[2] XIE J, PAN T, CHEN H ZH, et al.. Joint optimization of Savitzky-golay smoothing models and partial least squares factors for near-infrared spectroscopic analysis of serum glucose [J]. Chinese Joumal of Analytical Chemistry, 2010, 38(3): 342-346. (in Chinese)
[4] ISTVAN V N, KAROLY J K, JANOS M J, et al.. Application of near infrared spectroscopy to the determination of haemoglobin [J]. Clinica Chimica Acta, 1997, 264(1): 117-125.
[5] LEE Y, LEE S, IN J Y, et al.. Prediction of plasma hemoglobin concentration by near infrared spectroscopy [J]. J Korean Med Sci, 2008, 23(4): 674-677.
[6] SHAN X Q, CHEN L G, YUAN Y, et al.. Quantitative analysis of hemoglobin content in polymeric nanoparticles as blood substitutes using Fourier transform infrared spectroscopy [J]. J Mater Sci, 2010, 21(1): 241-249.
[9] PAN T, HASHIMOTO A, KANOU M. Development of a quantification system of ionic dissociative metabolites using an FT-IR/ATR method [J]. Bioprocess and Biosystems Engineering, 2003, 26(2): 133-139.
[10] JIANG J H, BERRY R J, SIESLER H W,et al.. Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data [J]. Analytical Chemistry, 2002, 74(14): 3555-3565.
[11] CHEN H Z, PAN T, CHEN J M, et al.. Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods [J]. Chemometrics and Intelligent Laboratory Systems, 2011, 107(1): 139-146.
[12] PAN T, CHEN Z H, CHEN J M, et al.. Near-infrared spectroscopy with waveband selection stability for the determination of COD in sugar refinery wastewater [J]. Analytical Methods, 2012, 4(4): 1046-1052.