Quality evaluation and species differentiation of Rhizoma coptidis by using proton nuclear magnetic resonance spectroscopy

Fan, Gang; Zhang, Meng Ying; Zhou, Xiang; Lai, Xianrong; Yue, Qing Hong; Tang, Ce; Luo, Wei Zao; Zhang, Yi

doi:10.1016/j.aca.2012.08.038

Cited by 67 publications

(40 citation statements)

References 30 publications

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“…The signal intensity in the 1 H NMR spectrum is absolutely proportional to the molar concentration of metabolites 27, 28, 52 . Thus, the selected metabolites can be quantified through integration using TSMP as an internal standard according to equation (1):*: m X is the unknown mass of the targeted metabolite; m ST is the mass of the TMSP; A X and A ST are the integral areas for the selected signals; MW X and MW ST are the molecular weights of the targeted metabolite and TMSP; N X and N ST are the number of protons generating the integral signals.…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, this method also can be used to analyze various classes of chemical constituents both qualitatively and quantitatively, with simple sample preparation steps and good reproducibility 27 . Thus, 1 H NMR based metabolomics combined with multivariate data analysis has recently demonstrated its suitability for metabolomics studies for the discrimination, authentication, and quality assessment of food, crops and herbal medicines 28–32 .…”

Section: Introductionmentioning

confidence: 99%

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Metabolic discrimination of sea buckthorn from different Hippophaë species by 1H NMR based metabolomics

Liu

Fan

Zhang

et al. 2017

Sci Rep

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Sea buckthorn (Hippophaë; Elaeagnaceae) berries are widely consumed in traditional folk medicines, nutraceuticals, and as a source of food. The growing demand of sea buckthorn berries and morphological similarity of Hippophaë species leads to confusions, which might cause misidentification of plants used in natural products. Detailed information and comparison of the complete set of metabolites of different Hippophaë species are critical for their objective identification and quality control. Herein, the variation among seven species and seven subspecies of Hippophaë was studied using proton nuclear magnetic resonance (1H NMR) metabolomics combined with multivariate data analysis, and the important metabolites were quantified by quantitative 1H NMR (qNMR) method. The results showed that different Hippophaë species can be clearly discriminated and the important interspecific discriminators, including organic acids, L-quebrachitol, and carbohydrates were identified. Statistical differences were found among most of the Hippophaë species and subspecies at the content levels of the aforementioned interspecific discriminators via qNMR and one-way analysis of variance (ANOVA) test. These findings demonstrated that 1H NMR-based metabolomics is an applicable and effective approach for simultaneous metabolic profiling, species differentiation and quality assessment.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metabolic discrimination of sea buckthorn from different Hippophaë species by 1H NMR based metabolomics

Liu

Fan

Zhang

et al. 2017

Sci Rep

Self Cite

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show abstract

“…The detection wavelength was set at 270 nm. Sample preparation was performed according to our previously reported method (Fan et al, 2012). The dried powders of the Chinese goldthread samples (0.1 g) were accurately weighed into a clean Erlenmeyer flask, and macerated in 50 mL of hydrochloric acid-methanol solution (1:100, v/v).…”

Section: Methodsmentioning

confidence: 99%

Transcriptome analyses provide insights into the difference of alkaloids biosynthesis in the Chinese goldthread (Coptis chinensis Franch.) from different biotopes

Chen

Deng²,

Nie³

et al. 2017

PeerJ

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Coptis chinensis Franch., the Chinese goldthread (‘Weilian’ in Chinese), one of the most important medicinal plants from the family Ranunculaceae, and its rhizome has been widely used in Traditional Chinese Medicine for centuries. Here, we analyzed the chemical components and the transcriptome of the Chinese goldthread from three biotopes, including Zhenping, Zunyi and Shizhu. We built comprehensive, high-quality de novo transcriptome assemblies of the Chinese goldthread from short-read RNA-Sequencing data, obtaining 155,710 transcripts and 56,071 unigenes. More than 98.39% and 95.97% of core eukaryotic genes were found in the transcripts and unigenes respectively, indicating that this unigene set capture the majority of the coding genes. A total of 520,462, 493,718, and 507,247 heterozygous SNPs were identified in the three accessions from Zhenping, Zunyi, and Shizhu respectively, indicating high polymorphism in coding regions of the Chinese goldthread (∼1%). Chemical analyses of the rhizome identified six major components, including berberine, palmatine, coptisine, epiberberine, columbamine, and jatrorrhizine. Berberine has the highest concentrations, followed by coptisine, palmatine, and epiberberine sequentially for all the three accessions. The drug quality of the accession from Shizhu may be the highest among these accessions. Differential analyses of the transcriptome identified four pivotal candidate enzymes, including aspartate aminotransferaseprotein, polyphenol oxidase, primary-amine oxidase, and tyrosine decarboxylase, were significantly differentially expressed and may be responsible for the difference of alkaloids contents in the accessions from different biotopes.

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“…qNMR has been increasingly regarded as one of the critical analytical tools for addressing problems usually encountering in quality control of TCM. For instance, Fan et al [143] adopted qNMR to quantitatively analyze six alkaloids in Rhizoma coptidis for quality evaluation and species differentiation. The applications of qNMR in TCM research mainly include purity estimation of either the major active components' reference material or preparations derived from TCMs and determination of the content of major active components in TCMs extracts [144].…”

Section: Tcmmentioning

confidence: 99%

Quantitative NMR Studies of Multiple Compound Mixtures

2017

Annual Reports on NMR Spectroscopy

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Quality evaluation and species differentiation of Rhizoma coptidis by using proton nuclear magnetic resonance spectroscopy

Cited by 67 publications

References 30 publications

Metabolic discrimination of sea buckthorn from different Hippophaë species by 1H NMR based metabolomics

Metabolic discrimination of sea buckthorn from different Hippophaë species by 1H NMR based metabolomics

Transcriptome analyses provide insights into the difference of alkaloids biosynthesis in the Chinese goldthread (Coptis chinensis Franch.) from different biotopes

Quantitative NMR Studies of Multiple Compound Mixtures

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