Identification of geographical origins of Cordyceps based on data of amino acids with self-organizing map neural network

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:46

Enthalten in:

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica - 46(2021), 18 vom: 18. Sept., Seite 4765-4773

Sprache:

Chinesisch

Beteiligte Personen:

Shi, Yan [VerfasserIn]
Wei, Feng [VerfasserIn]
Wang, Gang-Li [VerfasserIn]
Ma, Shuang-Cheng [VerfasserIn]
Lin, Rui-Chao [VerfasserIn]

Links:

Volltext

Themen:

Amino Acids
Amino acid
Cordyceps
Journal Article
Methionine
Self-organizing map neural network
XY-Fused network

Anmerkungen:

Date Completed 29.09.2021

Date Revised 29.09.2021

published: Print

Citation Status MEDLINE

doi:

10.19540/j.cnki.cjcmm.20210623.203

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM331226758