Identification of geographical origins of Cordyceps based on data of amino acids with self-organizing map neural network.
10.19540/j.cnki.cjcmm.20210623.203
- Author:
Yan SHI
1
;
Feng WEI
1
;
Gang-Li WANG
1
;
Shuang-Cheng MA
1
;
Rui-Chao LIN
2
Author Information
1. National Institutes for Food and Drug Control Beijing 102629, China.
2. Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing University of Chinese Medicine Beijing 102488, China.
- Publication Type:Journal Article
- Keywords:
Cordyceps;
XY-Fused network;
amino acid;
methionine;
self-organizing map neural network
- MeSH:
Amino Acids;
Cordyceps/genetics*;
Geography;
Neural Networks, Computer;
Tibet
- From:
China Journal of Chinese Materia Medica
2021;46(18):4765-4773
- CountryChina
- Language:Chinese
-
Abstract:
In this study, data of amino acids of Cordyceps samples from Qinghai and Tibet was analyzed with self-organizing map neural network. A model of XY-Fused network was established with the content of 8 major amino acids and total amino acids for the identification of geographical origins of Cordyceps from Qinghai and Tibet. It had the prediction accuracy of 83.3% for the test set. In addition, data mining indicated that methionine was a special kind of amino acid in Cordyceps which could serve as a marker to identify its geographical origins. On this basis, the content ratio of methionine to total amino acids was proposed to be a quantifiable indicator to distinguish Cordyceps from Qinghai and Tibet.
