 40 mM 4 ± .01 mL 2 ± .01 mL 4 ± .01 mL After sample preparation, the oxygen was removed from the samples through nitrogen purging for five minutes by inserting a needle into the sample containing cuvet with cap in order for bubbling to occur. The needle was cleaned with ethanol between the purging of the different samples due to contamination precaution due to the high sensitivity of the oscilloscope. Oxygen was required to be removed because this can also act as a quencher within the defined system of aromatic hydrocarbons. However, there was no precise manner to measure the oxygen content that could have leaked into the system. A suggestion for this is offered in the discussion. Figure 2. Laser Photolysis Setup In Figure 2, the first piece of equipment, the nitrogen pulsed laser, excited photons by emitting Ultraviolet light at a constant wavelength, 337.1 nm, emitting 2.883*1014 photons. This laser was emitted 5 different instances, one for each concentration of the samples. The samples in a cuvet were clamped in front of the laser. The pulse rate did not need to be adjusted since the cartridge was recently changed. The photons were collected using the semiconductor photodiode while the light below 375 nm was absorbed by the optical filter in order to prevent interference. This photovoltaic characteristic produced a voltage on the oscilloscope. Voltage is then proportional to the number of photons that underwent fluorescence. This experiment was only repeated once due to time limitations within the lab. Results/ Discussion Using the laser photolysis setup, the raw data contained the fluorescence intensity versus time data. In order to better see the graph, the time was converted to nanoseconds from the given seconds. This data was then best-fit with an exponential best-fit trend line using Microsoft Office Excel. In order to plot the exponential fit, the initial baseline and increase in the fluorescence curve values were deleted. This can be seen in Figure 3. Figure 3. Plot of fluorescence intensity (arb units) versus time (ns) from the raw experimental data taken from the oscilloscope best fitted with an exponential trend line. The k(observed values) can be seen as 0.003, 0.006, 0.007, 0.009, 0.008 ns-1 are seen for the 0, 10, 20, 30, 40, and 50 mM concentrations respectively. The 30 mM concentration [KI] sample has a steeper and faster exponential decay than compared to the 40 mM [KI] sample. This is in question and needs verified with possible error. The more concentrated [KI] solution should decay faster due to more quencher. In order to gain a better perspective, the natural logarithm of the intensity was plotted due to the greater accuracy within excel to fit data towards linear regression instead of exponential decay. Figure 4 was produced. In looking at this data, the natural logarithm of intensity versus time yields has a linear regression line with a slope that is equal to –ko. This data was truncated to reduce the noise in the data that occurred after some time as it can be seen that as the concentration increased the lifetime was shorter than the previous. Figure 4. Plot of the natural logarithm of intensity (arb units) versus time (ns) yields a line with a slope equal to – Ko(s-1) As can be seen, approximately 99% of the data correlates with the best-fit equations and linear regressions analysis located in the appendix. The appropriate ko values were seen and increased with the increased concentration of Iodine quencher. [I-] mM 0 10 20 30 40 kobs (s-1) 337.1x104 511.0x104 70.1x105 90.6x105 77.2x105 Standard error (s-1) 0.3x104 0.7x104 0.1x105 0.2x105 0.1x105 R2 0.9975 0.9973 0.9960 0.9966 0.9963 Table 2. Ko values correlated with appropriate [KI] concentrations. In using these observed K values, these were plotted against the [I-] concentration (mM) to determine the quenching rate constant, which is the slope of the best-fit line and yielding a y intercept of the ko value. Figure 5. K(observed) (ns-1) versus Iodine concentration (mM) to find the best-fit equation to determine value of quenching constant. The quenching rate constant is (1.0 ± 0.4) x108 M-1s-1 and the ko value is (3.9 ± 0.9) x106 s-1 for no Iodine quencher concentration. The ko value only accounts for fluorescence. This large quenching constant indicates that Iodine is a strong quenching agent. However, in looking at this best-fit line the experimental ko value should be 3.4x106 s-1 offering a disagreement since only approximately 79% of the data is within correlation. Therefore, possible error can be seen in doing the serial dilution in preparing the samples. The calculated uncertainty of the [KI] was determined. Table 3. The Determined and reported uncertainties for [KI] for each serial dilution with calculations located in the appendix. [KI] (mM) Calculated Concentration of [KI] (mol/L) -3 Standard