title: [Noninvasive measurement of human serum protein concentration by near-infrared reflection spectra for tongue inspection].
abstract: In the present paper, a kind of noninvasive determination for human serum protein concentration of albumin, globulin and total protein was explored based on the technology of near-infrared reflectance spectra. Reflectance spectra on the tongue tip of 58 volunteers were collected. Because these is an nonlinear mapping relationship induced by the individual differences between these spectra data and serum protein concentration, SVM was used to establish quantitative regression models of 3 kinds of protein concentration respectively after the normalized spectral reflectance was calculated and the protein content statistics distribution of the sample set was analyzed. In addition, results of SVM were compared with that of PLS. The results show that the predictive effect for calibrated model of SVM is obviously better than that of PLS. Using SVM model to predict the prediction set, the correlation coefficients of ALB, GLB and TP are respectively 0.894, 0.931 and 0.863, and root mean square errors are 2.19, 1.93 and 4.38. So SVM can resist the impact of nonlinear factors among in-vivo determinations, and enhance the robustness of the models. Meanwhile it was also showed that the near infrared spectral information for tongue can relatively objectively reflect changes in human physiological and biochemical indexes, and this technology for noninvasive determination of serum protein concentration is highly feasible.
authors: State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China. lillyjiaxing@126.com
authors: Jia-Xing
authors: JX
authors: Li
authors: Ling
authors: L
authors: Lin
authors: Zhe
authors: Z
authors: Li
authors: Gang
authors: G
authors: Li
authors: Wei
authors: W
authors: Song
mesh_terms: D001798:Blood Proteins / Q000032:analysis*; D002138:Calibration; D006801:Humans; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D060388:Support Vector Machine; D014059:Tongue
chemical_list: D001798:Blood Proteins