Automatic time-shift alignment method for chromatographic data analysis

Abstract Time shift among samples remains a significant challenge in data analysis, such as quality control of natural plant extracts and metabolic profiling analysis, because this phenomenon may lead to invalid conclusions. In this work, we propose a new time shift alignment method, namely, automat...

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Main Authors: Qing-Xia Zheng, Hai-Yan Fu, He-Dong Li, Bing Wang, Cui-Hua Peng, Sheng Wang, Jun-Lan Cai, Shao-Feng Liu, Xiao-Bing Zhang, Yong-Jie Yu
Format: Article
Language:English
Published: Nature Portfolio 2017-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-00390-7
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author Qing-Xia Zheng
Hai-Yan Fu
He-Dong Li
Bing Wang
Cui-Hua Peng
Sheng Wang
Jun-Lan Cai
Shao-Feng Liu
Xiao-Bing Zhang
Yong-Jie Yu
author_facet Qing-Xia Zheng
Hai-Yan Fu
He-Dong Li
Bing Wang
Cui-Hua Peng
Sheng Wang
Jun-Lan Cai
Shao-Feng Liu
Xiao-Bing Zhang
Yong-Jie Yu
author_sort Qing-Xia Zheng
collection DOAJ
description Abstract Time shift among samples remains a significant challenge in data analysis, such as quality control of natural plant extracts and metabolic profiling analysis, because this phenomenon may lead to invalid conclusions. In this work, we propose a new time shift alignment method, namely, automatic time-shift alignment (ATSA), for complicated chromatographic data analysis. This technique comprised the following alignment stages: (1) automatic baseline correction and peak detection stage for providing useful chromatographic information; (2) preliminary alignment stage through adaptive segment partition to correct alignment for the entire chromatogram; and (3) precise alignment stage based on test chromatographic peak information to accurately align time shift. In ATSA, the chromatographic peak information of both reference and test samples can be completely employed for time-shift alignment to determine segment boundaries and avoid loss of information. ATSA was used to analyze a complicated chromatographic dataset. The obtained correlation coefficients among samples and data analysis efficiency indicated that the influences of time shift can be considerably reduced by ATSA; thus accurate conclusion could be obtained.
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spelling doaj.art-1a28e3286a0b4e72ad45e9c7c66e70dd2022-12-21T22:58:18ZengNature PortfolioScientific Reports2045-23222017-03-017111110.1038/s41598-017-00390-7Automatic time-shift alignment method for chromatographic data analysisQing-Xia Zheng0Hai-Yan Fu1He-Dong Li2Bing Wang3Cui-Hua Peng4Sheng Wang5Jun-Lan Cai6Shao-Feng Liu7Xiao-Bing Zhang8Yong-Jie Yu9Zhengzhou Tobacco Research Institute of CNTCSchool of Pharmaceutical Sciences, South-Central University for NationalitiesSchool of Pharmaceutical Sciences, South-Central University for NationalitiesZhengzhou Tobacco Research Institute of CNTCZhengzhou Tobacco Research Institute of CNTCZhengzhou Tobacco Research Institute of CNTCZhengzhou Tobacco Research Institute of CNTCZhengzhou Tobacco Research Institute of CNTCZhengzhou Tobacco Research Institute of CNTCZhengzhou Tobacco Research Institute of CNTCAbstract Time shift among samples remains a significant challenge in data analysis, such as quality control of natural plant extracts and metabolic profiling analysis, because this phenomenon may lead to invalid conclusions. In this work, we propose a new time shift alignment method, namely, automatic time-shift alignment (ATSA), for complicated chromatographic data analysis. This technique comprised the following alignment stages: (1) automatic baseline correction and peak detection stage for providing useful chromatographic information; (2) preliminary alignment stage through adaptive segment partition to correct alignment for the entire chromatogram; and (3) precise alignment stage based on test chromatographic peak information to accurately align time shift. In ATSA, the chromatographic peak information of both reference and test samples can be completely employed for time-shift alignment to determine segment boundaries and avoid loss of information. ATSA was used to analyze a complicated chromatographic dataset. The obtained correlation coefficients among samples and data analysis efficiency indicated that the influences of time shift can be considerably reduced by ATSA; thus accurate conclusion could be obtained.https://doi.org/10.1038/s41598-017-00390-7
spellingShingle Qing-Xia Zheng
Hai-Yan Fu
He-Dong Li
Bing Wang
Cui-Hua Peng
Sheng Wang
Jun-Lan Cai
Shao-Feng Liu
Xiao-Bing Zhang
Yong-Jie Yu
Automatic time-shift alignment method for chromatographic data analysis
Scientific Reports
title Automatic time-shift alignment method for chromatographic data analysis
title_full Automatic time-shift alignment method for chromatographic data analysis
title_fullStr Automatic time-shift alignment method for chromatographic data analysis
title_full_unstemmed Automatic time-shift alignment method for chromatographic data analysis
title_short Automatic time-shift alignment method for chromatographic data analysis
title_sort automatic time shift alignment method for chromatographic data analysis
url https://doi.org/10.1038/s41598-017-00390-7
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