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Discrete combination method based on equidistant wavelength screening and its application to near-infrared analysis of hemoglobin

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Abstract

wavelength selection method for discrete wavelength combinations was developed based on equidistant combination-partial least squares (EC-PLS) and applied to a near-infrared (NIR) spectroscopic analysis of hemoglobin (Hb) in human peripheral blood samples. An allowable model set was established through EC-PLS on the basis of the sequence of the predicted error values. Then, the wavelengths that appeared in the allowable models were sorted, combined, and utilized for modeling, and the optimal number of wavelengths in the combinations was determined. The ideal discrete combination models were obtained by traversing the number of allowable models. The obtained optimal EC-PLS and discrete wavelength models contained 71 and 42 wavelengths, respectively. A simple and high-performance discrete model with 35 wavelengths was also established. The validation samples excluded from modeling were used to validate the three models. The root-mean-square errors for the NIR-predicted and clinically measured Hb values were 3.29, 2.86, and 2.90 g$L–1, respectively; the correlation coefficients, relative RMSEP, and ratios of performance to deviation were 0.980, 0.983, and 0.981; 2.7%, 2.3%, and 2.4%; and 4.6, 5.3, and 5.2, respectively. The three models achieved high prediction accuracy. Among them, the optimal discrete combination model performed the best and was the most effective in enhancing prediction performance and removing redundant wavelengths. The proposed optimization method for discrete wavelength combinations is applicable to NIR spectroscopic analyses of complex samples and can improve prediction performance. The proposed wavelength models can be utilized to design dedicated spectrometers for Hb and can provide a valuable reference for non-invasive Hb detection.

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DOI:10.1007/s12200-018-0804-2

所属栏目:RESEARCH ARTICLE

收稿日期:2018-01-31

修改稿日期:2018-04-02

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作者单位    点击查看

Tao Pan:Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China
Bingren Yan:Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China
Jiemei Chen:Department of Biological Engineering, Jinan University, Guangzhou 510632, China
Lijun Yao:Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China

联系人作者:Tao Pan(tpan@jnu.edu.cn)

备注:Tao Pan is a professor and Ph.D. supervisor in Department of Optoelectronic Engineering at Jinan University. He received his B.S. degree of mathematics from Sichuan University, China, and his Ph.D. degree of biological information engineering from Mie University, Japan. He is director of Applied Spectroscopy Laboratory at Jinan University, College of Science and Engineering. He is engaged in studies of spectroscopy, biomedical information, chemometrics, pattern recognition and partial differential equations, and so on. He has published more than 90 peer reviewed papers. He has received four academic awards issued by the Ministry of Personnel of the People’s Republic of China and Guangxi Province, and won the honors of “First batch of 100 outstanding overseas students” issued by the Ministry of Education of the People’s Republic of China, etc.

【1】Cantor C R, Schimmel P R. Biophysical Chemistry.New York: W. H. Freeman and Company, 1980

【2】Anand I, McMurray J J V, Whitmore J, Warren M, Pham A, McCamish M A, Burton P B. Anemia and its relationship to clinical outcome in heart failure. Circulation, 2004, 110(2): 149–154

【3】Reeves J T, Leon-Velarde F. Chronic mountain sickness: recent studies of the relationship between hemoglobin concentration and oxygen transport. High Altitude Medicine & Biology, 2004, 5(2): 147–155

【4】Weatherall D J, Edwards J A, Donohoe W T. Haemoglobin and red cell enzyme changes in juvenile myeloid leukaemia. British Medical Journal, 1968, 1(5593): 679–681

【5】Machovec K A, Jaquiss R D B, Kaemmer D D, AmesWA, Homi H M,Walczak R J Jr, Lodge A J, Jooste E H. Cardiopulmonary bypass strategy for a cyanotic child with hemoglobin SC disease. The Annals of thoracic surgery, 2016, 101(6): 2373–2375

【6】Messina A, Fogliani A M. Alexithymia in oncological patients: the role of hemoglobin, malignancy type and tumor staging. European Neuropsychopharmacology, 2011, 21(8): S174–S175

【7】Phrommintikul A, Haas S J, Elsik M, Krum H. Mortality and target haemoglobin concentrations in anaemic patients with chronic kidney disease treated with erythropoietin: a meta-analysis. Lancet, 2007, 369(9559): 381–388

