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 Publication | Food Chemistry |
Issue | 420Pages:136161 |
If | 8.8 |
compositor | 第一作者单位 |
Document Type | 期刊论文 |
Identifier | http://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 Author | Li BQ(李宝琼); Pei D(裴栋); Huang XY(黄新异) |
Affiliation | 1.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 Affilication | Lanzhou 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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2023-A classificatio(2313KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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