可见-近红外光谱对花椰菜色泽的检测研究  

Visible-near Infrared Spectroscopy for Detection of Cauliflower Color

作　　者：穆炳宇 薛建新[1] 张淑娟[1] 吕森博 肖新盈 何长江 MU Bingyu;XUE Jianxin;ZHANG Shujuan;LV Senbo;XIAO Xinying;HE Changjiang(College of Agricultural Engineering,Shanxi Agricultural University,Jinzhong,Shanxi 030801,China)

机构地区：[1]山西农业大学农业工程学院,山西晋中030801

出　　处：《农产品加工》2021年第15期45-46,49,共3页Farm Products Processing

基　　金：国家自然科学基金青年基金项目(31801632);山西省高等学校科技创新项目(2019L0396)。

摘　　要：花椰菜色泽变化和品质密切相关,利用可见-近红外光谱技术对花椰菜的色泽L*值进行研究。结果表明,归一化为最佳预处理方法,使用连续投影算法提取光谱数据特征波长并建立偏最小二乘回归模型。预测模型的相关系数达到了0.9089,预测均方根误差为0.5411。说明可见-近红外光谱技术检测花椰菜的色泽L*值变化是可行的。The color change of cauliflower is closely related to its quality,and the L*value of cauliflower color was studied using visible/near infrared spectroscopy.The results showed that:normalization was the best preprocessing method,the continuous projection algorithm was used to extract the characteristic wavelengths of the spectral data and the partial least squares regression model was established.The correlation coefficient of the prediction model reached 0.9089,and the prediction root mean square error was 0.5411.Studies have shown that visible/near infrared spectroscopy technology was feasible to detect changes in the color L*value of cauliflower.

关 键 词：花椰菜 可见-近红外 光谱 色泽 无损检测 

分 类 号：O657.3[理学—分析化学]