Rapid detection of fumonisin B-1 and B-2 in ground corn samples using smartphone-controlled portable near-infrared spectrometry and chemometrics

文献类型： 外文期刊

第一作者： Shen, Guanghui

作者： Shen, Guanghui;Kang, Xiaocun;Su, Jianshuo;Qiu, Jianbo;Liu, Xin;Xu, Jianhong;Shi, Jianrong;Xu, Jianhong;Shi, Jianrong;Mohamed, Sherif Ramzy

作者机构：

关键词： Corn; Portable near-infrared spectrometer; Fumonisin; Rapid detection

期刊名称：FOOD CHEMISTRY （ 影响因子：9.231； 五年影响因子：8.795 ）

ISSN： 0308-8146

年卷期： 2022 年 384 卷

页码：

收录情况： SCI

摘要： A portable near-infrared (NIR) spectrometer coupled with chemometrics for the detection of fumonisin B-1 and B-2 (FBs) in ground corn samples was proposed in the present work. A total of 173 corn samples were collected, and their FB contents were determined by HPLC-MS/MS. Partial least squares (PLS), support vector machine (SVM) and local PLS based on global PLS score (LPLS-S) algorithms were employed to construct quantitative models. The performance of the SVM and LPLS-S was better than that of PLS, and the LPLS-S presented the lowest RMSEP (12.08 mg/kg) and the highest RPD (3.44). Partial least squares-discriminant analysis (PLS-DA) and support vector machine-discriminant analysis (SVM-DA) were used to classify corn samples according to the maximum residue limit (MRL) of FBs, and the discriminant accuracy of both the PLS-DA and SVM-DA algorithms was above 86.0%. Thus, the present study provided a rapid method for monitoring FB contamination in corn samples.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序