卢聪慧,胥玲花,黄新异,裴 栋,邸多隆.基于紫外可见光谱技术和色素组成区分橄榄油与其他食用油[J].食品安全质量检测学报,2023,14(5):130-137
基于紫外可见光谱技术和色素组成区分橄榄油与其他食用油
Distinguishing olive oil from other edible oils based on ultraviolet-visible spectroscopy and pigment compositions
投稿时间:2022-11-11  修订日期:2023-02-16
DOI:
中文关键词:  紫外可见光谱  食用油  色素  主成分分析  偏最小二乘法判别
英文关键词:ultraviolet-visible spectroscopy  edible oil  pigments  principal component analysis  partial least squares discriminant analysis
基金项目:国家重点研发计划项目(2019YFD1002403)、甘肃省重大专项(21ZD4NK045)、甘肃省重点研发计划项目(20YF3FA022)
作者单位
卢聪慧 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;中国科学院大学 
胥玲花 陇南市经济林研究院 
黄新异 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;中国科学院大学 
裴 栋 云南油橄榄大健康产业创新研究发展有限公司 
邸多隆 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;中国科学院大学 
AuthorInstitution
LU Cong-Hui Chinese Academy of Sciences Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences;University of Chinese Academy of Sciences 
XU Ling-Hua Longnan Economic Forestry Research Institute 
HUANG Xin-Yi Chinese Academy of Sciences Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences;University of Chinese Academy of Sciences 
PEI Dong Yunnan Olive Health Industry Innovation Research and Development Co., Ltd 
DI Duo-Long Chinese Academy of Sciences Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences;University of Chinese Academy of Sciences 
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中文摘要:
      目的 通过紫外可见光谱技术和色素组成, 探究区分橄榄油与其他食用油的方法。方法 选择市售橄榄油(特级初榨橄榄油、混合橄榄油)和其他食用油(菜籽油、玉米油、葵花籽油、大豆油、花生油、调和油)作为研究对象, 分别在220~800 nm的波长范围内进行全光谱扫描以及在波长为450 nm和670 nm处进行光度测量; 通过比较不同食用油的紫外可见吸收光谱并结合主成分分析(principal component analysis, PCA)和偏最小二乘法判别(partial least squares discriminant analysis, PLS-DA)对不同橄榄油和其他食用油进行比较区分。结果 通过观察比较各食用油紫外可见吸收光谱的最大吸收波长所在位置, 可以对不同食用油进行初步区分。并且PCA和PLS-DA结果显示, 以波长450 nm和670 nm处的吸光度A450和A670以及A450/A670为变量, 可用于区分不同橄榄油和其他食用油。结论 基于紫外可见光谱技术对不同食用油中色素的检测结果可以对食用油进行分类, 并且A450、A670和A450/A670可以作为区分橄榄油与其他食用油的标记。
英文摘要:
      Objective To investigate the method of distinguishing olive oil from other edible oils by ultraviolet-visible spectroscopy and pigment compositions. Methods Several commercially available olive oils (extra virgin olive oil and blend olive oil) and other edible oils (rapeseed oil, corn oil, sunflower oil, soybean oil, peanut oil, and blended oil) were selected as the subjects in this study. Meanwhile, full spectral scans in the wavelength range of 220-800 nm and photometric measurements at 450 nm and 670 nm were performed, respectively. By comparing the ultraviolet-visible spectra of different edible oils and combining with the principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), different olive oil and other edible oils were compared and distinguished. Results Different edible oils could be preliminarily distinguished by observing and comparing the location of the maximum absorption wavelengths of the ultraviolet-visible absorption spectra. Besides, the results of PCA and PLS-DA showed that the absorbances (A450 and A670) at 450 nm and 670 nm and A450/A670 could be used as variables to distinguish olive oil from other edible oils. Conclusion Based on the detection results of pigments in different edible oils by ultraviolet-visible spectroscopy, edible oils can be classified, and A450, A670 and A450/A670 can be used as markers to distinguish olive oil from other edible oils.
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