期刊
FOOD CHEMISTRY
卷 343, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2020.128420
关键词
Fish oil; FT-IR; Multiple adulteration; Qualitative analysis; Quantitative analysis; Sequential strategy
资金
- National Key R&D program Intergovernmental/Hong Kong, Macao and Taiwan key projects [2019YFE0103800]
- National Key R&D Program of China [2017YFE0115400]
- China Agriculture Research System [CARS-36]
The study investigated the interference of nontarget adulterants on FT-IR-based quantitative analysis of target adulterants and proposed a sequential strategy to improve prediction accuracy. Results showed that quantitative models based on fusion of single and multiple adulteration data had lower precision, while discrimination analysis had high sensitivity and specificity.
The interference of nontarget adulterant on FT-IR-based target adulterant quantitative analysis was explored and a sequential strategy was proposed to improve the prediction accuracy of the quantitative analysis model. Based on the FT-IR data of fish oil adulterated with terrestrial animal lipid, PLS and PLS-DA results show that quantitative analysis modeled by multiple and single adulteration data do not apply to each other; quantitative models based on the fusion of single and multiple adulteration data were established and showed a low quantitative analysis precision (higher RSD); and the sensitivity and specificity of discrimination analysis for multiply and singly adulterated fish oils both all exceed 0.910. To enhance the detection accuracy, a sequential strategy was proposed; identifying singly or multiply adulterated fish oil and then quantifying the content of adulterant was considered an efficient approach.
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