近红外光谱结合偏最小二乘法快速测定糖果中水分含量

摘要

A rapid and accurate method for the determination of moisture content in candy was established by near-infrared spectroscopy(NIR) combined with partial least squares(PLS).The near infrared diffuse reflectance spectra of 116 candies were collected in the spectral range of 12500～3600 cm-1,and the moisture content were measured by the method of hypobaric drying.By comparing the influence of different parameters on modeling,it was found that the quantitative analysis PLS model of moisture content in candy was the best when using the multiple scattering correction pretreatment method,in the range of 11682.2～9826.1,8939.0～6267.9,5378.8～4487.8 cm-1 and the principal component number was 15.The correlation coefficient of the model,the corrected root mean square error and the verified root mean square error were 0.9716,0.97％,1.03％ respectively.The method was accurate,reliable and easy to operate,and could be used for rapid determination of moisture content in candy.%采用近红外光谱(NIR)结合偏最小二乘法(PLS)建立了一种糖果中水分含量快速准确的测定方法.在12500～3600 cm-1光谱范围内采集116批糖果的近红外漫反射光谱,并用减压干燥失重法测定其水分含量.通过比较不同参数对建模的影响,发现用多元散射校正法进行预处理,在11682.2～9826.1、8939.0～6267.9、5378.8～4487.8 cm-1光谱范围内,主成分数为15时,应用PLS方法建立的糖果水分的定量分析模型效果最佳.所建立模型的相关系数为0.9716,校正均方根误差和验证均方根误差分别为0.97％和1.03％.该方法结果准确可靠、操作简便,可用于糖果中水分含量的快速检测.