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作 者:明朗[1,2] 陈哲[1,2] 张军[1,2] 黄富荣[1,2] 谢梦圆[1,2] 汪勇[3] 王尔佩[3]
机构地区:[1]光电信息与传感技术广东普通高校重点实验室(暨南大学) [2]暨南大学光电工程系 [3]暨南大学食品科学与工程系
出 处:《光谱实验室》2013年第3期1418-1421,共4页Chinese Journal of Spectroscopy Laboratory
基 金:国家自然科学基金(61027010);广东省战略新兴产业核心技术攻关项目(2012A032300016)
摘 要:用近红外光谱分析方法对植物油中的甘油单酯,甘油二酯,甘油三酯和游离脂肪酸进行检测。采集77个油脂样品近红外光谱数据,其中67个样品为定标集,10个样品为预测集。用OPUS化学分析软件建立了偏最小二乘的优化模型。结果显示甘油单酯、甘油二酯、甘油三酯和游离脂肪酸的决定系数(R2)分别为0.9691、0.8627、0.8742和0.9194;4个组分的预测标准偏差(SEP)分别为0.0104、0.183、0.201和0.0106。结果表明,近红外光谱分析方法可用于对甘油二酯和甘油三酯的检测,对于甘油单脂和游离脂肪酸的检测,还需进一步实验验证。Utilizing the near-infrared spectroscopy, the monoglyceride, diglyceride, triglyceride and free fatty acids in vegetable oil was identified. The near-infrared spectrograms of 77 oil samples were collected, in which 67 samples for calibration set and 10 samples for prediction set. The PLS optimized models were estabilished with OPUS analysis software. The correlation coefficient of monoglyceride, diglyceride,triglyceride and free fatty acids were 0. 9691,0. 8627,0. 8742 and 0. 9194, respectively and the standard error of prediction of these four components were 0.0104,0. 183,0. 201 and 0. 0106 ,respectively. The results showed that NIR analysis can be used to identify the diglyceride and triglyceride. To the monoglyceride and free fatty acids components, further experimental verification is needed.
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