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Moving-window bis-correlation coefficients method for visible and near-infrared spectral discriminant analysis with applications

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Journal of Innovative Optical Health Sciences 2018年第2期11卷 65-77页

作者： Lijun Yao Weiqun Xu Tao Pan Jiemei Chen Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications Department of Optoelectronic Engineering Jinan University GuangzhouChina Department of biological Engineering Jinan University GuangzhouChina

The moving window bis corelation coefficients(MW biCC)was proposed and employed for the discriminant analysis of transgenic sugarcane leaves and b-thalassemia with visible and near-infrared(Vis NIR)*** well-performed moving window principal component analysis linear discriminant analysis(MWPCA-LDA)was also conducted for comparison.A total of 306 transgenic(positive)and 150 nont ransgenic(negative)leave samples of sugarcane were collected and divided to calibration,prediction,and *** diffuse reflection spectra were corected using Savitzky-Golay(SG)smoothing with first-order derivative(d=1),third-degree polynomial(p=3)and 25 smpothing points(m=25).The selected waveband was 736-1054nm with MW-biCC,and the positive and negative validation recognition rates(V_REC^(+),VREC^(-))were 100%,98.0%,which achieved the same effect as *** example,the 93 b-thalassemia(positive)and 148 nonthalassemia(negative)of human hemolytic samples were *** transmission spectra were corrected using SG smoothing withd=1,p=3 and m=*** M W-biCC,many best wavebands were selected(e.g.,1116-1146,17941848 and 22842342nm).The V_REC^(+)and V_REC^(-)were both 100%,which achieved the same effect as ***,the bICC only required ca lculating correlation cofficients between the spectrum of prediction sample and the average spectra of two types of calibration ***,biCC was very simple in algorithm,and expected to obtain more *** results first confirmed the feasibility of distinguishing b-thalassemia and normal control samples by NIR spectroscopy,and provided a promising simple tool for large population thalassemia screening.

关键词： Visible and near infrared spectroscopic discriminant analysis transgenic sugarcane leaves b-thalassemia moving-window bis-correlation cofficients moving-window principal component analysis linear discriminant analysis.

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