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Comparative analysis of four edible mushrooms based on HPLC fingerprint and pattern recognition analysis

Authors :
Xiali Si
Xinyu Liu
Shuangyu Shao
Zhiyong Du
Pengfei Tu
Qingying Zhang
Source :
Journal of Future Foods, Vol 4, Iss 1, Pp 105-110 (2024)
Publication Year :
2024
Publisher :
KeAi Communications Co. Ltd., 2024.

Abstract

A high performance liquid chromatography-ultraviolet (HPLC-UV) fingerprint method for the overall chemical analysis of edible mushrooms was established based on Auricularia heimuer for the first time, and then applied to analyze 60 batches of A. heimuer, Auricularia cornea, Auricularia cornea ʻYu Muerʼ and Tremella fuciformis. A total of 9 characteristic peaks of A. heimuer, 11 characteristic peaks of A. cornea, 6 characteristic peaks of A. cornea ʻYu Muerʼ, and 9 characteristic peaks of T. fuciformis were designated. Then, a combinatory analysis, including similarity evaluation, hierarchical cluster analysis and principal component analysis, revealed the chemical consistency and difference between samples from the same and different species. The HPLC fingerprint method established in this paper could be used to characterize the components of A. heimuer, A. cornea, A. cornea ʻYu Muerʼ, and T. fuciformis and discriminate the 4 edible mushrooms effectively in combination with pattern recognition analysis.

Details

Language :
English
ISSN :
27725669
Volume :
4
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Future Foods
Publication Type :
Academic Journal
Accession number :
edsdoj.107a2f8410849c5a94ca69c5f63c510
Document Type :
article
Full Text :
https://doi.org/10.1016/j.jfutfo.2023.05.008