Study on the Correlation between Active Ingredients of Atractylodes Macrocephala and Endogenous Microorganisms

This article aims to explore the correlation between active ingredients and endogenous microorganisms in Atractylodes macrocephala, and reveal the influence of endogenous microorganisms on the synthesis of active ingredients in Atractylodes macrocephala through experimental research, providing a new perspective for the study of bioactive ingredients in medicinal plants. This study used advanced molecular biology techniques combined with statistical methods to analyze samples of Atractylodes macrocephala and explore the relationship between endogenous microbial diversity and active ingredient content.

Authors

Publication Details

Journal
Academic Journal of Science and Technology
Published
2024-09-12
DOI
https://doi.org/10.54097/srmfs528
Citations
1
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
0.72
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article

Study on the Correlation between Active Ingredients of Atractylodes Macrocephala and Endogenous Microorganisms

Cong Ma, Wenyi Wang, Yan‐Hong Wang, Zhicheng Zheng
1 citations
Academic Journal of Science and Technology
Traditional Chinese Medicine Analysis
0.72
article

Study on the Correlation between Active Ingredients of Atractylodes Macrocephala and Endogenous Microorganisms

Cong Ma, Wenyi Wang, Yan‐Hong Wang, Zhicheng Zheng
article en
1 citations

Abstract

This article aims to explore the correlation between active ingredients and endogenous microorganisms in Atractylodes macrocephala, and reveal the influence of endogenous microorganisms on the synthesis of active ingredients in Atractylodes macrocephala through experimental research, providing a new perspective for the study of bioactive ingredients in medicinal plants. This study used advanced molecular biology techniques combined with statistical methods to analyze samples of Atractylodes macrocephala and explore the relationship between endogenous microbial diversity and active ingredient content.

Academic Journal of Science and TechnologyVol. 12(2)
Openalex Percentile: Top 24%
Traditional Chinese Medicine Analysis
0.72
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