以近紅外線光譜檢測葵花油及玉米油對橄欖油之攙假   全文下載

Near Infrared Spectroscopic Determination of Olive Oil Adulteration with Sunflower and Corn Oil

近幾年來，由於消費者意識高漲，發展特級初榨橄欖油可能攙混廉價蔬菜油如葵花油之檢測技術，日益顯得重要。本研究著重於應用近紅外線光譜配合多重變數校正法，以檢測橄欖油之攙假。將純橄攬油及兩組（26種組合）攙有不同濃度（4~96%，v/v）葵花油與玉米油之橄欖油，進行近紅外線傳輸量測。利用基因且反轉最小平方法（GILS）所產生的多重變數校正模式，被應用於預測橄欖油樣品中的攙假濃度。整體而言，對於「橄欖油攙葵花油」及「橄欖油攙葵花油與玉米油」的預測標準差，分別介於2.49~2.88% （v/v）及1.42~6.38% （v/v）。

Determination of authenticity of extra virgin olive oils has become very important in recent years due to the increasing public concerns about possible adulterations with relatively cheap vegetable oils such as sunflower oil. This study was focused on the application of near infrared (NIR) spectroscopy in conjunction with multivariate calibration to identify the adulteration of olive oils. NIR transmittance measurements were made on pure olive oil and olive oil adulterated with varying concentrations (4-96%, v/v) of sunflower and corn oil in two sets of 26 binary and ternary mixtures. Multivariate calibration models were generated using genetic inverse least squares (GILS) method and used to predict the concentration of adulterants along with the concentration of olive oil in the samples. Over all, standard error of predictions ranged between 2.49 and 2.88% (v/v) for the binary mixtures of olive and sunflower oil and between 1.42 and 6.38% (v/v) for the ternary mixtures of olive, sunflower and corn oil.