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Comparison of three second-order multivariate calibration methods for the rapid identification and quantitative analysis of tea polyphenols in Chinese teas using high-performance liquid chromatography.
J Chromatogr A. 2020 May 10; 1618:460905.JC

Abstract

Retention time shifts in second-order calibration-assisted chromatographic analysis seriously impact the modeling and quantitative accuracies in complex systems. In this work, three second-order methods, i.e. alternating trilinear decomposition (ATLD) algorithm, multivariate curve resolution-alternating least squares (MCR-ALS), alternating trilinear decomposition-assisted multivariate curve resolution (ATLD-MCR), were compared their performance to process liquid chromatographic data in the presence of retention time shifts and overlapped peaks. Firstly, the validation samples contain five tea polyphenols at three concentrate levels within the calibration ranges, helped to understand, visualize and interpret these features of three second-order multivariate methods. Secondly, experimental data were studied concerning the determination of polyphenols in Chinese tea samples by HPLC-DAD. The results showed that all three second-order multivariate methods realized satisfactory quantification for five targeted analytes in Pu-Er ripe tea samples and Green tea samples even with the interference of slight retention time shifts, average recoveries were 91.23% -113.16% for ATLD, 89.96%-115.96% for ATLD-MCR, 90.64%-117.60% for MCR-ALS, respectively. However, ATLD was disappointing in the case of larger time shifts (approx. 4.00 s and 6.40 s) occurring for the quantitative analysis of Black tea and Clinacanthus nutans tea, the average recoveries were just 67.33-84.05%. Relatively, MCR-ALS and ATLD-MCR were more significantly excellent, satisfactory results still can be obtained, the average recoveries for MCR-ALS and ATLD-MCR were in the range of 86.04-117.60% and 89.96-115.96%, respectively.

Authors+Show Affiliations

Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China. Electronic address: 12016020@xcu.edu.cn.Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China.State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products/Institute of Quality and Standards for Agricultural Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, PR China. Electronic address: liuzhi19880122@126.com.Hunan Provincial Key Laboratory of Dark Tea and Jin-hua, College of Materials and Chemical Engineering, Hunan City University, Yiyang, 413049, PR China.Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China.Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China.Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China.

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

32008825

Citation

Zhang, Xiao-Hua, et al. "Comparison of Three Second-order Multivariate Calibration Methods for the Rapid Identification and Quantitative Analysis of Tea Polyphenols in Chinese Teas Using High-performance Liquid Chromatography." Journal of Chromatography. A, vol. 1618, 2020, p. 460905.
Zhang XH, Zhou Q, Liu Z, et al. Comparison of three second-order multivariate calibration methods for the rapid identification and quantitative analysis of tea polyphenols in Chinese teas using high-performance liquid chromatography. J Chromatogr A. 2020;1618:460905.
Zhang, X. H., Zhou, Q., Liu, Z., Qing, X. D., Zheng, J. J., Mu, S. T., & Liu, P. H. (2020). Comparison of three second-order multivariate calibration methods for the rapid identification and quantitative analysis of tea polyphenols in Chinese teas using high-performance liquid chromatography. Journal of Chromatography. A, 1618, 460905. https://doi.org/10.1016/j.chroma.2020.460905
Zhang XH, et al. Comparison of Three Second-order Multivariate Calibration Methods for the Rapid Identification and Quantitative Analysis of Tea Polyphenols in Chinese Teas Using High-performance Liquid Chromatography. J Chromatogr A. 2020 May 10;1618:460905. PubMed PMID: 32008825.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparison of three second-order multivariate calibration methods for the rapid identification and quantitative analysis of tea polyphenols in Chinese teas using high-performance liquid chromatography. AU - Zhang,Xiao-Hua, AU - Zhou,Qian, AU - Liu,Zhi, AU - Qing,Xiang-Dong, AU - Zheng,Jing-Jing, AU - Mu,Shu-Ting, AU - Liu,Pan-Hua, Y1 - 2020/01/21/ PY - 2019/11/24/received PY - 2020/01/09/revised PY - 2020/01/20/accepted PY - 2020/2/6/pubmed PY - 2020/7/1/medline PY - 2020/2/4/entrez KW - Analysis of tea polyphenols KW - HPLC-DAD KW - Second-order advantage KW - Second-order multivariate methods KW - Time drift calibration SP - 460905 EP - 460905 JF - Journal of chromatography. A JO - J Chromatogr A VL - 1618 N2 - Retention time shifts in second-order calibration-assisted chromatographic analysis seriously impact the modeling and quantitative accuracies in complex systems. In this work, three second-order methods, i.e. alternating trilinear decomposition (ATLD) algorithm, multivariate curve resolution-alternating least squares (MCR-ALS), alternating trilinear decomposition-assisted multivariate curve resolution (ATLD-MCR), were compared their performance to process liquid chromatographic data in the presence of retention time shifts and overlapped peaks. Firstly, the validation samples contain five tea polyphenols at three concentrate levels within the calibration ranges, helped to understand, visualize and interpret these features of three second-order multivariate methods. Secondly, experimental data were studied concerning the determination of polyphenols in Chinese tea samples by HPLC-DAD. The results showed that all three second-order multivariate methods realized satisfactory quantification for five targeted analytes in Pu-Er ripe tea samples and Green tea samples even with the interference of slight retention time shifts, average recoveries were 91.23% -113.16% for ATLD, 89.96%-115.96% for ATLD-MCR, 90.64%-117.60% for MCR-ALS, respectively. However, ATLD was disappointing in the case of larger time shifts (approx. 4.00 s and 6.40 s) occurring for the quantitative analysis of Black tea and Clinacanthus nutans tea, the average recoveries were just 67.33-84.05%. Relatively, MCR-ALS and ATLD-MCR were more significantly excellent, satisfactory results still can be obtained, the average recoveries for MCR-ALS and ATLD-MCR were in the range of 86.04-117.60% and 89.96-115.96%, respectively. SN - 1873-3778 UR - https://www.unboundmedicine.com/medline/citation/32008825/Comparison_of_three_second_order_multivariate_calibration_methods_for_the_rapid_identification_and_quantitative_analysis_of_tea_polyphenols_in_Chinese_teas_using_high_performance_liquid_chromatography_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0021-9673(20)30082-0 DB - PRIME DP - Unbound Medicine ER -