Rapid and non-invasive estimation of total phenol content and species identification in dried wild edible bolete using FT-NIR spectroscopy

Rapid and non-invasive estimation of total phenol content and species identification in dried wild edible bolete using FT-NIR spectroscopy

The market for dried wild edible mushrooms is characterized by quality discrepancies and species disorganization, which are a matter of concern. The feasibility of using fourier transform near-infrared (FT-NIR) spectroscopy with chemometrics to predict the total phenol content and identify species w...

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Bibliographic Details
Main Authors: Chuanmao Zheng, Jieqing Li, Honggao Liu, Yuanzhong Wang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Arabian Journal of Chemistry
Subjects:
Dried wild edible bolete
Total phenol content
Prediction
Identification
FT-NIR
ResNet
Online Access:http://www.sciencedirect.com/science/article/pii/S1878535224004131
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