DOSY-Assisted Multicomponent Characterization Enables Classification of Precious Chinese Materia Medica and Identification of Adulteration: A Case Study of Calculus Bovis.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2025-03-04 DOI:10.1002/pca.3522
Shanghong Li, Cuifen Fang, Sinan Wang, Hsiuting Chang, Cheng Zheng, Yi Wang, Yu Tang
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Abstract

Introduction: Despite significant advances in analytical methods, the quality evaluation and adulteration detection of chemically complex traditional Chinese medicines continues to be a major challenge.

Objectives: We developed a custom diffusion-ordered spectroscopy (DOSY) approach for the qualitative analysis of precious Calculus Bovis (CB) and detection of its adulterants.

Methods: Using Artificial Calculus Bovis as an example, we focused on the effects of NMR spectrometers, solvent viscosity, matrices, matrix concentration, and temperature on separation efficiency of DOSY. The optimal conditions also successfully applied for the identification of Natural Calculus Bovis, Calculus Bovis Sativus, and adulterated samples. The accuracy of DOSY was verified by 13C NMR.

Results: Via inspection of NMR spectrometers, solvents, matrices, matrix concentration, and temperature, the optimal conditions for DOSY experiments of CB were found to be using methanol-d4 as the solvent, adding 4 mg of polyvinyl pyrrolidone (PVP) as the matrix, and a temperature of 298 K. Under these conditions, five types of compounds, cholic acid (CA), deoxycholic acid (DCA), hyodeoxycholic acid (HDCA), taurine-conjugated bile acids (tBAs), and glycine-conjugated bile acids (gBAs), were unequivocally identified in three types of CB. 13C NMR validated the accuracy of the DOSY results. As for the sugar-adulterated CB, the signals of sugar could be clearly identified on the DOSY spectrum.

Conclusions: This study verified the feasibility of DOSY for the quality evaluation of CB and provided a reference point for future qualitative and quantitative analysis of other complex traditional Chinese medicines, as well as the characterization of adulterated samples.

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DOSY 辅助多组分表征技术实现了珍贵中药材的分类和掺假鉴定:牛黄的案例研究。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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