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作 者:李雪婷 伊雄海 樊祥 蔡文瑄 邓晓军 郭德华 丁涛 柳菡 钮冰[1] 曾静 LI Xueting;YI Xionghai;FAN Xiang;CAI Wenxuan;DENG Xiaojun;GUO Dehua;DING Tao;LIU Han;NIU Bing;ZENG Jing(School of Life Sciences,Shanghai University,Shanghai 200444,China;Animal,Plant and Food Inspection and Quarantine Center,Shanghai Customs,Shanghai 200135,China;Animal,Plant and Food Testing Center,Nanjing Customs,Nanjing 210001,China)
机构地区:[1]上海大学生命科学学院,上海200444 [2]上海海关动植物与食品检验检疫中心,上海200135 [3]南京海关动植物与食品检测中心,江苏南京210001
出 处:《食品科学》2022年第8期317-323,共7页Food Science
基 金:“十三五”国家重点研发计划重点专项(2018YFC1603603);上海市技术标准专项(18DZ2201100);海关总署科研项目(2019HK099)。
摘 要:基于多元素含量分析结合化学计量学技术对特级初榨橄榄油和精炼橄榄油进行等级鉴别。结果表明,采用主成分分析可成功区分特级初榨橄榄油和精炼橄榄油,建立可靠的橄榄油等级鉴别的正交偏最小二乘法判别分析模型,结果与主成分分析一致,且各等级橄榄油组内聚类效果明显;聚类分析也有效鉴别了两种等级橄榄油。筛选出区分两个等级橄榄油的8种特征性元素,分别为Al、Fe、Cu、Ba、V、Sc、La、Zn。因此,采用多元素含量分析结合化学计量学技术可用于特级初榨橄榄油和精炼橄榄油的鉴别。Extra virgin olive oil and refined olive oil were evaluated by multi-element analysis combined with chemometrics.The results showed that principal component analysis(PCA)successfully distinguished extra virgin olive oil from refined olive oil,and a reliable orthogonal partial least squares discriminant analysis(OPLS-DA)model was established to identify the grade of olive oil.The results of OPLS-DA were consistent with those of PCA,and good clustering performance was observed on each grade of olive oil;cluster analysis also effectively discriminated the two grades of olive oil.Eight characteristic elements including Al,Fe,Cu,Ba,V,Sc,La and Zn were selected to distinguish them.Therefore,multi-element analysis combined with chemometrics can be used to discriminate extra virgin olive oil from refined olive oil.
关 键 词:特级初榨橄榄油 精炼橄榄油 元素 等级鉴别 化学计量学
分 类 号:TS227[轻工技术与工程—粮食、油脂及植物蛋白工程]
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