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Nonlinear alignment of chromatograms by means of moving window fast Fourier transfrom cross‐correlation
Authors:Zhong Li  Jia‐Jun Wang  Jing Huang  Zhi‐Min Zhang  Hong‐Mei Lu  Yi‐Bao Zheng  De‐Jian Zhan  Yi‐Zeng Liang
Affiliation:1. Yunnan Academy of Tobacco Science, , Kunming, P. R. China;2. Hongyunhonghe Tobacco (Group) Co., Ltd., , Kunming, P. R. China;3. College of Chemistry and Chemical Engineering, Central South University, , Changsha, P. R. China;4. College of Chemistry and Chemical Engineering, Research Center of Modernization of Chinese Medicines, Central South University, , Changsha, P. R. China
Abstract:The preprocessing of chromatograms is essential to modern chromatography for further qualitative and quantitative analysis, especially when chromatographic instruments are used for herb products analysis involving large number of samples. To accurately compare and analyze the obtained chromatograms, it is necessary to preprocess, especially align retention time shifts. Here moving window fast Fourier transform (FFT) cross‐correlation is introduced to perform nonlinear alignment of high‐throughput chromatograms. Since elution characteristics of chromatograms will produce local similarity in retention time shifts, moving window procedure seems to be a better substitute of segmentation steps. The retention time shifts can be calculated and accelerated by FFT cross‐correlation. The artifacts can be detected and eliminated from the retention time shifts profile since the continuity of moving window procedure. The proposed method is demonstrated in comparison with recursive alignment by FFT on chromatographic datasets from herb products analysis. It is shown that the proposed method can address nonlinear retention time shift problem in chromatograms with the simple moving window procedure, which will not introduce segments size optimization problem. In additional, the parameters are intuitive and easy to adjust, which makes it off‐the‐shelf toolbox for alignment of chromatograms.
Keywords:Alignment  Cross‐correlation  Fast Fourier transform  Moving window
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