A simple and quick method to detect adulterated sesame oil using 3D fluorescence spectra

Zhao Pan; Rui Hang Li; Yao Yao Cui; Xi Jun Wu; Yu Yan Zhang; Yu Tian Wang

doi:10.1016/j.saa.2020.118948

A simple and quick method to detect adulterated sesame oil using 3D fluorescence spectra

Spectrochim Acta A Mol Biomol Spectrosc. 2021 Jan 15:245:118948. doi: 10.1016/j.saa.2020.118948. Epub 2020 Sep 16.

Authors

Zhao Pan¹, Rui Hang Li², Yao Yao Cui³, Xi Jun Wu⁴, Yu Yan Zhang⁵, Yu Tian Wang⁶

Affiliations

¹ Key Lab of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Hebei Street West438#, Qinhuangdao, Hebei 066004, China. Electronic address: panzh_zach@hotmail.com.
² Key Lab of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Hebei Street West438#, Qinhuangdao, Hebei 066004, China. Electronic address: theseaa@stumail.ysu.edu.cn.
³ School of Information Science and Engineering, Yanshan University, Hebei Street West438#, Qinhuangdao, Hebei 066004, China. Electronic address: cuiyaoyao@stumail.ysu.edu.cn.
⁴ Key Lab of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Hebei Street West438#, Qinhuangdao, Hebei 066004, China. Electronic address: wuxijun@ysu.edu.cn.
⁵ Key Lab of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Hebei Street West438#, Qinhuangdao, Hebei 066004, China. Electronic address: yyzhang@ysu.edu.cn.
⁶ Key Lab of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Hebei Street West438#, Qinhuangdao, Hebei 066004, China. Electronic address: y.t.wang@163.com.

PMID: 32980759
DOI: 10.1016/j.saa.2020.118948

Abstract

Adulterated sesame oil seriously damages the interests of consumers and the health of market. In this paper, a simple, fast and real-time model for identifying adulterated sesame oil (ASO) was proposed by combining 3D fluorescence spectra with wavelet moments (WMs). First, noise and data volume of the experimental data were reduced by wavelet multiresolution decomposition (WMRSD), which improved the stability and real-time of the model. Next, WMs were used to extract the features of the 3D fluorescence spectra and proved to be effective by hierarchical clustering results. Then, the qualitative quality of WMs of the same orders, different orders and the combinations were evaluated by Dunn's validity index (DVI), and the rules were given, respectively. Finally, the target WMs for identifying ASO were determined. This model is simple and fast, and expandable to online measurement, providing a reference for identification and adulteration of vegetable oils.

Keywords: 3D fluorescence spectra; Dunn's validity index; Multi-resolution decomposition; Sesame oil; Wavelet moments.

MeSH terms

Cluster Analysis
Plant Oils*
Sesame Oil* / analysis
Spectrometry, Fluorescence

Substances

Plant Oils
Sesame Oil