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Akademický článek

Pharmacokinetic Analysis of Four Bioactive Iridoid and Secoiridoid Glycoside Components of Radix Gentianae Macrophyllae and Their Synergistic Excretion by HPLC-DAD Combined with Second-Order Calibration

Autor: Tian-Ming Yang, Yang-Xi Liu, Hai-Yan Fu, Wei Lan, Han-Bo Su, He-Bin Tang, Qiao-Bo Yin, He-Dong Li, Li-Ping Wang, Hai-Long Wu

Publikováno v: Natural Products and Bioprospecting, Vol 7, Iss 6, Pp 445-459 (2017)

Abstract An HPLC-DAD method combined with second-order calibration based on the alternating trilinear decomposition (ATLD) algorithm with the aid of region selection was developed to simultaneously and quantitatively characterize the synergistic rela

Externí odkaz: https://doaj.org/article/fc4ec254922f465d8c5bc36aede74879

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Akademický článek

Combining Near-Infrared Spectroscopy and Chemometrics for Rapid Recognition of an Hg-Contaminated Plant

Autor: Bang-Cheng Tang, Hai-Yan Fu, Qiao-Bo Yin, Zeng-Yan Zhou, Wei Shi, Lu Xu, Yuan-Bin She

Publikováno v: Journal of Spectroscopy, Vol 2016 (2016)

The feasibility of rapid recognition of an Hg-contaminated plant as a soil pollution indicator was investigated using near-infrared spectroscopy (NIRS) and chemometrics. The stem and leave of a native plant, Miscanthus floridulus (Labill.) Warb. (MFL

Externí odkaz: https://doaj.org/article/44645699ebf14d3c897ae9c58eff1eb9

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Interpretable linear and nonlinear quantitative structure-selectivity relationship (QSSR) modeling of a biomimetic catalytic system by particle swarm optimization based sparse regression

Autor: Qiao Bo Yin, Haiyan Fu, Yuan Bin She, Mohammad Taghi Goodarzi, Lu Xu, Yao Fan

Publikováno v: Chemometrics and Intelligent Laboratory Systems. 159:187-195

A particle swarm optimization (PSO) based sparse regression (PSO-SR) strategy was proposed to study the quantitative structure-selectivity relationship (QSSR) of a biomimetic catalytic system, where the selectivity in the mild oxidation of o -nitroto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::59a644d3d9a5cb0da756f93b16dabf56
https://doi.org/10.1016/j.chemolab.2016.10.016

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Challenges of large-class-number classification (LCNC): A novel ensemble strategy (ES) and its application to discriminating the geographical origins of 25 green teas

Autor: Yuan Bin She, Lu Xu, Gang Feng Li, Mohammad Taghi Goodarzi, Qiao Bo Yin, Haiyan Fu, Tian Ming Yang, FengQiao

Publikováno v: Chemometrics and Intelligent Laboratory Systems. 157:43-49

Large-class-number classification (LCNC) would bring new challenges to pattern recognition due to increased data complexity and class overlapping. In this study, a novel ensemble strategy (ES) was proposed to tackle LCNC problems. By combining the On

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd779092f997038d0379ac5fb01c87ee
https://doi.org/10.1016/j.chemolab.2016.06.018

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