Literature DB >> 34274441

Rapid discrimination and screening of volatile markers for varietal recognition of Curcumae Radix using ATR-FTIR and HS-GC-MS combined with chemometrics.

Le Wang1, Xiang Li2, Yu Wang3, Xueyang Ren4, Xiaoyun Liu5, Ying Dong6, Jiamu Ma7, Ruolan Song8, Jing Wei9, AXiang Yu10, Qiqi Fan11, Dongjie Shan12, Jianling Yao13, Gaimei She14.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: Curcumae Radix (Yujin) has a long medicinal use history in China, which is used to cure diseases like jaundice, cholelithiasis caused by dampness-heat of gallbladder and liver, and so on. It comes from the dried tuberous roots of C. kwangsiensis (Guiyujin), C. longa (Huangyujin), C. phaeocaulis (Lvyujin) and C. wenyujin (Wenyujin). Though there are differences in chemical compositions and pharmacological activities among the four species of Yujin, they have not been differentiated well in clinical application due to their similar morphological characterizations. AIM OF THE STUDY: In this study, the four species of Yujin were rapidly and accurately discriminated. The potential volatile markers for varietal recognition were identified.
MATERIALS AND METHODS: Attenuated total reflection fourier transformed infrared (ATR-FTIR) spectroscopy combined with chemometrics was used to rapidly discriminate the four species of Yujin. Headspace-gas chromatography-mass spectrometry (HS-GC-MS) technology coupled with chemometrics was employed to characterize volatile profiling, differentiate species and select potential markers for varietal recognition of Yujin.
RESULTS: By applying PCA (principal components analysis) and HCA (hierarchical cluster analysis), HS-GC-MS realized complete differentiation of the four species of Yujin, while ATR-FTIR only recognized Guiyuijin. Back propagation neural network (BP-NN), KNN (K-nearest neighbor) and LDA (linear discriminant analysis) models based on spectral data achieved 100% discriminant accuracies. Support vector machines (SVM), KNN and PLS-DA (partial least square discriminant analysis) models based on volatile compounds also realized 100% discriminant accuracies. Additionally, the potential volatile markers for varietal recognition of Yujin were screened using PLS-DA, including 2 for Guiyujin, 6 for Lvyujin, 9 for Wenyujin and 13 for Huangyujin.
CONCLUSIONS: The present study developed reliable methods for the varietal discrimination and volatile compounds characterization of Yujin, which will provide references for its quality control and clinical efficacy.
Copyright © 2021. Published by Elsevier B.V.

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Keywords:  ATR-FTIR; Chemometrics; Curcumae radix; HS-GC-MS; Varietal discrimination; Volatile markers

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Year:  2021        PMID: 34274441     DOI: 10.1016/j.jep.2021.114422

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


  2 in total

1.  Comparative Analysis of Volatile Constituents in Root Tuber and Rhizome of Curcuma longa L. Using Fingerprints and Chemometrics Approaches on Gas Chromatography-Mass Spectrometry.

Authors:  Guang-Mei Tang; Yi-Ting Shi; Wen Gao; Meng-Ning Li; Ping Li; Hua Yang
Journal:  Molecules       Date:  2022-05-17       Impact factor: 4.927

2.  Comprehensive chemical profiling of volatile constituents of Angong Niuhuang Pill in vitro and in vivo based on gas chromatography coupled with mass spectrometry.

Authors:  Yue Jiang; Jie Li; Meng Ding; Zi-Fan Guo; Hua Yang; Hui-Jun Li; Wen Gao; Ping Li
Journal:  Chin Med       Date:  2022-09-10       Impact factor: 4.546

  2 in total

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