Qualitative and quantitative evaluation of Flos Puerariae by using chemical fingerprint in combination with chemometrics method

Han, Jing; Xu, Ke; Yan, Qingzhi; Sui, Wenwen; Zhang, Haotian; Wang, Sijie; Zhang, Zan; Wei, Ziyun; Han, Fei

doi:10.1016/j.jpha.2021.09.003

Cited by 38 publications

(20 citation statements)

References 33 publications

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“…Chromatographic fingerprints should be evaluated by similarities, which are calculated from the values of the correlation coefficient. A correlation coefficient of not less than 0.9 indicates perfect similarity among different samples [45,46] . The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicines (Version 2012A) was promulgated by the Chinese Pharmacopoeia Commission, which is widely used in the quality evaluation of Chinese medicinal materials to generate and characterize the similarity by calculating the correlation coefficient [46–49] .…”

Section: Resultsmentioning

confidence: 99%

Discrimination of Polygonati Rhizoma Species: An Investigation Utilizing High‐Performance Liquid Chromatography Fingerprints and Chemometrics

Zhou

Liu

Gao

et al. 2023

Chemistry & Biodiversity

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Polygonati Rhizoma has been a famous traditional Chinese medicine (TCM) for two thousand years. It is increasingly being used not just as a traditional herbal medicine but also as a popular functional food. In this study, qualitative and quantitative analysis of PR from three different origins were initially performed using chemical fingerprint and chemometrics methods. Hierarchical cluster analysis (HCA) and Principal component analysis (PCA) were used to classify 60 PR samples from three different origins. The results revealed that the PR samples fell into three clusters related to the origins. In addition, pairwise comparison of varying PR and obtaining chemical markers between different species through the establishment of partial least squares discriminant analysis. Finally, chemical markers 9,13 and 17 were identified by LC/MS as disporopsin, 5,7dihydroxy-3-(4'-hydroxybenzyl)-6,8-dimethylchroman-4-one and (3R)-5,7-dihydroxy-3-(4'-hydroxybenzyl)-6-methylchroman-4one or isomer, respectively. In conclusion, these methods can be applied to identify and distinguish the quality of PR with other original plants and provide novel ideas for evaluating herbal products used in TCM.

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Section: Resultsmentioning

confidence: 99%

Discrimination of Polygonati Rhizoma Species: An Investigation Utilizing High‐Performance Liquid Chromatography Fingerprints and Chemometrics

Zhou

Liu

Gao

et al. 2023

Chemistry & Biodiversity

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“…The quality control strategies of TCMs based on the BFD combined with chemometrics were applied to classify different samples, explore more detailed chemical information and illustrate the discrepancies among these samples, including hierarchical cluster analysis (HCA), principal component analysis (PCA), so independent modeling of class analogy (SIMCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). [13][14][15][16] The similarities and differences between the BFD and single-wavelength ngerprint in classication were compared by the above-mentioned methods.…”

Section: Discussionmentioning

confidence: 99%

An intelligent extraction approach of feature information from three-dimensional DAD chromatogram for integrated quality control of traditional Chinese medicines: Gardenia jasminoides root as an example

et al. 2023

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“…This has the advantages of objectivity, the internality of the physiological signal features and the comprehensiveness and universality of the clinical scales. A previous study indicated that a qualitative-quantitative combination method can improve the evaluation models' reliability, and thus they have been widely used in the fields of chemistry and biology [33,34]. The combination of qualitative and quantitative methods can improve an evaluation model by balancing the limitations of one type of data with the strengths of another [35].…”

Section: A Effectiveness Of the Evaluation Modelmentioning

confidence: 99%

A Multidimensional Visible Evaluation Model for Stroke Rehabilitation: A Pilot Study

Xie

Wang

Chen

et al. 2023

IEEE Trans. Neural Syst. Rehabil. Eng.

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Efficient rehabilitation state evaluation is important to the design of rehabilitation strategies after stroke. However, most traditional evaluations have depended on subjective clinical scales, which do not entail quantitative evaluation of the motor function. Functional corticomuscular coupling (FCMC) can be used to quantitatively describe the rehabilitation state. However, how to apply FCMC to clinical evaluation still needs to be studied. In this study, we propose a visible evaluation model which can combine the FCMC indicators with a Ueda score to comprehensively evaluate the motor function. In this model, we first calculated the FCMC indicators based on our previous study, including transfer spectral entropy (TSE), wavelet package transfer entropy (WPTE) and multiscale transfer entropy (MSTE). We then apply Pearson correlation analysis to determine which FCMC indicators are significantly correlated with the Ueda score. Then, we simultaneously introduced a radar map to present the selected FCMC indicators and the Ueda score, and described the relation between them. Finally, we calculated the comprehensive evaluation function (CEF) of the radar map and applied it as a comprehensive score of the rehabilitation state. To verify the model's effectiveness, we synchronously collected the electroencephalogram (EEG) and electrocardiogram (EMG) data from stroke patients under the steady-state force task and evaluated the state by the model. This model visualized the evaluation results by constructing a radar map and presented the physiological electrical signal features and the clinical scales at the same time. The CEF indicator calculated from this model was significantly correlated with the Ueda score (P=0.001<0.01). This research provides a new approach to evaluation and rehabilitation training after stroke, and explicates possible pathomechanisms.

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Qualitative and quantitative evaluation of Flos Puerariae by using chemical fingerprint in combination with chemometrics method

Cited by 38 publications

References 33 publications

Discrimination of Polygonati Rhizoma Species: An Investigation Utilizing High‐Performance Liquid Chromatography Fingerprints and Chemometrics

Discrimination of Polygonati Rhizoma Species: An Investigation Utilizing High‐Performance Liquid Chromatography Fingerprints and Chemometrics

An intelligent extraction approach of feature information from three-dimensional DAD chromatogram for integrated quality control of traditional Chinese medicines: Gardenia jasminoides root as an example

A Multidimensional Visible Evaluation Model for Stroke Rehabilitation: A Pilot Study

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