Near infrared spectroscopy(NIRS),coupled with principal component analysis and wavelength selection techniques,has been sed to develop a robust and reliable reduced-spectrum classifi-cation model for determining the g...Near infrared spectroscopy(NIRS),coupled with principal component analysis and wavelength selection techniques,has been sed to develop a robust and reliable reduced-spectrum classifi-cation model for determining the geographical origins of Nanfeng mandarins.The application of the changeable size moving window principal component analysis(CSMWPCA)provided a notably improved lassification model,with correct classification rates of 92.00%,100.00%,90.00%,100.00%,100.00%,100.00%and 100.00%for Fujian,Guangxi,Hunan,Baishe,Baofeng,Qiawan,Sanxi samples,respectively,as well as,a total dassification rate of 97.52%in the wavelength range from 1007 to 1296 nm.To test and apply the proposed method,the procedure was applied to the analysis of 59 samples in an independent test set.Good identification results(correct rate of 96.61%)were also received.The improvement achieved by the application of CSMWPCA method was particularly remarkable when taking the low complexities of the final model(290 variables)into account.The results of the study showed the great potential of NIRS as a fast,nondestructive and environmentally acceptable method for the rapid and reliable determination for geographical classifcation of Nanfeng mandarins.展开更多
A portable near infrared spectroscopy system was developed for assessing the quality of Nanfeng mandarin fruit.One hundred and fifty-three Nanfeng mandarin samples were used to measure the performance of the system.Se...A portable near infrared spectroscopy system was developed for assessing the quality of Nanfeng mandarin fruit.One hundred and fifty-three Nanfeng mandarin samples were used to measure the performance of the system.Several pretreatment methods were adopted to process the spectra.Then Support Vector Machine(SVM),Back Propagation Neural Network(BPNN)and Partial Least Square(PLS)were used to build models for soluble solids content(SSC),titratable acidity(TA),vitamin C and surface color.The best results were obtained by SVM.The correlation coefficient(R)and root mean square error of prediction(RMSEP)were(0.93,0.65°Brix),(0.66,0.09%),(0.81,2.7mg/100g)and(0.57,0.81)for SSC,TA,vitamin C and color,respectively.The results demonstrated that the portable near infrared spectroscopy was feasible for determining the Nanfeng mandarin quality nondestructively.展开更多
基金supported by General Administration of Quality Supervision,Inspection and Quarantine of the People's Republic of China (2012IK169)National Natural Science Youth Foundation of China (21205053).
文摘Near infrared spectroscopy(NIRS),coupled with principal component analysis and wavelength selection techniques,has been sed to develop a robust and reliable reduced-spectrum classifi-cation model for determining the geographical origins of Nanfeng mandarins.The application of the changeable size moving window principal component analysis(CSMWPCA)provided a notably improved lassification model,with correct classification rates of 92.00%,100.00%,90.00%,100.00%,100.00%,100.00%and 100.00%for Fujian,Guangxi,Hunan,Baishe,Baofeng,Qiawan,Sanxi samples,respectively,as well as,a total dassification rate of 97.52%in the wavelength range from 1007 to 1296 nm.To test and apply the proposed method,the procedure was applied to the analysis of 59 samples in an independent test set.Good identification results(correct rate of 96.61%)were also received.The improvement achieved by the application of CSMWPCA method was particularly remarkable when taking the low complexities of the final model(290 variables)into account.The results of the study showed the great potential of NIRS as a fast,nondestructive and environmentally acceptable method for the rapid and reliable determination for geographical classifcation of Nanfeng mandarins.
基金the National Natural Science Foundation of China(Grant No.60844007,60468002,30560064)New Century Excellent Talents in University(NCET-06-0575)+1 种基金National Science and Technology Support Plan(2008BAD96B04,2006BAD11A12-07)Natural Science Foundation of Jiangxi Provincial(2008GQN0029,2007GZN0266,2007-130).
文摘A portable near infrared spectroscopy system was developed for assessing the quality of Nanfeng mandarin fruit.One hundred and fifty-three Nanfeng mandarin samples were used to measure the performance of the system.Several pretreatment methods were adopted to process the spectra.Then Support Vector Machine(SVM),Back Propagation Neural Network(BPNN)and Partial Least Square(PLS)were used to build models for soluble solids content(SSC),titratable acidity(TA),vitamin C and surface color.The best results were obtained by SVM.The correlation coefficient(R)and root mean square error of prediction(RMSEP)were(0.93,0.65°Brix),(0.66,0.09%),(0.81,2.7mg/100g)and(0.57,0.81)for SSC,TA,vitamin C and color,respectively.The results demonstrated that the portable near infrared spectroscopy was feasible for determining the Nanfeng mandarin quality nondestructively.
