{"title":"筛选何首乌最佳加工方法的定量预测模型。","authors":"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","doi":"10.1080/10286020.2024.2390496","DOIUrl":null,"url":null,"abstract":"<p><p><i>Polygonati</i> 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.</p>","PeriodicalId":15180,"journal":{"name":"Journal of Asian Natural Products Research","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative predictive model for screening optimal processing methods of <i>Polygonati</i> rhizoma.\",\"authors\":\"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\",\"doi\":\"10.1080/10286020.2024.2390496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><i>Polygonati</i> 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.</p>\",\"PeriodicalId\":15180,\"journal\":{\"name\":\"Journal of Asian Natural Products Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Asian Natural Products Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/10286020.2024.2390496\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Asian Natural Products Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10286020.2024.2390496","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
Quantitative predictive model for screening optimal processing methods of Polygonati rhizoma.
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.
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.
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