title: Ion mobility spectrometry fingerprints: A rapid detection technology for adulteration of sesame oil.
abstract: A simple and rapid detection technology was proposed based on ion mobility spectrometry (IMS) fingerprints to determine potential adulteration of sesame oil. Oil samples were diluted by n-hexane and analyzed by IMS for 20s. Then, chemometric methods were employed to establish discriminant models for sesame oils and four other edible oils, pure and adulterated sesame oils, and pure and counterfeit sesame oils, respectively. Finally, Random Forests (RF) classification model could correctly classify all five types of edible oils. The detection results indicated that the discriminant models built by recursive support vector machine (R-SVM) method could identify adulterated sesame oil samples (⩾ 10%) with an accuracy value of 94.2%. Therefore, IMS was shown to be an effective method to detect the adulterated sesame oils. Meanwhile, IMS fingerprints work well to detect the counterfeit sesame oils produced by adding sesame oil essence into cheaper edible oils.
authors: Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan 430062, China; OCRI-Syscan Joint Laboratory of Applications of Ion Mobility Spectrometry on Oilseed and Edible oils, Wuhan 430062, China. Electronic address: liangxiao_zhang@hotmail.com.
authors: Liangxiao
authors: L
authors: Zhang
authors: Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China.
authors: Qian
authors: Q
authors: Shuai
authors: Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Key laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan 430062, China; Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan 430062, China; Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan 430062, China. Electronic address: peiwuli@oilcrops.cn.
authors: Peiwu
authors: P
authors: Li
authors: Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China; Key laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan 430062, China.
authors: Qi
authors: Q
authors: Zhang
authors: Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China; Key laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan 430062, China.
authors: Fei
authors: F
authors: Ma
authors: Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan 430062, China.
authors: Wen
authors: W
authors: Zhang
authors: Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan 430062, China.
authors: Xiaoxia
authors: X
authors: Ding
mesh_terms: D005506:Food Contamination / Q000032:analysis*; D010938:Plant Oils / Q000737:chemistry*; D012715:Sesame Oil / Q000737:chemistry*; D013057:Spectrum Analysis / Q000379:methods*
chemical_list: D010938:Plant Oils; D012715:Sesame Oil
keywords: Adulteration detection; Ion mobility spectrometry fingerprints; Random forests; Rapid detection technology; Recursive support vector machine; Sesame oil