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

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...

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Bibliographic Details
Main Authors: Xuejian Song, Lili Qian, Dongjie Zhang, Xinhui Wang, Lixue Fu, Mingming Chen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Foods
Subjects:
soybean
electronic nose
mildew
principal component analysis
linear discriminant analysis
Online Access:https://www.mdpi.com/2304-8158/13/24/4064
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