摘要
运用傅里叶变换近红外光谱仪,以二阶导数处理光学数据,用偏最小二乘法(Partial Least-Squares Regression,PLSR)进行统计分析,对58个外观形状不同的生菜样品建立了硝酸盐含量快速检测模型。其预测结果与国标方法相比相关系数为0.9819,检测相对误差在0.56%～6.79%范围内。该方法简单、快速,无需消耗任何试剂,可满足现场快速检测的需要。
Rapid determinaton mode of nitrate in vegetable was established by using near infrared spectroscopy (NIRS), withsecond derivative and partial least square regression (PLSR), the multi-correlation coefficient is 0.9819 compared with nationalstandard method and the standard error prediction is 0.56%～6.79%. The method is not only simple and rapid, but also suitablefor fast determination in worksite with no requirement of any chemical regent.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2004年第10期239-241,共3页
Food Science
关键词
生菜
近红外光谱
快速检测
硝酸盐
vegetable
near infrared spectroscopy (NIRS)
fast detection
nitrate
