大豆油脂肪酸近红外模型的建立和品质鉴定

本文介绍了一种利用BRUKER MATRIX-I仪器快速检测和监控大豆油新鲜度及脂肪酸组分的新的检测方法。选择310份大豆油样品,新鲜度指标酸价(AV)、过氧化值(POV)和脂肪酸组分分别采用国标的方法检测,并结合近红外光谱进行定量模型的建立和验证。结果表明:新鲜度指标酸价、过氧化值及5种特征脂肪酸模型决定系数R2均接近1,其中酸价、过氧化值及亚油酸的模型决定系数R2>0.9,校正均方差(RMSECV)与预测均方差(RMSECP)数值接近,且两者均较理想。同时能够根据脂肪酸组分含量,对大豆油进行掺假鉴别,表明利用近红外光谱模型能够较好地监控大豆油的质量,从而保证原料的稳定性和安全性。

The establishment of fatty acid by near infrared model and quality identification of soybean oil

A new method was introduced to rapidly detect and monitor the freshness and fatty acid components of soybean oil with BRUKER MATRIX-I instrument.The freshness index of acid value(AV),peroxide value(POV)and fatty acid component of 310 soybean oil samples were detected by national standard,and the quantitative model was established and verified by near-infrared spectroscopy.The results showed that the determination coefficient R2 of AV,POV and 5 characteristic fatty acid were all close to 1,among which the determination coefficient R2 of AV,POV and linoleic acid were all above 0.9,and the values of corrected mean square deviation(RMSECV)and predicted mean square deviation(RMSECP)were close to each other,and both of them were ideal.At the same time,soybean oil could be adulterated according to the content of fatty acid components,which indicated that the use of near infrared could better monitor the quality of soybean oil,so as to ensure the stability and safety of raw materials.