A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine
Department中科院西北特色植物资源化学重点实验室/甘肃省天然药物重点实验室
Lu CH(卢聪慧)1,2; Li BQ(李宝琼)2; Jing Q(景泉)1,2; Pei D(裴栋)4; Huang XY(黄新异)1,2
The second department药物工艺标准组
2023
Source PublicationFood Chemistry
Issue420Pages:136161
If8.8
compositor第一作者单位
Document Type期刊论文
Identifierhttp://ir.licp.cn/handle/362003/30260
Collection中科院西北特色植物资源化学重点实验室/甘肃省天然药物重点实验室
Corresponding AuthorLi BQ(李宝琼); Pei D(裴栋); Huang XY(黄新异)
Affiliation1.中国科学院兰州化学物理研究所中科院西北特色植物资源化学重点实验室/甘肃省天然药物重点实验室
2.中国科学院大学
3.五邑大学
4.云南油橄榄大健康产业创新研究发展公司
Corresponding Author AffilicationLanzhou Institute of Chemical Physics,Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Lu CH,Li BQ,Jing Q,et al. A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine[J]. Food Chemistry,2023(420):136161.
APA Lu CH,Li BQ,Jing Q,Pei D,&Huang XY.(2023).A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine.Food Chemistry(420),136161.
MLA Lu CH,et al."A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine".Food Chemistry .420(2023):136161.
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