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Application of Near Infrared Reflectance Spectroscopy on Determination of Moisture, Total oil and Protein Contents of In-shell Peanuts

机译:近红外反射光谱法在壳体花生中测定水分,总油脂和蛋白质含量的应用

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Moisture, total oil and protein content of peanuts are important factors in peanut grading. A method that could rapidly and nondestructively measure these parameters for in-shell peanuts would be very useful. In this work, NIR reflectance spectroscopy was used to analyze the moisture, total oil and protein content of Virginia type in-shell peanuts. NIR absorbance spectra were collected in the region from 400 nm to 2500 nm using a Foss NIR instrument. Average values of moisture and total oil contents of all samples were determined by standard air-oven and Soxtec methods, respectively. Protein was measured using a Leco Nitrogen analyser. Partial Least Squares (PLS) analysis was done on the spectral data to develop empirical models to be used for prediction. The best model was selected based on the coefficient of determination (R2), Standard Error of Prediction (SEP) and the Residual Percent Deviation (RPD) values.
机译:水分,花生的总油和蛋白质含量是花生分级的重要因素。一种方法可以迅速和无损地测量壳体花生的这些参数是非常有用的。在这项工作中,使用NIR反射光谱分析弗吉尼亚型壳体花生的水分,总油脂和蛋白质含量。使用FOSE NIR仪器将NIR吸光度光谱收集在400nm至2500nm的区域中。所有样品的水分和总油含量的平均值分别由标准的空中炉和苏克斯菌属方法测定。使用LeCo氮分析仪测量蛋白质。在光谱数据上完成局部最小二乘(PLS)分析,以开发用于预测的经验模型。基于确定系数(R2),预测标准误差(SEP)和残余百分比(RPD)值来选择最佳模型。

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