摘要
采用近红外漫反射光谱技术对辽宁丹东蓝莓基地的六个蓝莓品种(埃利奥特、达柔、爱国者、北蓝、杜克、蓝丰)进行光谱分析,快速无损测定蓝莓可溶性固形物含量,利用一阶导数进行光谱预处理,主成分分析(PCA)和偏最小二乘法(PLS)建立蓝莓可溶性固形物预测模型。结果表明,所建模型的相关系数(Corr.Coeff.)为0.91518、校正集标准偏差(RMSEC)为0.801、预测集标准偏差(RMSEP)为1.06。该方法快速、准确、无损,能准确地预测蓝莓中可溶性固形物含量。
An analytical procedure has been developed for the rapid and non-destructive measurement of soluble solids content in blueberry samples using near infrared diffuse reflection spectrum.Six varieties of blueberries（＂Elliott＂,＂Darrow＂,＂Patriot＂,＂Duke＂,＂Northblue＂ and ＂Bluecrop＂）were selected,which collected from Liaoning.The original spectrum averaged was preprocessed by the 1st derivative.By means of principal component analysis（PCA） and partial least squares（PLS）,the calibration mathematics model for total soluble solids was established.The relative coefficient was 0.91518,the calibration standard deviation was 0.801,and the prediction standard deviation was 1.06.The method was rapid accurate and non-destructive,which was available for rapid accurate determination of SSC in blueberries.
出处
《食品工业科技》
CAS
CSCD
北大核心
2012年第1期340-341,369,共3页
Science and Technology of Food Industry
基金
国家林业公益性行业科研专项(200904014)
