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作 者:胡谦 张九凯[1] 韩建勋[1] 邢冉冉 刘晗[1] 陈颖[1] HU Qian;ZHANG Jiukai;HAN Jianxun;XING Ranran;LIU Han;CHEN Ying(Chinese Academy of Inspection and Quarantine,Beijing 100176,China;School of Food and Health,Beijing Technology and Business University,Beijing 100048,China)
机构地区:[1]中国检验检疫科学研究院,北京100176 [2]北京工商大学食品与健康学院,北京100048
出 处:《食品科学》2021年第2期235-240,共6页Food Science
基 金:“十三五”国家重点研发计划重点专项(2017YFF0211301,2018YFC1603504)。
摘 要:基于超高效液相色谱-四极杆飞行时间-质谱技术的脂质组学方法,比较压榨和浸出油茶籽油的甘油酯组成。采用信息依赖采集模式共检出55种甘油酯,包括43种甘油三酯和12种甘油二酯,其中TAG 54∶3是压榨和浸出油茶籽油最主要的甘油酯,相对含量均超过了30%,相对含量差异不显著(P>0.05)。以55种甘油酯为变量参数建立无监督的主成分分析模型,压榨和浸出油茶籽油在二维得分图上具有明显分类趋势。进一步建立有监督的正交偏最小二乘-判别分析模型,模型验证结果表明判别模型具有较高的解释度和预测度,可准确区分压榨和浸出油茶籽油。本研究为鉴别不同加工方式的高值植物油提供了一种新的研究思路。The glycerides compositions of pressed and extracted camellia oil were comparatively investigated by lipidomic ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS). A total of 55 glycerides, including 43 triacylglycerols(TAGs) and 12 diacylglycerols, were detected utilizing information dependent acquisition(IDA). TAG 54:3 was the most predominant triacylglycerol found in both pressed and extracted camellia oil, accounting for more than 30% of the total triacylglycerols, and its content differed but not significantly between the oils(P > 0.05). Unsupervised principal component analysis(PCA) was performed with 55 glycerides as variable parameters. The two-dimensional PCA score plot showed clear separation between the oils. Furthermore, a predictive model was established using supervised orthogonal partial least squares discriminant analysis(OPLS-DA) for distinguishing the oils. The validation results showed that model could accurately distinguish the pressed oil from the extracted camellia oil with good recognition ability and prediction ability. This study provides a new research idea for identifying high-value edible oils produced by different processing methods.
关 键 词:超高效液相色谱-四极杆飞行时间-质谱 压榨 浸出 油茶籽油 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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