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《Food & Machinery》 2018-04
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Research on plastic material identification based on portable near infrared spectrometer

HAO Yong;WEN Qin-hua;RAO Min;CHEN Bin;School of Mechanotronics & Vehicle Engineering,East China Jiaotong University;School of Food and Biological Engineering,Jiangsu University;Ganzhou Entry-Exit Inspection and Quarantine Bureau;  
Portable NIR spectrometers was used for the identification of six kinds of food-contacted plastic material including polyethylene terephthalate(PET),high-density polyethylene(HDPE),low-density polyethylene(LDPE),polyvinyl chloride(PVC),polystyrene(PS)and polycarbonate(PC).Four kinds of spectral preprocessing methods including 5-point smoothing,multivariate scattering correction(MSC),first-order derivative and standard normal variable transformation(SNV)were used to preprocess the spectra of plastic samples.Principal component analysis(PCA)and partial least squares-discriminant analysis(PLS-DA)were used to analyze the spectral space distribution of plastic samples and establish qualitative discriminant models.The results showed that six kinds of food-contacted plastic material could be clearly separated in the first three principal component spaces after the pretreatment of SNV and MSC methods.The PLS-DA combined with SNV could be used to get a concise plastic material qualitative discriminant model,and the correct recognition rates(CRR)were 100% both for calibration and prediction datasets.The method was expected to be a reference method for rapid identification of food-contacted plastic materials.
【Fund】: 国家质量监督检验检疫总局科技计划项目(编号:2017IK012);; 国家自然科学基金项目(编号:21265006);; 江西省自然科学基金项目(编号:2015ZBAB201003)
【CateGory Index】: O657.33;TQ320.74
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