2017
DOI: 10.3389/fchem.2017.00125
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Comprehensive Quality Assessment Based Specific Chemical Profiles for Geographic and Tissue Variation in Gentiana rigescens Using HPLC and FTIR Method Combined with Principal Component Analysis

Abstract: Roots, stems, leaves, and flowers of Longdan (Gentiana rigescens Franch. ex Hemsl) were collected from six geographic origins of Yunnan Province (n = 240) to implement the quality assessment based on contents of gentiopicroside, loganic acid, sweroside and swertiamarin and chemical profile using HPLC-DAD and FTIR method combined with principal component analysis (PCA). The content of gentiopicroside (major iridoid glycoside) was the highest in G. rigescens, regardless of tissue and geographic origin. The level… Show more

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Cited by 22 publications
(16 citation statements)
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“…Data fusion techniques were used for coalescing information from different instruments to obtain a more accurate and holistic description. It could offset the deficiency among different analytical instruments (Li et al, 2017). In other words, the merging technique could improve the quality of sample chemical profiles and provide complementary information.…”
Section: Data Fusionmentioning
confidence: 99%
See 1 more Smart Citation
“…Data fusion techniques were used for coalescing information from different instruments to obtain a more accurate and holistic description. It could offset the deficiency among different analytical instruments (Li et al, 2017). In other words, the merging technique could improve the quality of sample chemical profiles and provide complementary information.…”
Section: Data Fusionmentioning
confidence: 99%
“…Conventionally, high (ultra) performance liquid chromatography coupled with diode array detector or mass spectrometry is the common tool for analyzing of chemical composition and for determination of EUL's relative content (Niu et al, 2016;Li et al, 2017;Yan et al, 2018). Essential oil and their chemical constituent can be examined through gas chromatography linked with flame ionization or mass spectrometry (Farag et al, 2018;Kfoury et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Principal component analysis (PCA) is widely employed to identify and eliminate outliers, reduced the dimensionality of the existing data set, and extracted important information (Chen, Tan, & Lin, 2019; Li, Zhang, Zhao, Huang, & Wang, 2017). The analysis can simplify the data of raw spectra into several variables and eliminate collinearity and reduce the machine learning time while retaining the spectral information correlated with the black tea grades (Subbuthai, Periasamy, & Muruganand, 2012).…”
Section: Methodsmentioning
confidence: 99%
“…As a useful tool for integrating the information of chemical compounds behind the analysis, chemical pattern recognition (CPR) can be divided into unsupervised methods and supervised methods [13]. Unsupervised methods are performed without knowing any sample attributes in advance, including hierarchical cluster analysis (HCA) [14], principal component analysis (PCA) [15], etc. Supervised methods were performed with all known sample information, including partial least squares‐discriminant analysis (PLS‐DA) [16], orthogonal partial least squares discriminant analysis (OPLS‐DA) [17], artificial neural network (ANN) [18], etc.…”
Section: Introductionmentioning
confidence: 99%