Quantitative predictive model for screening optimal processing methods of Polygonati rhizoma.

IF 1.3 3区医学 Q3 CHEMISTRY, APPLIED

Journal of Asian Natural Products Research Pub Date : 2024-08-16 DOI:10.1080/10286020.2024.2390496

Shi-Jie Bi, An-Lei Yuan, Zi-Jun Chen, Yue Ren, Kai-Yang Liu, Chao-Qun Liu, Zhen-Zhen Xu, Ze-Wen Wang, Yan-Ling Zhang

引用次数: 0

Abstract

Polygonati rhizoma (Huangjing in Chinese) is a common clinical tonic with the traditional effects of tonifying Qi, nourishing Yin. However, the lack of precise control of processing parameters has led to the uneven quality of processed Huangjing. A prediction model using the CRITIC method optimizes processing by correlating method, component contents, and biological activity, ensuring consistent quality and efficacy.

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筛选何首乌最佳加工方法的定量预测模型。

黄精是临床常用的滋补品，具有补气养阴的传统功效。然而，由于缺乏对加工参数的精确控制，导致加工后的黄精质量参差不齐。利用 CRITIC 方法建立的预测模型可通过关联方法、成分含量和生物活性来优化加工过程，从而确保质量和功效的一致性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Asian Natural Products Research 医学-药学

CiteScore

3.20

自引率

5.90%

发文量

审稿时长

2.3 months

期刊介绍： The Journal of Asian Natural Products Research (JANPR) publishes chemical and pharmaceutical studies in the English language in the field of natural product research on Asian ethnic medicine. The journal publishes work from scientists in Asian countries, e.g. China, Japan, Korea and India, including contributions from other countries concerning natural products of Asia. The journal is chemistry-orientated. Major fields covered are: isolation and structural elucidation of natural constituents (including those for non-medical uses), synthesis and transformation (including biosynthesis and biotransformation) of natural products, pharmacognosy, and allied topics. Biological evaluation of crude extracts are acceptable only as supporting data for pure isolates with well-characterized structures. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymized refereeing by at least two expert referees.