基于siPLS的猕猴桃糖度近红外光谱检测  

Near Infrared Determination of Sugar Content in Kiwifruits Based on siPLS

作　　者：蔡健荣[1] 汤明杰[1] 吕强[1] 赵杰文[1] 陈全胜[1] 

机构地区：[1]江苏大学食品与生物工程学院,江苏镇江212013

出　　处：《食品科学》2009年第4期250-253,共4页Food Science

基　　金：江苏省自然科学基金重大项目(BK2006707-1)

摘　　要：为了探寻一种快速无损检测猕猴桃糖度的方法,利用小波滤噪法对猕猴桃1000～2500nm近红外光谱进行了预处理,并用偏最小二乘法(PLS)、区间偏最小二乘法(iPLS)和联合区间偏最小二乘法(siPLS)分别建立预测模型。结果表明,采用联合区间偏最小二乘法将光谱划分为16个子区间,利用其中的第9、11、13号3个子区间联合建立的糖度模型效果最佳,其校正集相关系数和均方根误差分别为0.9414和0.3788。预测集相关系数和均方根误差分别为0.9295和0.3904,主因子数为7个。研究表明,用小波滤噪和联合区间偏最小二乘法所建立的猕猴桃糖度模型不但减少建模运算时间,剔除噪声过大的谱区,而且预测能力和精度均有所提高。In order to quest an approach to measure sugar content of kiwifruit rapidly and nondestructively,wavelet denoising was used to preprocess the near infrared(NIR) spectra(1000 to 2500 nm) of kiwifruit.Partial least square(PLS),interval partial least square(iPLS) and synergy interval partial least square(siPLS) methods were used to establish the calibration models of sugar content.Experimental results showed that the optimal siPLS model is obtained with 16 intervals and the optimal combinations of intervals ar...

关 键 词：近红外光谱 猕猴桃 糖度 联合区间偏最小二乘法 

分 类 号：S663.4[农业科学—果树学]