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Real-time near-infrared spectroscopic inspection system for adulterated sesame oil

机译:用于掺假芝麻油的实时近红外光谱检测系统

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Sesame seed oil is popular and expensive in Korea and has been often mixed with other less expensive vegetable oils. The objective of this research is to develop an economical and rapid adulteration determination system for sesame seed oil mixed with other vegetable oils. A recently developed inspection system consists of a light source, a measuring unit, a spectrophotometer, fiber optics, and a data acquisition module. A near-infrared transmittance spectroscopic method was used to develop the prediction model using Partial Least Square (PLS). Sesame seed oil mixed with a range of concentrations of corn, or perilla, or soybean oil was measured in 8 mm diameter glass tubes. For the model development, a correlation coefficient value of 0.98 was observed for corn, perilla, and soybean oil mixtures with standard errors of correlation of 6.32%, 6.16%, and 5.67%, respectively. From the prediction model, the correlation coefficients of corn oil, perilla oil, and soybean oil were 0.98, 0.97 and 0.98, respectively. The Standard Error of Prediction (SEP) for corn oil, perilla oil, and soybean oil were 6.52%, 6.89% and 5.88%, respectively. The results indicated that this system can potentially be used as a rapid non-destructive adulteration analysis tool for sesame seed oil mixed with other vegetable oils.
机译:芝麻油在韩国流行且昂贵,并且经常与其他更便宜的植物油混合。本研究的目的是为与其他植物油混合的芝麻籽油开发经济和快速的掺假测定系统。最近开发的检测系统包括光源,测量单元,分光光度计,光纤和数据采集模块。使用近红外透射光谱法使用局部最小二乘(PL)来开发预测模型。在8mm直径的玻璃管中测量芝麻油与一系列浓度的玉米浓度或大豆油混合。对于模型开发,对于玉米,紫苏和大豆油混合物观察到0.98的相关系数值,其标准误差分别为6.32%,6.16%和5.67%。从预测模型中,玉米油,紫苏油和大豆油的相关系数分别为0.98,0.97和0.98。玉米油,紫苏油和大豆油的预测(SEP)的标准误差分别为6.52%,6.89%和5.88%。结果表明,该系统可以用作与其他植物油混合的芝麻籽油的快速无损掺假分析工具。

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