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作 者:石婷[1] 陈倩 闫小丽 朱梦婷[1] 陈奕[1] 谢明勇[1] SHI Ting;CHEN Qian;YAN Xiaoli;ZHU Mengting;CHEN Yi;XIE Mingyong(State Key Laboratory of Food Science and Technology,Nanchang University,Nanchang 330047,China)
机构地区:[1]南昌大学食品科学与技术国家重点实验室,江西南昌330047
出 处:《食品科学》2018年第22期241-248,共8页Food Science
基 金:国家自然科学基金面上项目(31471647);江西省科技支撑计划项目(20152ACF60012);食品科学与技术国家重点实验室青年基金重点项目(SKLF-QN-201502);江西省青年科学家培养对象计划项目(20142BCB23005);南昌大学研究生创新专项(cx2016224)
摘 要:以纯茶油和掺假茶油(掺入大豆油、玉米油)作为核磁共振氢谱检测对象,结合化学计量学方法分析处理核磁数据,建立一种能快速预测茶油掺假的方法。结果表明:纯茶油和掺假茶油在主成分分析得分图上有较好地区分,且掺假样品随掺假比例在图中呈规律性分布,但少部分低体积分数的掺假油与纯茶油重叠。而采用偏最小二乘判别(partial least squares discriminant analysis,PLS-DA)法可以得到更好的分离效果,在该模型中,纯茶油的判别准确率为100%。进一步采用PLS可实现对茶油掺假水平的准确定量测定。该方法可简单、快速地用于茶油的掺假鉴别,在茶油品质控制及评价方面具有很大的应用潜力。In an effort to develop a new method for the rapid detection of camellia oil adulteration,pure camellia oil and adulterated camellia oil with soybean oil or corn oil were tested by proton nuclear magnetic resonance(1H NMR)spectroscopy,and then the obtained spectral data were analyzed by chemometric methods.The experimental results showed that pure and adulterated camellia oil could be clearly distinguished by principal component analysis(PCA).Moreover,the adulterated samples display regular distribution depending on the adulteration ratio.However,only a few samples at lower adulteration ratios were overlapped with pure camellia oil.The difference could be revealed by partial least squares discriminant analysis(PLS-DA)with 100%identification accuracy for pure camellia oil.Partial least squares(PLS)was further applied for the prediction of the adulteration level in camellia oil.The proposed method allowed accurate and fast detection of camellia oil adulteration,and showed a great application potential in quality control and evaluation of camellia oil.
关 键 词:茶油掺假 核磁共振氢谱(1H NMR) 主成分分析(PCA) 偏最小二乘判别(PLS-DA)法 偏最小二乘(PLS)法
分 类 号:TS225.1[轻工技术与工程—粮食、油脂及植物蛋白工程]
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