Aflatoxin B1 Detected by Terahertz Time-domain Spectroscopy

DOI

10.2991/ameii-15.2015.8How to use a DOI?

Keywords

Aflatoxin B1;Terahertz; Spectrum Analysis; Support Vector Machine

Abstract

Developing physical methods to detect aflatoxin is a significant area of research in food safety. Because the current detection methods that use near-infrared spectroscopy are not sufficiently accurate, we focus here on using Terahertz Time-Domain Spectroscopy (THz-TDS) to detect aflatoxin B1 in food. We first divided the concentration of aflatoxin B1 preserved in acetonitrile into ten classifications which are 5ppb, 10ppb,25ppb,50ppb,100ppb,500ppb,1ppm and 10ppm respectively. Each classification corresponds to a certain THz spectroscopy. For the samples with unknown concentration, we respectively used Least-Squares Support Vector Machine (LS-SVM), Naïve Bayes and Back-Propagation Artificial Neural Network(BP-ANN) to identify their concentrations based on THz spectroscopy. Verification results from High Performance Liquid Chromatography (HPLC) show that, compared to the other two methods, LS-SVM has more precision for identifying the concentration of alatoxin B1. The proposed method may provide another effective way for rapid detection of aflatoxin in food.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fei-yu Lian
AU  - Hong-yi Ge
PY  - 2015/04
DA  - 2015/04
TI  - Aflatoxin B1 Detected by Terahertz Time-domain Spectroscopy
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 46
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.8
DO  - 10.2991/ameii-15.2015.8
ID  - Lian2015/04
ER  -