Geographical origin classification of peanuts and processed fractions using stable isotopes
文献类型： 外文期刊
作者： Wadood, Syed Abdul 1 ; Nie, Jing 1 ; Li, Chunlin 1 ; Rogers, Karyne M. 1 ; Zhang, Yongzhi 3 ; Yuan, Yuwei 1 ;
作者机构： 1.Minist Agr & Rural Affairs China, Zhejiang Acad Agr Sci, Inst Agroprod Safety & Nutr, Key Lab Informat Traceabil Agr Prod, Hangzhou 310021, Peoples R China
2.Univ Home Econ Lahore, Dept Nutr & Hlth Promot, Lahore, Pakistan
3.State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou 310021, Peoples R China
4.Natl Isotope Ctr, GNS Sci, 30 Gracefield Rd, Lower Hutt 5040, New Zealand
5.Zhejiang Acad Agr Sci, Inst Agroprod Safety & Nutr, Hangzhou 310021, Peoples R China
关键词： Peanut(Arachis hypogaeaL; ); Processing; Stable isotopes; Geographical origin; Chemometrics
期刊名称：FOOD CHEMISTRY-X （ 影响因子：6.1； 五年影响因子：6.4 ）
ISSN： 2590-1575
年卷期： 2022 年 16 卷
页码：
收录情况： SCI
摘要： This study investigates the use of stable isotopes (C, N, H, and O) to characterize the geographical origin of peanuts along with different peanut fractions including whole peanut kernel, peanut shell, delipidized peanuts and peanut oil. Peanut samples were procured in 2017 from three distinctive growing regions (Shandong, Jilin, and Jiangsu) in China. Peanut processing significantly influenced the delta 13C, delta 2H, and delta 18O values of different peanut fractions, whereas delta 15N values were consistent across all fractions and unaffected by peanut processing. Geographical differences of peanut kernels and associated peanut fractions showed a maximum variance for delta 15N and delta 18O values which indicated their strong potential to discriminate origin. Different geographical classifi-cation models (SVM, LDA, and k-NN) were tested for peanut kernels and associated peanut fractions. LDA achieved the highest classification percentage, both on the training and validation sets. Delipidized peanuts had the best classification rate compared to the other fractions.
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