期刊
FOOD CHEMISTRY
卷 286, 期 -, 页码 282-288出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2019.02.020
关键词
Food safety; Raman spectroscopy; Zearalenone; Chemometrics; Quantitative determination; Ant colony optimization
资金
- National Key Research and Development Program of China [2017YFC1600802]
- National Natural Science Foundation of China [31501216]
- China Postdoctoral Science Foundation [2016M600379]
- Natural Science Foundation of the Jiangsu Higher Education Institutions of China [16KJB550002]
- Jiangsu Planned Projects for Postdoctoral Research Funds [1601080B]
- Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology & Business University [BKBD-2016KF06]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
- Advanced Talents Science Foundation of Jiangsu University [15JDG169]
Zearalenone is a contaminant in food and feed products which are hazardous to humans and animals. This study explored the feasibility of the Raman rapid screening technique for zearalenone in contaminated maize. For representative Raman spectra acquisition, the ground maize samples were collected by extended sample area to avoid the adverse effect of heterogeneous component. Regression models were built with partial least squares (PLS) and compared with those built with other variable selection algorithms such as synergy interval PLS (siPLS), ant colony optimization PLS (ACO-PLS) and siPLS-ACO. SiPLS-ACO algorithm was superior to others in terms of predictive power performance for zearalenone analysis. The best model based on siPLS-ACO achieved coefficients of correlation (R-p) of 0.9260 and RMSEP of 87.9132 mu g/kg in the prediction set, respectively. Raman spectroscopy combined multivariate calibration showed promising results for the rapid screening large numbers of zearalenone maize contaminations in bulk quantities without sample-extraction steps.
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