Fingerprinting and Determination of Hepatotoxic Constituents in Polygoni Multiflori Radix Praeparata of Different Producing Places by HPLC

Zhou, Gui; Feng, Yiming; Li, Zhicheng; Tao, Liyu; Kong, Wei-Song; Xie, Rui-Fang; Zhou, Xin

doi:10.1093/chromsci/bmab086

Cited by 6 publications

(4 citation statements)

References 30 publications

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“…19 The most common and convenient detection method is highperformance liquid chromatography (HPLC) because of its good separation, high analysis speed, high selectivity, and wide application range. 20 With the development of data mining technology, fingerprinting combined with chemometric analysis has been widely used for quality evaluation and screening of differential markers in Chinese medicine. 21,22 Therefore, the method can also be used for quality control of THL.…”

Section: Introductionmentioning

confidence: 99%

“…Chromatography fingerprinting is a comprehensive and quantitative analysis method that can elucidate the complexity and relevance of components 19 . The most common and convenient detection method is high‐performance liquid chromatography (HPLC) because of its good separation, high analysis speed, high selectivity, and wide application range 20 . With the development of data mining technology, fingerprinting combined with chemometric analysis has been widely used for quality evaluation and screening of differential markers in Chinese medicine 21,22 .…”

Section: Introductionmentioning

confidence: 99%

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Chemical fingerprint analysis and quality assessment of Tibetan medicine Triphala from different origins by high‐performance liquid chromatography

Long

Liu

et al. 2023

Phytochemical Analysis

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Introduction Although the Tibetan medicine Triphala (THL) is widely used in many countries, insufficient progress has been made in quality control. Objectives The present study aimed to propose a methodology for quality control of THL based on HPLC fingerprinting combined with an orthogonal array design. Methods Seven identified peaks were used as indicators to examine the effects of temperature, extraction time, and solid–liquid ratio on the dissolution of active ingredients in THL. Fingerprint analysis was performed on 20 batches of THL from four geographical areas (China, Laos, Thailand, and Vietnam). For further chemometric assessment, analysis techniques including similarity analysis, hierarchical clustering analysis, principal component analysis, and orthogonal partial least squares discrimination analysis (OPLS‐DA) were used to classify the 20 batches of samples. Results Fingerprints were established and 19 common peaks were identified. The similarity of 20 batches of THL was more than 0.9 and the batches were divided into two clusters. Four differential components of THL were identified based on OPLS‐DA, including chebulinic acid, chebulagic acid, and corilagin. The optimal extraction conditions were an extraction time of 30 min, a temperature of 90°C, and a solid–liquid ratio of 30 mL/g. Conclusion HPLC fingerprinting combined with an orthogonal array design could be used for comprehensive evaluation and quality assessment of THL, providing a theoretical basis for further development and utilization of THL.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Chemical fingerprint analysis and quality assessment of Tibetan medicine Triphala from different origins by high‐performance liquid chromatography

Long

Liu

et al. 2023

Phytochemical Analysis

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“…Chromatography fngerprint is a comprehensive and quantifable analysis method that can elucidate the complexity and relevance of components [17]. Te most commonly and conveniently used detection methods for fngerprint establishment are chromatography and spectrometry, among which high-performance liquid chromatography (HPLC) has the advantages of high separation, fast analysis speed, good selectivity, and wide application range [18][19][20]. HPLC is based on the principle that substances reach equilibrium through multiple partitioning between two liquid phases and uses the diference in partition coefcients of the components in the two phases for separation, preparation, and collection.…”

Section: Introductionmentioning

confidence: 99%

Chemical Fingerprint Analysis and Content Determination of Horned Gallnut and Bellied Gallnut in Galla Chinensis

Long,

Guo,

et al. 2023

International Journal of Analytical Chemistry

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To establish an objective and comprehensive methodology to analyse the connections and differences between horned gallnut (HG) and bellied gallnut (BG) in Galla Chinensis (GC). The HPLC fingerprints from 15 batches of HG and 15 batches of BG were performed, and chemometric analysis including similarity analysis (SA), hierarchical clustering analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discrimination analysis (OPLS-DA) was also set up. The results showed that the similarity of all batch samples was more than 0.9. In fingerprint analysis, 8 distinct common peaks were detected, among which gallic acid (GA), 1,3,6-tri-O-galloyl-β-D-glucose (TGG), and 1,2,3,4,6-O-galloyl-D-glucose (PGG) were identified by comparing with the standard compounds. Meanwhile, samples were clearly grouped into two classifications corresponding to HG and BG. This study demonstrated that HPLC fingerprints coupled with chemometric analysis could be applied to discriminate HG and BG and evaluate the qualities of HG and BG rapidly, which provided a certain experimental basis for the selection of GC raw materials and subsequent use.

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“…In order to protect the PGI products, researchers have put forward a fingerprint tracing method, that is, using chemical parameters to build the fingerprint of geographical indication products [ 4 ] and comparing it with the fingerprint of the testing sample to determine whether the testing sample is the geographical indication product. At present, the chemical parameters used in the traceability of animal-origin food include stable isotopes [ 5 ], mineral elements [ 6 ], fatty acid content [ 7 , 8 ], amino acid content [ 9 ], and metabolites [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Proposing Two Local Modeling Approaches for Discriminating PGI Sunite Lamb from Other Origins Using Stable Isotopes and Machine Learning

Zhao

Liu

Wang

et al. 2022

Foods

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For the protection of Protected Geographical Indication (PGI) Sunite lamb, PGI Sunite lamb samples and lamb samples from two other banners in the Inner Mongolia autonomous region were distinguished by stable isotopes (δ13C, δ15N, δ2H, and δ18O) and two local modeling approaches. In terms of the main characteristics and predictive performance, local modeling was better than global modeling. The accuracies of five local models (LDA, RF, SVM, BPNN, and KNN) obtained by the Adaptive Kennard–Stone algorithm were 91.30%, 95.65%, 91.30%, 100%, and 91.30%, respectively. The accuracies of the five local models obtained by an approach of PCA–Full distance based on DD–SIMCA were 91.30%, 91.30%, 91.30%, 100%, and 95.65%, respectively. The accuracies of the five global models were 91.30%, 91.30%, 91.30%, 100%, and 91.30%, respectively. Stable isotope ratio analysis combined with local modeling can be used as an effective indicator for protecting PGI Sunite lamb.

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Fingerprinting and Determination of Hepatotoxic Constituents in Polygoni Multiflori Radix Praeparata of Different Producing Places by HPLC

Cited by 6 publications

References 30 publications

Chemical fingerprint analysis and quality assessment of Tibetan medicine Triphala from different origins by high‐performance liquid chromatography

Chemical fingerprint analysis and quality assessment of Tibetan medicine Triphala from different origins by high‐performance liquid chromatography

Chemical Fingerprint Analysis and Content Determination of Horned Gallnut and Bellied Gallnut in Galla Chinensis

Proposing Two Local Modeling Approaches for Discriminating PGI Sunite Lamb from Other Origins Using Stable Isotopes and Machine Learning

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