Effectiveness of Differentiating Mold Levels in Soybeans with Electronic Nose Detection Technology

This study employed electronic nose technology to assess the mold levels in soybeans, conducting analyses on artificially inoculated soybeans with five strains of fungi and distinguishing them from naturally moldy soybeans. Principal component analysis (PCA) and linear discriminant analysis (LDA) we...

詳細記述

書誌詳細

出版年:	Foods
主要な著者:	Xuejian Song, Lili Qian, Dongjie Zhang, Xinhui Wang, Lixue Fu, Mingming Chen
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-12-01
主題:	soybean electronic nose mildew principal component analysis linear discriminant analysis
オンライン･アクセス:	https://www.mdpi.com/2304-8158/13/24/4064