Deviation (mol/L) ±0.7x10-3 40 99.9x10 30 30x10-3 ±1x10-3 20 2.0x10-3 ±0.5x10-3 10 10.0x10-3 ±0.1x10-3 0 0 - This uncertainty explains why the intensity of the 30 mM is greater than the 40 mM Iodine concentration as time advances. In doing the serial titration to make the 30 mM sample, 3 mL of solution was removed from the stock solution, 40 mM [I-]. Taking into account relative error of the pipetting and the volumetric flask, the [KI] concentration could have been 31 mM and the 40 mM [I-] sample could have been 99.2 mM. Yet, the 30 mM solution could have been more concentrated than the diluted 40 mM sample thereby having less [KI] concentration. Human is an error source in the pipetting technique by not adding enough or too much of the intended volume of the solution during the dilution technique. 3.0 Conclusion Overall, the inherent spontaneous decay of Pyrene provided a good interpretation of the unimolecular fluorescence decay showing the expected exponential best-fit data. Although the quenching rate constant and rate constant without quenching were calculated, difference in error between the 30 mM and 40 mM Iodine concentration samples resulted. This was explained due to the serial dilution technique in which the 40 mM [I-] acted as the stock solution. Repeat of experiments could have provided better statistical data and a more precise calculation for the needed rate constants. In order to improve the experiment, diverse quenchers could have been engaged in the experiment to further support the theory that was observed in the experiment in order to see the effects of quencher on the rate constants given different molecular properties. 4.0 Acknowledgements I would like to acknowledge my other laboratory group members: Tim Haggerty, Kelly Helfrich, and Arjun Plakkat for their effort and problem solving expertise through the experiment as well as the availability of Jennifer Tan to provide guidance in the data analysis. 5.0 References (1) “Fluorescence Quenching by Electron Transfer.” http://www.d.umn.edu/~psiders/courses/chem4643/labinstructions/etQuench.pdf (accessed September 7, 2013). (2) Lakowicz, Joseph R. 2006. Principles of Fluorescence Spectroscopy (3rd edition), pp 1-24. (3) Milosavljevic, B.H. Lab Packet for CHEM 457: Experimental Physical Chemistry, Time Resolved Pulsed Laser Photolysis Study of Pyrene Fluorescence Quenching by I- Anion. University Press: University Park, 2013. (4) “Photochemistry of Aromatic Molecules.” http://turroserver.chem.columbia.edu/courses/MMP_Chapter_Updates/MMP+Ch%2012 %20050704.pdf (September 7, 2013). (5) “Pyrene.” http://www.epa.gov/osw/hazard/wastemin/minimize/factshts/pyrene.pdf (September 7, 2013). 6.0 Appendix Photons in the laser pulse of 170 μJ: π −34 π½ ∗ π )(3.00 × 108 π ) βπ (6.626 × 10 πΈ= = = 5.9 × 10−19 π½ π 337.1 × 10−9 π 170 × 10−6 π½ × 1 πβππ‘ππ = 2.9 × 1014 πβππ‘πππ 5.9 × 10−19 π½ Concentration of excited photons: πΆ= π 2.883 × 1014 πβππ‘πππ 1 ππππ = × = 4.79 × 10−7 π π 0.001 πΏππ‘πππ 6.02 × 1023 πβππ‘πππ Calculation to determine amount of KI needed to prepare 10 mL of 0.1 M solution . 1 πππππ 1 πΏππ‘ππ 166.0277π πΎπΌ × 10 ππΏ × × = .1660 π πΎπΌ πΏππ‘ππ 1000 ππΏ πππ Uncertainty for [KI] for 40 mM solution: Concentration: 1 πππ π (0.1659 π)(166.0277 π ) πππ πΆ= = = 9.992 × 10−2 = 99.9 × 10−3 π = 99.9 ππ 1 πΏ π πΏ (10 ππΏ)( ) 1000 ππΏ Relative error: (πππππππ) + (π£πππ’πππ‘πππ ππππ π) = 0.0004 π 0.00005πΏ + = (7.411 × 10−3 )(πΆ) . 1659 π 0.01 πΏ = 0.7 × 10−3 π = 0.7 ππ Uncertainty: 99.9 ππ ± 0.7 ππ Uncertainty for [KI] for 30 mM solution: Concentration: 1πΏ −2 π (3 ππΏ × 1000 ππΏ)(9.99 ∗ 10 πΆ= = 1πΏ π (10 ππΏ)( ) πππ πΏ ) = 30.0 × 10−3 π = 30.0 ππ 1000 ππΏ Relative error: (3 × πππππ‘π‘π) + (π£πππ’πππ‘πππ ππππ π) = . 00001 πΏ . 00001 πΏ . 00001 πΏ 0.00005 πΏ + + + 0.001 πΏ 0.001 πΏ 0.001 πΏ 0.01 πΏ = (3.500 × 10−2 )(πΆ) = 1 × 10−3 π = 1 ππ Uncertainty: 30 ππ ± 1 ππ Uncertainty for [KI] for 20 mM solution: Concentration: 1πΏ −2 π (2 ππΏ × 1000 ππΏ)(9.99 ∗ 10 πΆ= = 1πΏ π (10 ππΏ)( ) πππ πΏ ) = 2.0 × 10−2 π = 2.0 ππ 1000 ππΏ Relative error: (2 × πππππ‘π‘π) + (π£πππ’πππ‘πππ ππππ π) = . 00001 πΏ . 00001 πΏ 0.00005 πΏ + + 0.001 πΏ 0.001 πΏ 0.01 πΏ = (2.500 × 10−2 )(πΆ) = 0.5 × 10−3 π = 0.5 ππ Uncertainty: 2.0 ππ ± 0.5 ππ Uncertainty for [KI] for 10 mM solution: Concentration: 1πΏ −2 π (1 ππΏ × 1000 ππΏ)(9.99 ∗ 10 πΆ= = 1πΏ π (10 ππΏ)( ) πππ πΏ ) = 10.0 × 10−3 π = 10.0 ππ 1000 ππΏ Relative error: (1 × πππππ‘π‘π) + (π£πππ’πππ‘πππ ππππ π) = . 00001 πΏ 0.00005 πΏ + = (1.500 × 10−2 )(πΆ) 0.001 πΏ 0.01 πΏ = .1 × 10−3 π = 0.1 ππ Uncertainty: 10.0 ππ ± 0.1 ππ Linear regression analysis of kq for 0 mM [I-]: Linear regression analysis of kq for 10 mM [I-]: Linear regression analysis of kq for 20 mM [I-]: Linear regression analysis of kq for 30 mM [I-]: Linear regressions analysis of kq for 40 mM [I-]: Linear Regressions analysis for kq and ko: