Determination of total phenol and six polyphenolic components in the polyphenol extract of Cinnamomi cortex by quantitative nuclear magnetic resonance spectroscopy

文献信息

发布日期 2023-11-13
DOI 10.1039/D3AY01501G
影响因子 2.896
作者

Dan-Yang Shi, Yu Zheng, Qiang-Sheng Guo, Can Gong, Xu Xu, Jian-Ping Gao


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摘要

A quantitative nuclear magnetic resonance spectroscopy (qNMR) method was established for determining the total phenol and six polyphenolic components in the polyphenol extract of Cinnamomi cortex. The qNMR approach utilized DMSO-d6 as the deuterated solvent and potassium hydrogen phthalate as the internal standard for quantifying the total phenolic content, expressed as epicatechin equivalence in the sample. Two complementary qNMR methods with DMSO-d6 or D2O as solvent were established to simultaneously determine 6 polyphenol components in the cinnamon polyphenol extract, including epigallocatechin gallate (EGCG), epicatechingallate (ECG), epicatechin (EC), epigallocatechin (EGC), gallocatechin gallate (GCG) and gallic acid (GA). Method validation demonstrated excellent precision with intraday relative standard deviation (RSD) below 1.08% and interday RSD below 1.48%. The linear correlation coefficient (r) exceeded 0.999, and the limits of detection (LOD) were from 0.01 to 0.14 mg mL−1, while the limits of quantification (LOQ) were from 0.07 to 0.69 mg mL−1. Recovery rates for this method fell within the range of 98.2% to 101.7%. Furthermore, the method has been successfully applied for determining the polyphenolic content in authentic cinnamon polyphenol extracts obtained from different sources.

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来源期刊

Analytical Methods

Analytical Methods
CiteScore: 5.1
自引率: 3.7%
年发文量: 655

Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating the potential for societal impact. We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples. We encourage developments within, but not limited to, the following technologies and applications: global health, point-of-care and molecular diagnostics biosensors and bioengineering drug development and pharmaceutical analysis applied microfluidics and nanotechnology omics studies, such as proteomics, metabolomics or glycomics environmental, agricultural and food science neuroscience biochemical and clinical analysis forensic analysis industrial process and method development

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