近红外光谱法测定菜籽油中水分含量.pdf

CHINA OILS AND FATS
2010Vol.35No.3
检化發
近红外光谱法测定菜籽油中水分含量
王玲,李志西,于修烛,杜双奎
(西北农林科技大学食品科学与工程学院,西杨凌712100)
摘要:以菜耔油为试验材料,用千燥乙腩萃取菜籽油中水分,用傅里叶变換近红外光谱技术(FT
NIRS)结合偏最小二乘法(PLS)建立乙腑水分定量分析模型,并用乙腑水分模型间接预测菜将油水分
含量。结果表明:校正样品集的标准偏差(SEC)为0.0146,预测样品集的标准偏差(SEP)为0.039,
预测值与实测值的决定系数(R)为0.9216。菜将油水分含量用FT-NIRS分析和卡尔费休法测定
结果之间有良好的一致性,模型具有较高的预测能力,结果准确可靠,可代替常规分析方法。
关键词:近红外光语;莱耔油;水分;乙
中图分类号:T646.2
文献标志码:A
文章编号:1003-7969(2010)03-0074-04
Determination of moisture content in rapeseed oil
by near-infrared spectroscopy
WANG Ling, L Zhixi, YU Xiuzhu, DU Shuangkui
College of Food Science and Engineering, Northwest A & I University, Yangling712100, Shaanxi, China)
Abstract Rapeseed oil was used as a raw material, and the moisture in the rapeseed oil was extracted by
dry acetonitrile, then Fourier transform near-infrared spectroscopy(ft-nirs )combining partial least
squares method(PLS )was used to develop the moisture quantitative analysis model. The results showed
that the EC, SEP and coefficient of determination(R)were O0146,.039, and 0. 9216, respective-
ly. The model had high predictive ability to forecast the moisture content of rapeseed oil, and FT-NIRS
could replace the conventional analysis methods
Key words: near-infrared spectroscopy; rapeseed oil; moisture; acetonitrile
食用油水分含量是影响其品质的重要指标之分含量测定方法操作繁琐,难以实现大批量的快速
,同时也是油脂发生氧化酸败的诱因。传统的水检测。因此,研究快速、准确检测食用油水分的方
法具有十分重要的意义。近红外技术(NR)是20
收稿日期:2009-01-20;修回日期:2009-12-09
世纪70年代后发展起来的一种具有无损、快速、准
基金项目:西北农林科技大学青年学术骨干支持计划
作者简介:王玲(1985),女,硕士研究生,主要从事功能性
确、简便等特点的分析技术,被广泛应用于农产品、
油脂及其抗氧化性研究工作。
食品、药物和化工产品的定性与定量分析-】。食
通讯作者:于修烛,副教授,博士。
用油是由C、H、O基团组成的,在近红外光谱中有振
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