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On the use of anion exchange chromatography for the characterization of water soluble organic carbon
Author(s) -
Chang Hui,
Herckes Pierre,
Collett Jeffrey L.
Publication year - 2005
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2004gl021322
Subject(s) - aerosol , total organic carbon , ion chromatography , carbon fibers , chemistry , genetic algorithm , elution , organic compound , environmental chemistry , ion exchange , organic matter , characterization (materials science) , primary (astronomy) , ion , organic chemistry , chromatography , materials science , mathematics , nanotechnology , algorithm , physics , composite number , astronomy , evolutionary biology , biology
An increasingly popular anion exchange chromatography method [ Decesari et al. , 2000] was used to separate organic matter in fog samples and water soluble organic carbon (WSOC) extracted from aerosol samples according to acidity. Analysis of both fog and aerosol WSOC samples showed results similar to previous studies, with peaks typically identified as corresponding to neutral/basic compounds, mono‐ and dicarboxylic acids and polyacids. In one example this approach was shown to classify a total of 82% of the WSOC into these three chromatographic fractions. Challenges to the classification scheme were made by injection of single compound solutions. Compounds were chosen to be representative of compounds observed in atmospheric samples. In many cases test compounds eluted in fractions other than expected based on classifying compound structure according to the three classes outlined above. The impact of classification errors is impossible to quantify without understanding the complete organic speciation of a sample, but is serious enough that researchers relying on this method to provide a suitable model for organic aerosol composition should interpret results with caution. The most severe problems are likely for fog samples, due to a prevalence of low molecular weight carboxylic acid and carbonyl compounds which exhibit greater tendency to be misclassified.