Research progress in the application of stable isotope and mineral element analysis in tracing the geographical origin of Chinese medicinal materials

ZHANG, Ticui; LI, Sen; WANG, Yuanhao; Hu, Qing; Wang, Chao; Yang, Haizhen; Xu, Nai-jiao

doi:10.1590/fst.08222

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…The distribution of Dendrobium devonianum was mainly concentrated in the southeast to west of Yunnan, northwest Guangxi, southwest Guizhou (Wu et al, 2020), while the quality produced in Longling area was higher than that of Dendrobium officinale produced locally. Because the quality of Chinese medicinal materials was closely related to the environment of their origin (Liu et al, 2021;Xu et al, 2013;Zhang et al, 2022), the origin of Dendrobium officinale was not in the Longling area, but was an imported variety from other origins (Yan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

A simple method for distinguishing Dendrobium devonianum and Dendrobium officinale by ultra performance liquid chromatography-photo diode array detector

Lin

Chen

et al. 2023

Food Sci. Technol

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Using UPLC and PDA detector, the fingerprints of Dendrobium devonianum and Dendrobium officinale produced in the Longling area of Yunnan Province, China were obtained quickly and efficiently, and 26 common peaks in Dendrobium devonianum and Dendrobium officinale samples were obtained by automatic peak matching through the "Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System". The relative peak areas of the common peaks were analyzed by PCA using R, and the results showed that Dendrobium devonianum and Dendrobium officinale could be well distinguished by PCA, which was consistent with the analysis results of OPLS-DA. The results fully demonstrate that Dendrobium devonianum and Dendrobium officinale grown in the same area can be effectively distinguished by using the method of common peaks combined with stoichiometry. The VIP value of the 13 common peaks is greater than 1.0, which has a significant contribution to the difference and it was differential marker in Dendrobium devonianum and Dendrobium officinale. At the same time, normal-phase silica gel column chromatography was used to separate and purify the compounds that are related to the common peaks, and a total of 7 compounds were identified, among which eupatolide and isoschaftoside belong to differential markers and characteristic compounds in Dendrobium devonianum and Dendrobium officinale, which have good biological health care activity. The successful identification of Dendrobium devonianum and Dendrobium officinale in Longling area of Yunnan Province and the discovery of related differential markers play an important role in the further research and development of Dendrobium devonianum as a new food raw material and its products.

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Section: Introductionmentioning

confidence: 99%

A simple method for distinguishing Dendrobium devonianum and Dendrobium officinale by ultra performance liquid chromatography-photo diode array detector

Lin

Chen

et al. 2023

Food Sci. Technol

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“…There are many common methods for the origin tracing of traditional Chinese medicines, including stable isotope techniques [ 12 , 13 ], high-performance liquid chromatography (HPLC) analysis [ 14 ], DNA barcoding techniques [ 15 ], near-infrared (NIR) spectroscopy [ 16 , 17 ], and metal element analysis [ 18 , 19 ]. Meng et al determined the stable isotope of volatile compounds in wolfberry from Gansu, Ningxia and Qinghai by gas chromatography isotope ratio mass spectrometry (GC-IRMS), and combined this with one-way analysis of variance (ANOVA) for origin tracing, and reached a final accuracy 89.16%, 87.77%, and 85.87%, respectively [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Protected Geographical Indication Discrimination of Zhejiang and Non-Zhejiang Ophiopogonis japonicus by Near-Infrared (NIR) Spectroscopy Combined with Chemometrics: The Influence of Different Stoichiometric and Spectrogram Pretreatment Methods

et al. 2023

Molecules

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This paper presents a method for the protected geographical indication discrimination of Ophiopogon japonicus from Zhejiang and elsewhere using near-infrared (NIR) spectroscopy combined with chemometrics. A total of 3657 Ophiopogon japonicus samples from five major production areas in China were analyzed by NIR spectroscopy, and divided into 2127 from Zhejiang and 1530 from other areas (‘non-Zhejiang’). Principal component analysis (PCA) was selected to screen outliers and eliminate them. Monte Carlo cross validation (MCCV) was introduced to divide the training set and test set according to a ratio of 3:7. The raw spectra were preprocessed by nine single and partial combination methods such as the standard normal variable (SNV) and derivative, and then modeled by partial least squares regression (PLSR), a support vector machine (SVM), and soft independent modeling of class analogies (SIMCA). The effects of different pretreatment and chemometrics methods on the model are discussed. The results showed that the three pattern recognition methods were effective in geographical origin tracing, and selecting the appropriate preprocessing method could improve the traceability accuracy. The accuracy of PLSR after the standard normal variable was better, with R2 reaching 0.9979, while that of the second derivative was the lowest with an R2 of 0.9656. After the SNV pretreatment, the accuracy of the training set and test set of SVM reached the highest values, which were 99.73% and 98.40%, respectively. The accuracy of SIMCA pretreated with SNV and MSC was the highest for the origin traceability of Ophiopogon japonicus, which could reach 100%. The distance between the two classification models of SIMCA-SNV and SIMCA-MSC is greater than 3, indicating that the SIMCA model has good performance.

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Accurate origin identification of Chinese white Chrysanthemi Flos by analysis of C, N, O, H stable isotope ratios and mineral elements combined with chemometrics

Yao,

Bai,

Wen

et al. 2023

Journal of Food Composition and Analysis

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Research progress in the application of stable isotope and mineral element analysis in tracing the geographical origin of Chinese medicinal materials

Cited by 3 publications

References 16 publications

A simple method for distinguishing Dendrobium devonianum and Dendrobium officinale by ultra performance liquid chromatography-photo diode array detector

A simple method for distinguishing Dendrobium devonianum and Dendrobium officinale by ultra performance liquid chromatography-photo diode array detector

Protected Geographical Indication Discrimination of Zhejiang and Non-Zhejiang Ophiopogonis japonicus by Near-Infrared (NIR) Spectroscopy Combined with Chemometrics: The Influence of Different Stoichiometric and Spectrogram Pretreatment Methods

Accurate origin identification of Chinese white Chrysanthemi Flos by analysis of C, N, O, H stable isotope ratios and mineral elements combined with chemometrics

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