食品与机械2016，Vol.32Issue(10)：115-119,163,6.DOI:10.13652/j.issn.1003-5788.2016.10.027
玉露香梨可溶性固形物近红外漫透射光谱在线检测
Online detection of soluble solids contents for "Yuluxiang" pear by visible-near infrared diffuse transmission spectroscopy
摘要
Abstract
The feasibility was investigated for online detection of soluble solids content (SSC) of "Yuluxiang" pear by visible-near infrared (visible-NIR) diffuse transmittance spectroscopy.358 samples were divided into the calibration and prediction sets (269 ∶ 89) for developing calibration models and assessing their performance.By analyzing,the Vis-NIR transmission spectra of ‘YuLuxiang'pears have three peaks at 625 nm,725 nm and 800 nm and three troughs at 625 nm,725 nm and 800 nm.respectively.Different preprocessing approaches were tested,it was found that the best approaches were the combination of first derivative (1D),smoothing and multiplicative scattering correction (MSC) preprocessing methods.The partial least square (PLS) regression and least square support vector machine (LS-SVM) models were developed with the pretreatment methods by the combination of first derivative (1D).smoothing and multiplicative scattering correction (MSC).The new samples of the prediction set were applied to evaluate the performance of the models.Compared with PLS model,the performance of LS-SVM model was better with the root mean square error of prediction (RMSEP) of 0.316％ and the correlation coefficient of prediction of 0.949.And the spectral dimension reduction method of principal component analysis (PCA) and the kernel function of radial basis function (RBF) were suitable to improve the predictive ability of the LS-SVM model.The results suggested that it was feasible for online detection of SSC of ‘ Yuluxiang'pear by visible-N1R diffuse transmission spectroscopy combined with LS-SVM algorithm.The online detection of soluble solids content (SSC) of "Yuluxiang" pear by visible-near infrared (visible-NIR) diffuse transmittance spectroscopy was demonstrated.关键词
近红外光谱/漫透射/玉露香梨/可溶性固形物/最小二乘支持向量机Key words
near infrared spectroscopy/diffuse transmittance/"Yuluxiang" pear/soluble solids content/least squares support vector machine引用本文复制引用
刘燕德,朱丹宁,吴明明,孙旭东,张智诚..玉露香梨可溶性固形物近红外漫透射光谱在线检测[J].食品与机械,2016,32(10):115-119,163,6.基金项目
“十二五”国家863计划课题(编号:SS2012AA101306) （编号:SS2012AA101306）
江西省优势科技创新团队建设计划项目(编号:20153BCB24002) （编号:20153BCB24002）
南方山地果园智能化管理技术与装备协同创新中心(编号:赣教高字[2014]60号) （编号:赣教高字[2014]60号）
