Ann M. Dillner, Travis Ruthenburg. UC Davis. IMPROVE Steering Committee Meeting, 2011
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1 FT-IR: a promising method for checking consistency between Teflon and quartz channels and measuring OM on IMPROVE samples Ann M. Dillner, Travis Ruthenburg UC Davis IMPROVE Steering Committee Meeting, 2011
2 Consistency between IMPROVE sampling modules Consistency checks identify issues: Swaps of filter Sampling/handling problems Teflon and nylon modules comparison for sulfur and sulfate Teflon and quartz modules PESA on Teflon measures total hydrogen Subtract NH 4 assuming fully neutralized sulfate Makes Teflon filters brittle, sometimes tear Prefer non-destructive method does not require fully neutralized assumption
3 OM on IMPROVE samples Organic mass (OM) includes carbon, oxygen, hydrogen, nitrogen and sulfur OM used in estimating visibility from PM Current method for estimating OM OM = (Measured OC) X (OM/OC) OM/OC value applied to all samples in network IMPROVE currently using 1.8 (used to use 1.4) CSN proposing to use 1.4 Prefer method that measures OM or OM/OC on each filter rather than assuming an OM/OC
4 Fourier Transform Infrared (FT-IR) Spectroscopy Non-destructive Quantifies organic functional groups OC mass use for Teflon/quartz consistency checks Sum of functional groups = OM Calculate OM/OC per sample aliphatic C-H aromatic C-H carbonyl (C=O) alcohol (O-H) carboxylic acids organosulfate organonitrate amines
5 FT-IR - limitations Not organic compound specific (i.e., levoglucosan) No one has quantified graphitic carbon in particulate matter Interferants Teflon filter material Ammonium
6 FT-IR analysis of Teflon filters Russell et al., PNAS (2011)
7 Simple Proof of Concept Analysis - IMPROVE samples 1. Does analysis provide reasonable results for OC across range of IMPROVE samples? 2. Can interferants be accounted for successfully? 3. Do samples exhibit differences that show variability in OM/OC?
8 Method Analyzed 136 IMPROVE Teflon filters from three sites + 10 field blanks Identified functional groups in spectra Subtracted ammonium from O-H and C-H region of the spectra Used peaks areas for C=O and C-H functional groups and %C in group to estimate absorbance for OC and compare to TOR OC (C=O + C-H)/C-H surrogate for OM/OC
9 IMPROVE samples Three sites - OLYM, PMRF, SAMA (map) Spring, summer, fall, 2010 Sample data: goc ( g/m 3 ) 10 th %ile 99 th %ile in network Sulfate: g ( g/m 3 ) >90 th %ile EC/OC:
10
11 Example IR Spectra SAMA 11/19/2010
12 1. IMPROVE range FT-IR calibration will enable comparison of carbon masses
13 Consistency checking OC absorbance from FT-IR vs TOR OC OM from PESA vs OM from TOR FT-IR calibration will enable comparison of carbon masses OM from PESA = 13.75*(H-S/4)
14 2. Interferants ammonium, Teflon Ammonium absorbs in OH and CH region of spectra two methods to remove Teflon Subtract scaled ammonium sulfate spectra (Russell et al.) Include in calibration (Coury and Dillner) exclude region from calibration (Russell and Dillner groups) pre-scan Teflon and subtract from post-scan
15 3. Un-calibrated FT-IR proxy for OM/OC
16 Calibration method development to date Created di-carboxylic acid standards 5 acids of varying length Mixtures of acids Range of masses on filters Evaluated two calibration algorithms Peak area absorbance vs. mass Partial Least Squares Regression
17 FT-IR absorbance vs. mass by functional group Sebacic Acid 10 carbon dicarboxylic acid
18 Plans for coming year to further develop method Create more standards Functional groups Range of masses (low) Mixtures Evaluate/test algorithms Determine if pre-scan provides useful info. Analyze IMPROVE samples Impact of XRF on OC System for generating organic standards
19 Longer term plans Continue calibration method development Develop low cost auto-sampler for standards Test calibration method on: Laboratory generated filters well characterized lab-generated SOA samples Ambient samples Continue to analyze IMPROVE samples Compare to PESA and TOR
20 Feasibility of applying FT-IR analysis to network Automation of IMPROVE filter analysis Considered in current automation of XRF and weighing One instrument can handle all IMPROVE filters Automation/QC of data analysis To be developed after standards and algorithm established Possible new archiving method (cold?) Staff person to run samples/analyze data
21 Summary FT-IR analysis of Teflon filters useful for IMPROVE Consistency check with quartz channel OM/OC per filter Functional group information sources Non-destructive to Teflon filters Cost PESA Feasible to physically integrate into existing filter analyses at CNL
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