Fluorescence polarization technique: A new method for vegetable oils classification

Taotao Mu; Siying Chen; Yinchao Zhang; Fandong Meng; Pan Guo; He Chen; Xiaohua Liu

doi:10.1039/c5ay00595g

Fluorescence polarization technique: A new method for vegetable oils classification

Taotao Mu, Siying Chen^*, Yinchao Zhang, Fandong Meng, Pan Guo, He Chen, Xiaohua Liu

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

Concern about classification of different edible oils has risen recently in food safety. Developing an effective oil classification method is essential for public health. In this paper, a novel fluorescence polarization technique is developed to classify various types of oils. The degree of polarization (DOP) spectra of seven vegetable oils are collected and analyzed. Classification of olive oil, walnut oil, and other types of oils is successfully achieved with DOP spectra under 532 nm laser excitation. A classification accuracy of 100% is obtained for the investigated samples. The method is non-destructive and requires no sample preparation, which provides insight to develop a novel portable monitor system concerning food safety.

Original language	English
Pages (from-to)	5175-5179
Number of pages	5
Journal	Analytical Methods
Volume	7
Issue number	12
DOIs	https://doi.org/10.1039/c5ay00595g
Publication status	Published - 21 Jun 2015

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title = "Fluorescence polarization technique: A new method for vegetable oils classification",

abstract = "Concern about classification of different edible oils has risen recently in food safety. Developing an effective oil classification method is essential for public health. In this paper, a novel fluorescence polarization technique is developed to classify various types of oils. The degree of polarization (DOP) spectra of seven vegetable oils are collected and analyzed. Classification of olive oil, walnut oil, and other types of oils is successfully achieved with DOP spectra under 532 nm laser excitation. A classification accuracy of 100% is obtained for the investigated samples. The method is non-destructive and requires no sample preparation, which provides insight to develop a novel portable monitor system concerning food safety.",

author = "Taotao Mu and Siying Chen and Yinchao Zhang and Fandong Meng and Pan Guo and He Chen and Xiaohua Liu",

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T2 - A new method for vegetable oils classification

AU - Mu, Taotao

AU - Chen, Siying

AU - Zhang, Yinchao

AU - Meng, Fandong

AU - Guo, Pan

AU - Chen, He

AU - Liu, Xiaohua

PY - 2015/6/21

Y1 - 2015/6/21

N2 - Concern about classification of different edible oils has risen recently in food safety. Developing an effective oil classification method is essential for public health. In this paper, a novel fluorescence polarization technique is developed to classify various types of oils. The degree of polarization (DOP) spectra of seven vegetable oils are collected and analyzed. Classification of olive oil, walnut oil, and other types of oils is successfully achieved with DOP spectra under 532 nm laser excitation. A classification accuracy of 100% is obtained for the investigated samples. The method is non-destructive and requires no sample preparation, which provides insight to develop a novel portable monitor system concerning food safety.

AB - Concern about classification of different edible oils has risen recently in food safety. Developing an effective oil classification method is essential for public health. In this paper, a novel fluorescence polarization technique is developed to classify various types of oils. The degree of polarization (DOP) spectra of seven vegetable oils are collected and analyzed. Classification of olive oil, walnut oil, and other types of oils is successfully achieved with DOP spectra under 532 nm laser excitation. A classification accuracy of 100% is obtained for the investigated samples. The method is non-destructive and requires no sample preparation, which provides insight to develop a novel portable monitor system concerning food safety.

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VL - 7

SP - 5175

EP - 5179

JO - Analytical Methods

JF - Analytical Methods

IS - 12

ER -

Fluorescence polarization technique: A new method for vegetable oils classification

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