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Proceedings Paper

Portable detection system of vegetable oils based on laser induced fluorescence
Author(s): Li Zhu; Yinchao Zhang; Siying Chen; He Chen; Pan Guo; Taotao Mu
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Paper Abstract

Food safety, especially edible oils, has attracted more and more attention recently. Many methods and instruments have emerged to detect the edible oils, which include oils classification and adulteration. It is well known than the adulteration is based on classification. Then, in this paper, a portable detection system, based on laser induced fluorescence, is proposed and designed to classify the various edible oils, including (olive, rapeseed, walnut, peanut, linseed, sunflower, corn oils). 532 nm laser modules are used in this equipment. Then, all the components are assembled into a module (100*100*25mm). A total of 700 sets of fluorescence data (100 sets of each type oil) are collected. In order to classify different edible oils, principle components analysis and support vector machine have been employed in the data analysis. The training set consisted of 560 sets of data (80 sets of each oil) and the test set consisted of 140 sets of data (20 sets of each oil). The recognition rate is up to 99%, which demonstrates the reliability of this potable system. With nonintrusive and no sample preparation characteristic, the potable system can be effectively applied for food detection.

Paper Details

Date Published: 5 November 2015
PDF: 4 pages
Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97952I (5 November 2015); doi: 10.1117/12.2217577
Show Author Affiliations
Li Zhu, Beijing Institute of Technology (China)
Yinchao Zhang, Beijing Institute of Technology (China)
Siying Chen, Beijing Institute of Technology (China)
He Chen, Beijing Institute of Technology (China)
Pan Guo, Beijing Institute of Technology (China)
Taotao Mu, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 9795:
Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015
Shenggang Liu; Songlin Zhuang; Michael I. Petelin; Libin Xiang, Editor(s)

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