您好，欢迎访问中国农业科学院 机构知识库！

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Authentication of Edible Oil by Real-Time One Class Classification Modeling

文献类型： 外文期刊

作者： Liu, Min 1 ; Wang, Xueyan 1 ; Yang, Yong 2 ; Tu, Fengqin 2 ; Yu, Li 1 ; Ma, Fei 1 ; Wang, Xuefang 1 ; Jiang, Xiaoming 2 ; Dou, Xinjing 1 ; Li, Peiwu 1 ; Zhang, Liangxiao 1 ;

作者机构： 1.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Qual Inspect & Test Ctr Oilseed Prod,Key Lab Biol, Oil Crops Res Inst,State Adm Market Regulat,Key La, Wuhan 430062, Peoples R China

2.Wuhan Inst Food & Cosmet Control, Wuhan 430040, Peoples R China

3.Henan Univ Sci & Technol, Coll Food & Bioengn, Luoyang 471000, Peoples R China

4.Hubei Hongshan Lab, Wuhan 430070, Peoples R China

关键词： edible oil; authentication; chemical marker; Monte Carlo; one-class partial least squares; model population analysis

期刊名称：FOODS （ 影响因子：5.1； 五年影响因子：5.6 ）

ISSN：

年卷期： 2025 年 14 卷 7 期

页码：

收录情况： SCI

摘要： Adulteration detection or authentication is considered a type of one-class classification (OCC) in chemometrics. An effective OCC model requires representative samples. However, it is challenging to collect representative samples from all over the world. Moreover, it is also very hard to evaluate the representativeness of collected samples. In this study, we blazed a new trail to propose an authentication method to identify adulterated edible oils without building a prediction model beforehand. An authentication method developed by real-time one-class classification modeling, and model population analysis was designed to identify adulterated oils in the market without building a classification model beforehand. The underlying philosophy of the method is that the sum of the absolute centered residual (ACR) of the good model built by only authentic samples is higher than that of the bad model built by authentic and adulterated samples. In detail, a large number of OCC models were built by selecting partial samples out of inspected samples using Monte Carlo sampling. Then, adulterated samples involved in the test of these good models were identified. Taking the inspected samples of avocado oils as an example, as a result, 6 out of 40 avocado oils were identified as adulterated and then validated by chemical markers. The successful identification of avocado oils adulterated with soybean oil, corn oil, or rapeseed oil validated the effectiveness of our method. The proposed method provides a novel idea for oils as well as other high-value food adulteration detection.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台