【8】Vályi-Nagy I, Kaffka K J, Jákó J M, Gonczol E, Domján G. Application of near infrared spectroscopy to the determination of haemoglobin. Clinica Chimica Acta, 1997, 264(1): 117–125

【9】Lee Y, Lee S, In J, Chung S H, Yon J H. Prediction of plasma hemoglobin concentration by near-infrared spectroscopy. Journal of Korean Medical Science, 2008, 23(4): 674–677

【10】Shan X, Chen L, Yuan Y, Liu C, Zhang X, Sheng Y, Xu F. Quantitative analysis of hemoglobin content in polymeric nanoparticles as blood substitutes using Fourier transform infrared spectroscopy. Journal of Materials Science: Materials in Medicine, 2010, 21(1): 241–249

【11】Macknet M R, Allard M, Applegate R L 2nd, Rook J. The accuracy of noninvasive and continuous total hemoglobin measurement by pulse CO-Oximetry in human subjects undergoing hemodilution. Anesthesia and Analgesia, 2010, 111(6): 1424–1426

【12】Butwick A, Hilton G, Carvalho B. Non-invasive haemoglobin measurement in patients undergoing elective Caesarean section. British Journal of Anaesthesia, 2012, 108(2): 271–277

【13】Jiang J H, Berry R J, Siesler H W, Ozaki Y. Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data. Analytical Chemistry, 2002, 74(14): 3555–3565

【14】Du Y P, Liang Y Z, Jiang J H, Berry R J, Ozaki Y. Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squares. Analytica Chimica Acta, 2004, 501(2): 183–191

【15】Chen H Z, Pan T, Chen J M, Lu Q P. Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods. Chemometrics and Intelligent Laboratory Systems, 2011, 107(1): 139–146

【16】Pan T, Chen Z H, Chen J M, Liu Z Y. Near-infrared spectroscopy with waveband selection stability for the determination of COD in sugar refinery wastewater. Analytical Methods, 2012, 4(4): 1046–1052

【17】Pan T, Liu JM, Chen JM, Zhang G P, Zhao Y. Rapid determination of preliminary thalassaemia screening indicators based on nearinfrared spectroscopy with wavelength selection stability. Analytical Methods, 2013, 5(17): 4355–4362

【18】Pan T, Li M M, Chen J M, Xue H Y. Quantification of glycated hemoglobin indicator HbA1c through near-infrared spectroscopy. Journal of Innovative Optical Health Sciences, 2014, 7(4): 1350060

【19】Chen J M, Ai T, Pan T, Yao L J, Xia F G. AO–MW–PLS method applied to rapid quantification of teicoplanin with near-infrared spectroscopy. Journal of Innovative Optical Health Sciences, 2017, 10(1): 1650029

【20】Yao L J, XuWQ, Pan T, Chen JM. Moving-window bis-correlation coefficients method for visible and near-infrared spectral discriminant analysis with applications. Journal of Innovative Optical Health Sciences, 2018, 11(2): 1850005

【21】Pan T, Li M, Chen J. Selection method of quasi-continuous wavelength combination with applications to the near-infrared spectroscopic analysis of soil organic matter. Applied Spectroscopy, 2014, 68(3): 263–271

【22】Yao L, Lyu N, Chen J, Pan T, Yu J. Joint analyses model for total cholesterol and triglyceride in human serum with near-infrared spectroscopy. Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy, 2016, 159: 53–59

【23】Xie J, Pan T, Chen J M, Chen H Z, Ren X H. Joint optimization of Savitzky-Golay smoothing models and partial least squares factors for near-infrared spectroscopic analysis of serum glucose. Chinese Journal of Analytical Chemistry, 2010, 38(3): 342–346

【24】Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry, 1964, 36(8): 1627–1639

【25】Guo H S, Chen J M, Pan T,Wang J H, Cao G. Vis-NIR wavelength selection for non-destructive discriminant analysis of breed screening of transgenic sugarcane. Analytical Methods, 2014, 6(21): 8810–8816

引用该论文

Tao Pan,Bingren Yan,Jiemei Chen,Lijun Yao. Discrete combination method based on equidistant wavelength screening and its application to near-infrared analysis of hemoglobin[J]. Frontiers of Optoelectronics, 2018, 11(3): 296–305

Tao Pan,Bingren Yan,Jiemei Chen,Lijun Yao. Discrete combination method based on equidistant wavelength screening and its application to near-infrared analysis of hemoglobin[J]. Frontiers of Optoelectronics, 2018, 11(3): 296–305

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