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当前位置: 首页 > 文章 > 基于近红外光谱的核桃仁蛋白质含量检测分析 农业机械学报 2017 (1) 407-411
Position: Home > Articles > Detection and Analysis of Walnut Protein Content Based on Near Infrared Spectroscopy Transactions of the Chinese Society for Agricultural Machinery 2017 (1) 407-411

基于近红外光谱的核桃仁蛋白质含量检测分析

作  者：
马文强;张漫;李忠新;杨莉玲
单  位：
新疆农业科学院农业机械化研究所;中国农业大学现代精细农业系统集成研究教育部重点实验室
关键词：
核桃仁;蛋白质含量;近红外光谱技术;光谱筛选;间隔偏最小二乘算法
摘  要：
为了实现核桃仁蛋白质的快速无损检测,采用近红外光谱技术,建立了核桃仁蛋白质含量预测模型,并对近红外光谱波段筛选方法进行了研究。首先针对3种不同粒度核桃仁样本,采集了1 040~2 560 nm范围全波段信息,采用多元散射校正法和标准正态化方法对原始光谱进行了预处理。然后,采用间隔偏最小二乘算法筛选了光谱特征波段,并建立了全波段和特征波段下核桃仁蛋白质含量偏最小二乘算法预测模型。通过对不同粒度核桃仁样本近红外光谱分析表明,核桃仁粒度大小对核桃仁蛋白质含量预测效果并无显著影响。采用间隔偏最小二乘算法的波段筛选,核桃整仁样本验证集的均方根误差和相关系数分别为0.021和0.913,表明该方法能够优化模型质量并降低模型复杂度。
译  名：
Detection and Analysis of Walnut Protein Content Based on Near Infrared Spectroscopy
作  者：
MA Wenqiang;ZHANG Man;LI Zhongxin;YANG Liling;Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University;Agricultural Mechanization Institute,Xinjiang Academy of Agricultural Sciences;
关键词：
walnut kernel;;protein content;;near infrared spectroscopy;;spectral screening;;interval partial least algorithm
摘  要：
In order to establish a rapid and nondestructive method for the detection of protein in walnut kernel,a prediction model for walnut protein content was established based on near infrared spectroscopy.Near infrared band selection method was also studied for optimizing protein content predicting model.Firstly,near infrared spectroscopy information of three different sized walnut samples in the full range of 1 040 ~ 2 560 nm was collected,and the pretreatment was completed by multiple scattering correction and standard normal method.Then the spectral characteristic bands were selected by interval partial least square algorithm,and the partial least squares prediction models were established at full bands ranging from 1 040 nm to 2 560 nm and selected feature bands,respectively.The spectral analysis results showed that the walnut size has no significant effect on the walnut protein content prediction using near infrared spectrum method.The root mean square error and the correlation coefficients of the optimized model were 0.021 and 0.913 in the whole walnut sample validation set,which indicated that the application of interval partial least algorithm could optimize the model quality and reduce the complexity.

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