A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine
文献类型:期刊论文
作者 | Lu CH(卢聪慧)3,4; Li BQ(李宝琼)3; Jing Q(景泉)3,4; Pei D(裴栋)1; Huang XY(黄新异)3,4 |
刊名 | Food Chemistry |
出版日期 | 2023 |
期号 | 420页码:136161 |
源URL | [http://ir.licp.cn/handle/362003/30260] |
专题 | 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 |
通讯作者 | Li BQ(李宝琼); Pei D(裴栋); Huang XY(黄新异) |
作者单位 | 1.云南油橄榄大健康产业创新研究发展公司 2.五邑大学 3.中国科学院大学 4.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 |
推荐引用方式 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. |
入库方式: OAI收割
来源:兰州化学物理研究所
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