Journal of Innovative Optical Health Sciences, 2018, 11 (2): 1850005, Published Online: Sep. 18, 2018  

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

Author Affiliations
1 Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Department of Optoelectronic Engineering, Jinan University, Guangzhou, China
2 Department of Biological Engineering, Jinan University, Guangzhou, China
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Lijun Yao, Weiqun Xu, Tao Pan, Jiemei Chen. Moving-window bis-correlation coe±cients method for visible and near-infrared spectral discriminant analysis with applications[J]. Journal of Innovative Optical Health Sciences, 2018, 11(2): 1850005.

References

[1] P. Williams, K. Norris, Near-Infrared Technology in the Agricultural and Food Industries, American Association of Cereal Chemists, USA (2001).

[2] Z. Seregely, T. Deak, G. D. Bisztray, “Distinguishing melon genotypes using NIR spectroscopy,” Chemometr. Intell. Lab. 72, 195–203 (2004).

[3] R. A. Viscarra Rossel, D. J. J. Walvoort, A. B. McBratney, L. J. Janik, J. O. Skjemstad, “Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties,” Geoderma 131, 59–75 (2006).

[4] H. Z. Chen, T. Pan, J. M. Chen, Q. P. Lu, “Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods,” Chemometr. Intell. Lab. 107, 139–146 (2011).

[5] T. Pan, M. M. Li, J. M. Chen, “Selection method of quasi-continuous wavelength combination with applications to the near-infrared spectroscopic analysis of soil organic matter,” Appl. Spectrosc. 68, 263–271 (2014).

[6] T. Pan, Y. Han, J. M. Chen, L. J. Yao, J. Xie, “Optimal partner wavelength combination method with application tonear-infrared spectroscopic analysis,” Chemometr. Intell. Lab. 156, 217–223 (2016).

[7] J. Y. Chen, H. Zhang, R. Matsunaga, “Rapid determination of the main organic acid composition of raw Japanese Apricot fruit juices using near-infrared spectroscopy,” J. Agric. Food Chem. 54, 9652–9657 (2006).

[8] Z. Y. Liu, B. Liu, T. Pan, J. D. Yang, “Determination of amino acid nitrogen in tuber mustard using near-infrared spectroscopy with waveband selection stability,” Spectrochim. Acta A, Mol. Biomol. Spectrosc. 102, 269–274 (2013).

[9] H. S. Guo, J. M. Chen, T. Pan, J. H. Wang, G. Cao, “Vis–NIR wavelength selection for nondestructive discriminant analysis of breed screening of transgenic sugarcane,” Anal. Methods 6, 8810–8816 (2014).

[10] A. C. Sousa, M. M. L. M. Lucio, O. F. Bezerra Neto, G. P. S. Marcone, A. F. C. Pereira, E. O. Dantas, W. D. Fragoso, M. C. U. Araujo, R. K. H. Galvao, “A method for determination of COD in a domestic wastewater treatment plant by using near-infrared reflectance spectrometry of seston,” Anal. Chim. Acta 588, 231–236 (2007).

[11] T. Pan, Z. H. Chen, J. M. Chen, Z. Y. Liu, “Near-Infrared spectroscopy with waveband selection stability for the determination of COD in sugar refinery wastewater,” Anal. Methods 4, 1046–1052 (2012).

[12] J. H. Jiang, R. J. Berry, H. W. Siesler, Y. Ozaki, “Wavelength interval selection in multicomponent spectral analysis by moving window partial leastsquares regression with applications to mid-infrared and near-infrared spectroscopic data,” Anal. Chem. 74, 3555–3565 (2002).

[13] J. Xie, T. Pan, J. M. Chen, H. Z. Chen, X. H. Ren, “Joint optimization of Savitzky–Golay smoothing models and partial least squares factors for nearinfrared spectroscopic analysis of serum glucose,” Chin. J. Anal. Chem. 38, 342–346 (2010).

[14] T. Pan, J. M. Liu, J. M. Chen, G. P. Zhang, Y. Zhao, “Rapid determination of preliminary thalassaemia screening indicators based on near-infrared spectroscopy with wavelength selection stability,” Anal. Methods 5, 4355–4362 (2013).

[15] Y. Han, J. M. Chen, T. Pan, G. S. Liu, “Determination of glycated hemoglobin using near-infrared spectroscopy,” Chemometr. Intell. Lab. 145, 84–92 (2015).

[16] L. J. Yao, N. Lyu, J. M. Chen, T. Pan, J. Yu, “Joint analyses model for total cholesterol and triglyceride in human serum with near-infrared spectroscopy,” Spectrochim. Acta A, Mol. Biomol. Spectrosc. 159, 53–59 (2016).

[17] M. Kim, Y. H. Lee, C. Han, “Real-time classification of petroleum products using near-infrared spectra,” Comput. Chem. Eng. 24, 513–517 (2000).

[18] L. Eriksson, E. Johansson, N. Kettaneh-Wold, J. Trygg, C. Wikstr€om, S. Wold, Multi- and Megavariate Data Analysis Part I: Basic Principles and Applications, Umetrics, Sweden (2006).

[19] X. L. Long, G. S. Liu, T. Pan, J. M. Chen, “Waveband selection of reagent-free determination for thalassemia screening indicators using Fourier transform infrared spectroscopy with attenuated total reflection,” J. Biomed. Opt. 19, 1–11 (2014).

[20] R. Galanello, A. Eleftheriou, J. Traeger-Synodinos, Prevention of Thalassaemias and other Haemoglobin Disorders, Team up Creations Ltd, Nicosia Cyprus (2003).

[21] X. M. Xu, Y. Q. Zhou, G. X. Luo, C. Liao, “The prevalence and spectrum of α and β thalassaemia in Guangdong Province: Implications for the future health burden and population screening,” J. Clin. Pathol. 57, 517–522 (2004).

[22] F. Xiong, M. Sun, X. Zhang, R. Cai, “Molecular epidemiological survey of haemoglobinopathies in the Guangxi Zhuang Autonomous Region of southern China,” Clin. Genet. 78, 139–148 (2010).

[23] A. Savitzky, M. J. E. Golay, “Smoothing and differentiation of data by simplied least squares procedures,” Anal. Chem. 36, 1627–1639 (1964).

[24] R. W. Kennard, L. A. Stone, “Computer-aided design of experiments,” Technometrics 11, 137–149 (1969).

[25] D. D. Claeys, T. Verstraelen, E. Pauwels, C. V. Stevens, M. Waroquier, V. V. Speybroeck, “Conformational sampling of macrocyclic alkenes using a Kennard-Stone-based algorithm,” J. Phys. Chem. A 114, 6879–6887 (2010).

[26] J. Workman, L. Weyer, Practical Guide to Interpretive Near-infrared Spectroscopy, CRC Press, USA (2008).

[27] J. H. Wang, M. Q. Zhang, G. Cao, “Evaluation of the agronomic characteristics of transgenic sugarcane resistant to herbicide,” Guangdong Agric. Sci. 9, 23–24 (2011).

[28] X. M. Li, M. X. Wang, T. H. Qin, C. Yang, Q. An, J. Zhang, “Genetic Transformation of Bt (cry1Ab) Gene into Sugarcane (Saccharum o±cinarum L.) Mediated by Agrobacterium tumefaciens,” Biotechnol. Bull. 2, 100–105 (2013).

Lijun Yao, Weiqun Xu, Tao Pan, Jiemei Chen. Moving-window bis-correlation coe±cients method for visible and near-infrared spectral discriminant analysis with applications[J]. Journal of Innovative Optical Health Sciences, 2018, 11(2): 1850005.

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