AUTOMATIC BLOB FITTING IN COMPREHENSIVE TWO-DIMENSIONAL GAS CHROMATOGRAPHY IMAGES

Abstract

Two-dimensional gas chromatography is a recent technology which is particularly efficient for detailed molecular analysis. However, due to the novelty of the method and the lack of automated analysis tools, quantitative data processing is often performed manually. Hence, results are strongly user-dependent, time consuming and, consequently, relatively inaccurate In this paper, we extend conventional techniques for signal analysis by utilizing specific characteristics of chromatographic data and by developing new methods for estimating the quantitative contribution of chemical regions from the produced images. Data-driven information is retrieved from chemical quantitative analysis based on Savitzky-Golay automatic peaks location determination, which increases both the processing speed and the analysis efficiency and improves our confidence in experimental repeatability. 1