Parameter Optimization of Support Vector Machine to Improve the Predictive Performance for Determination of Aflatoxin B<sub>1</sub> in Peanuts by Olfactory Visualization Technique

Parameter Optimization of Support Vector Machine to Improve the Predictive Performance for Determination of Aflatoxin B<sub>1</sub> in Peanuts by Olfactory Visualization Technique

This study proposes a novel method for detection of aflatoxin B<sub>1</sub> (AFB<sub>1</sub>) in peanuts using olfactory visualization technique. First, 12 kinds of chemical dyes were selected to prepare a colorimetric sensor to assemble olfactory visualization system, which...

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Bibliographic Details
Main Authors: Chengyun Zhu, Jihong Deng, Hui Jiang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Molecules
Subjects:
peanut
olfactory visualization technique
aflatoxin B<sub>1</sub>
feature optimization
determination
Online Access:https://www.mdpi.com/1420-3049/27/19/6730

Internet

https://www.mdpi.com/1420-3049/27/19/6730

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