[1] F. Rossi, A. Lendasse, D. Fran ois, V. Wertz, M. Verleysen, "Mutual information for the selection of relevant variables in spectrometric nonlinear modelling," Chemometr. Intell. Lab. 80(2), 215–226 (2006).
[2] G. Reich, "Near-infrared spectroscopy and imaging: Basic principles and pharmaceutical applications," Adv. Drug. Deliv. Rev. 57(8), 1109–1143 (2005).
[3] T. Rajalahti, O. M. Kvalheim, "Multivariate data analysis in pharmaceutics: A tutorial review," Int. J. Pharm. 417(1–2), 280–290 (2011).
[4] P. S. Jensen, J. Bak, "Near-infrared transmission spectroscopy of aqueous solutions: Influence of optical pathlength on signal-to-noise ratio," Appl. Spectrosc. 56(12), 1600–1606 (2002).
[5] A. Candolfi, R. De Maesschalck, D. L. Massart, P. A. Hailey, A. C. E. Harrington, "Identification of pharmaceutical excipients using NIR spectroscopy and SIMCA," J. Pharm. Biomed. Anal. 19(6), 923–935 (1999).
[6] R. J. Barnes, M. S. Dhanoa, S. J. Lister, "Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra," Appl. Spectrosc. 43(5), 772–777 (1989).
[7] Z. Xiaobo, Z. Jiewen, M. J. W. Povey, M. Holmes, M. Hanpin, "Variables selection methods in nearinfrared spectroscopy," Anal. Chim. Acta. 667(1–2), 14–32 (2010).
[8] N. Volpi, A. Mucci, L. Schenetti, "Stability studies of chondroitin sulfate," Carbohydr. Res. 315(3–4), 345–349 (1999).
[9] H. Zang, L. Li, F. Wang, Q. Yi, Q. Dong, C. Sun, J. Wang, "A method for identifying the origin of chondroitin sulfate with near infrared spectroscopy," J. Pharm. Biomed. Anal. 61, 224–229 (2012).
[10] K. Meyer, E. Davidson, A. Linker, P. Hoffman, "The acid mucopolysaccharides of connective tissue," Biochim. Biophys. Acta. 21(3), 506–518 (1956).
[11] L. C. F. Silva, "Isolation and purification of chondroitin sulfate," Advances in Pharmacology, Nicola V (Ed) 21–31, Academic Press (2006).
[12] B. Xu, Z. Wu, Z. Lin, C. Sui, X. Shi, Y. Qiao, "NIR analysis for batch process of ethanol precipitation coupled with a new calibration model updating strategy," Anal. Chim. Acta. 720, 22–28 (2012).
[13] Z. Wu, B. Xu, M. Du, C. Sui, X. Shi, Y. Qiao, "Validation of a NIR quantification method for the determination of chlorogenic acid in Lonicera japonica solution in ethanol precipitation process," J. Pharm. Biomed. Anal. 62(0), 1–6 (2012).
[14] H. Huang, H. Qu, "In-line monitoring of alcohol precipitation by near-infrared spectroscopy in conjunction with multivariate batch modeling," Anal. Chim. Acta. 707(1–2), 47–56 (2011).
[15] B. M. van den Hoogen, P. R. van Weeren, M. Lopes- Cardozo, L. M. G. van Golde, A. Barneveld, C. H. A. van de Lest, "A microtiter plate assay for the determination of uronic acids," Anal. Biochem. 257 (1), 107–111 (1998).
[16] M. Cesaretti, E. Luppi, F. Maccari, N. Volpi, "A 96- well assay for uronic acid carbazole reaction," Carbohydr. Polym. 54(1), 59–61 (2003).
[17] J. M rk, M. Andre, M. Karner, C. W. Huck, "Prospects for multivariate classification of a pharmaceutical intermediate with near-infrared spectroscopy as a process analytical technology (PAT) production control supplement," Eur. J. Pharm. Biopharm. 76(2), 320–327 (2010).
[18] J. Workman, L. Weyer, Practical Guide to Interpretive Near-Infrared Spectroscopy, CRC press (2007).
[19] H. Morita, T. Hasunuma, M. Vassileva, R. Tsenkova, A. Kondo, "Near infrared spectroscopy as high-throughput technology for screening of xylosefermenting recombinant saccharomyces cerevisiae strains," Anal. Chem. 83(11), 4023–4029 (2011).
[20] X. Bao, L. Dai, "Partial least squares with outlier detection in spectral analysis: A tool to predict gasoline properties," Fuel 88(7), 1216–1222 (2009).
[21] E. Furusj€o, A. Svenson, M. Rahmberg, M. Andersson, "The importance of outlier detection and training set selection for reliable environmental QSAR predictions," Chemosphere 63(1), 99–108 (2006).
[22] M. A. M. Silva, M. H. Ferreira, J. W. B. Braga, M. M. Sena, "Development and analytical validation of a multivariate calibration method for determination of amoxicillin in suspension formulations by near infrared spectroscopy," Talanta 89, 342–351 (2012).
[23] P. Valderrama, J. W. B. Braga, R. J. Poppi, "Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy," J. Agric. Food. Chem. 55(21), 8331–8338 (2007).
[24] B. Walczak, D. L. Massart, "Multiple outlier detection revisited," Chemometr. Intell. Lab. Syst. 41(1), 1–15 (1998).
[25] M. H. Zhang, J. Luypaert, J. A. Fernandez Pierna, Q. S. Xu, D. L. Massart, "Determination of total antioxidant capacity in green tea by near-infrared spectroscopy and multivariate calibration," Talanta 62(1), 25–35 (2004).
[26] T. Mehmood, K. H. Liland, L. Snipen, S. S b , "A review of variable selection methods in Partial Least Squares Regression," Chemometr. Intell. Lab. Syst. 118, 62–69 (2012).
[27] S. Cho, K. Kwon, H. Chung, "Varied performance of PLS calibration using different overtone and combination bands in a near-infrared region," Chemometr. Intell. Lab. Syst. 82(1–2), 104–108 (2006).