Rapid Survey of Total Protein Content in Mycelia of Oyster Mushroom Based on Near Infrared Spectroscopy  

近红外光谱法快速测量平菇菌丝总蛋白含量（英文）

作　　者：Jin LI Jiandong HAN Hongwei QIN Haixia REN Pengfei REN Luzhang WAN Qiang YAO Zhiyuan GONG 李瑾;韩建东;秦宏伟;任海霞;任鹏飞;万鲁长;姚强;宫志远(山东省农业科学院农业资源与环境研究所,山东济南250100;山东省农业科学院农业质量标准与检测技术研究所,山东济南250100)

机构地区：[1]Institute of Agricultural Resources and Environment, Shandong Academy of Agricuitural Sciences, Jinan 250100, China [2]Institute of Agricultural Quality Standard and Detection Technique, Shandong Academy of Agricultural Sciences, Jinan 250100, China

出　　处：《Agricultural Science & Technology》2017年第10期1916-1920,共5页农业科学与技术（英文版）

基　　金：Supported by Natural Science Foundation of Shandong Province(ZR2015PC003);Earmarked Fund for National Edible Mushroom Industrial System Construction:Jinan Comprehensive Test Station(CARS-24);Agricultural Improved Variety Project of Shandong Province(2014-2017);Key Laboratory of Wastes Matrix Utilization,Ministry of Agriculture;Shandong Provincial Key Laboratory of Agricultural Non-point Source Pollution Control and Prevention;Fund of Science and(Technology Innovative Engineering of Shandong Academy of Agricultural Sciences CXGC2017A01)~~

摘　　要：Using the total protein content in mycelia of oyster mushroom cultured in plate medium as the index, the spectral information in 1 000-1 799 nm region was collected to establish a quantitative prediction model for the parameters of strains through partial least squares regression combined with chemometrics. The results showed that the optimal spectral pretreatment method was the combination of Savitzky-Golay smoothing＋Savitzky-Golay derivative＋MSC＋Mean-Centefing. Parameters of the quantitative model including RC, SEC, RP, SEP, MF, SEP /SEC were all in the reasonable regions. The correlation coefficient of the real value and predictive value of the model was 0.672 63. The prediction model had better reliability, robustness and predictive effects, so it could be used for protein content detection in mycelia.该文以平菇平板培养菌丝总蛋白含量为指标,在1 000-1 799 nm近红外光谱区域采集光谱信息,采用化学计量学法建立菌株各参数的偏最小二乘法(PLS)定量预测模型。结果表明:最佳光谱预处理方法为SavitzkyGolay平滑+Savitzky-Golay导数+多元散射校正(MSC)+均值中心化,所建定量模型的校正集相关系数、校正标准差(SEC)、验证集相关系数、预测标准差(SEP)、主因子数、SEP/SEC均在合理范围,模型真实值与预测值的相关系数为0.672 63,模型可靠性、稳健性和预测效果较好,可用于菌丝蛋白质含量检测。

关 键 词：Near infrared spectroscopy Oyster. mushroom Protein content in mycelia Quantitative model 

分 类 号：S646.14[农业科学—蔬菜学]