Metabolomics Based on UPLC-QTOF/MS Applied for the Discrimination of Cynanchum wilfordii and Cynanchum auriculatum

Lee, Jaewon; Ji, Seung-Heon; Mi-Kyoung, Lee; Kim, Geum-Soog; Ahn, Young-Sup; Ko, Hee-Jung; Baek, Nam‐In; Lee, Dae-Young

doi:10.4172/2153-0769.1000152

Cited by 3 publications

(1 citation statement)

References 15 publications

(19 reference statements)

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“…HPLC and UPLC-QTOF-MS-based metabolomics can discriminate the roots of C. wilfordii and C. auriculatum. 200,201 Moreover, genotype analysis involving real-time PCR amplification can easily, quickly and accurately distinguish the two species. 202…”

Section: Dietary Supplementsmentioning

confidence: 99%

Modern analytical methods for the detection of food fraud and adulteration by food category

et al. 2017

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This review provides current information on the analytical methods used to identify food adulteration in the six most adulterated food categories: animal origin and seafood, oils and fats, beverages, spices and sweet foods (e.g. honey), grain-based food, and others (organic food and dietary supplements). The analytical techniques (both conventional and emerging) used to identify adulteration in these six food categories involve sensory, physicochemical, DNA-based, chromatographic and spectroscopic methods, and have been combined with chemometrics, making these techniques more convenient and effective for the analysis of a broad variety of food products. Despite recent advances, the need remains for suitably sensitive and widely applicable methodologies that encompass all the various aspects of food adulteration. © 2017 Society of Chemical Industry.

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Section: Dietary Supplementsmentioning

confidence: 99%

Modern analytical methods for the detection of food fraud and adulteration by food category

et al. 2017

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Investigation of alterations in phospholipids during the production chain of infant formulas via HILIC-QTOF-MS and multivariate data analysis

et al. 2021

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Inspecting the True Identity of Herbal Materials from Cynanchum Using ITS2 Barcode

2017

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Cynanchum is a large genus with some important medicinal species in China. The medicinal species in Cynanchum are easily confused, leading to potential safety risks. In this study, the internal transcribed spacer 2 (ITS2) barcode was used to discriminate the medicinal plants in Cynanchum. The identifying capability of ITS2 was assessed using the specific genetic divergence, BLAST1, neighbor-joining (NJ) tree, maximum-likelihood (ML) tree, and single-nucleotide polymorphism (SNP) methods. Results indicated that the intra-specific genetic divergences of Cynanchum species were lower than their inter-specific genetic divergences. Of the 87 samples from 17 species, ITS2 showed a high identification efficiency of 90.8 and 87.4% at the species level through BLAST1 and the nearest distance methods. NJ tree and ML tree also demonstrated the suitability of ITS2 to differentiate Cynanchum species. Meanwhile, a stable SNP was found, and it could accurately authenticate Cynanchum paniculatum and Cynanchum atratum. Furthermore, we collected 64 commercial samples from three commonly used herbal medicines and evaluated the capability of ITS2 to survey their authentication. Of these samples, Cynanchi Atrati Radix et Rhizoma (Baiwei) showed a potential safety problem, and all the 11 test samples were adulterants. In conclusion, ITS2 can distinguish medicinal species in Cynanchum effectively, and its application could greatly improve the identification efficiency and accuracy of commercial herbal medicines in this genus.

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Metabolomics Based on UPLC-QTOF/MS Applied for the Discrimination of Cynanchum wilfordii and Cynanchum auriculatum

Cited by 3 publications

References 15 publications

Modern analytical methods for the detection of food fraud and adulteration by food category

Modern analytical methods for the detection of food fraud and adulteration by food category

Investigation of alterations in phospholipids during the production chain of infant formulas via HILIC-QTOF-MS and multivariate data analysis

Inspecting the True Identity of Herbal Materials from Cynanchum Using ITS2 Barcode

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