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近红外光谱技术在花生品质分析中的应用 被引量:5

Application of Near Infrared Spectroscopy Technique in Peanut Quality Analysis
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摘要 采用近红外光谱分析技术对不同地区、不同品种的101份花生样品进行图谱分析,研究了花生水分、脂肪和蛋白含量的快速测定方法。结果表明:花生水分湿基含量分布为4.01%-10.93%.脂肪湿基含量为40.84%-62.81%,蛋白质湿基含量为22.47%-29.67%,分布梯度广,具有很好的代表性。建立了定标模型,为花生整粒的快速评价建立便捷的方法。 Different regions and different varieties of 101 peanuts samples were used to measure moisture, oil content and protein content hy near-infrared spectroscopy (NIRS) . Results showed that moisture was from 4.01% to 10.93%, oil content was from 40.84% to 62.81%, and protein content was from 22.47% to 29.67%. Results had wide graded distribution and good representative. Calibration mode was established for a convenient method to fast evaluation of whole peanuts.
出处 《粮油加工(电子版)》 2014年第6期30-33,共4页 Machinery for Cereals Oil and Food Processing Main Contents
关键词 花生 近红外光谱 定标模型 Peanut, Near-infrared spectroscopy, Calibration model
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