Challenges in the noninvasive detection of body composition using near-infrared spectroscopy

Noninvasive detection of body composition plays a significant role in the improvement of life quality and reduction in complications of the patients, and the near-infrared (NIR) spectroscopy, with the advantages of painlessness and convenience, is considered as the most promising tool for the online noninvasive monitoring of body composition. However, quite different from other fields of online detection using NIR spectroscopy, such as food safety and environment monitoring, noninvasive detection of body composition demands higher precision of the instruments as well as more rigorousness of measurement conditions. Therefore, new challenges emerge when NIR spectroscopy is applied to the noninvasive detection of body composition, which, in this paper, are first concluded from the aspects of measurement methods, measurement conditions, instrument precision, multi-component influence, individual difference and novel weak-signal extraction method based on our previous research in the cutting-edge field of NIR noninvasive blood glucose detection. Moreover, novel ideas and approaches of our group to solve these problems are introduced, which may provide evidence for the future development of noninvasive blood glucose detection, and further contribute to the noninvasive detection of other body compositions using NIR spectroscopy.

[1]  Kexin Xu,et al.  The wavelength-dependent characteristic of the floating-reference point in the non-invasive glucose sensing , 2008, SPIE BiOS.

[2]  Kexin Xu,et al.  Influence of skin tissue properties on the radial reference point for glucose measurement , 2009, BiOS.

[3]  Kexin Xu,et al.  Influence of contact state on NIR diffuse reflectance spectroscopy in vivo , 2005 .

[4]  G. C. Marten,et al.  Quality Prediction of Small Grain Forages by Near Infrared Reflectance Spectroscopy 1 , 1983 .

[5]  Chen Xing-dan.  Possibility of noninvasive clinical biochemical examination by near infrared spectroscopy , 2008 .

[6]  Kexin Xu,et al.  Discussion on the validity of NIR spectral data in non-invasive blood glucose sensing , 2013, Biomedical optics express.

[7]  K. Dou,et al.  Prevalence of diabetes among men and women in China. , 2010, The New England journal of medicine.

[8]  Kexin Xu,et al.  Non-invasive glucose sensing with near-infrared spectroscopy enhanced by optical measurement conditions reproduction technique , 2005 .

[9]  K Xu,et al.  Fundamental study on non-invasive blood glucose sensing. , 2002, Journal of X-ray science and technology.

[10]  Huijuan Zhao,et al.  Effect on glucose monitoring of pressure exerted by fiber-optic probe: skin model and simulation , 2012, BiOS.

[11]  K. Booksh,et al.  Influence of Wavelength-Shifted Calibration Spectra on Multivariate Calibration Models , 2004, Applied spectroscopy.

[12]  Alejandro C. Olivieri,et al.  Net Analyte Preprocessing: A New and Versatile Multivariate Calibration Technique. Analysis of Mixtures of Rubber Antioxidants by NIR Spectroscopy , 2001 .

[13]  P. Steffes.  Laser-based measurement of glucose in the ocular aqueous humor: an efficacious portal for determination of serum glucose levels. , 1999, Diabetes technology & therapeutics.

[14]  Kexin Xu,et al.  A device to improve the SNR of the measurement of the positional floating reference point , 2013, Photonics West - Biomedical Optics.

[15]  E. V. Thomas,et al.  Noninvasive glucose monitoring in diabetic patients: a preliminary evaluation. , 1992, Clinical chemistry.

[16]  G. W. Small,et al.  Noninvasive glucose sensing. , 2005, Analytical chemistry.

[17]  Kexin Xu,et al.  A Reference-Wavelength-Based Method for Improved Analysis of Near-Infrared Spectroscopy , 2009, Applied spectroscopy.

[18]  F. Jöbsis.  Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. , 1977, Science.

[19]  Feng Chen,et al.  Research on the spectroscopy of turbid media with optical-length resolved detection , 2010, BiOS.

[20]  Simon Smyth,et al.  Diabetes and obesity: the twin epidemics , 2006, Nature Medicine.

[21]  Huijuan Zhao,et al.  Improved double-integrating-spheres system for multiwavelength optical properties measurement: investigation and application , 2009, BiOS.

[22]  Kexin Xu,et al.  Chance correlation in non-invasive glucose measurement using near-infrared spectroscopy , 2005 .

[23]  Kexin Xu,et al.  Combined optimal-pathlengths method for near-infrared spectroscopy analysis. , 2004, Physics in medicine and biology.

[24]  Y. Ozaki,et al.  In Vivo Noninvasive Measurement of Blood Glucose by Near-Infrared Diffuse-Reflectance Spectroscopy , 2003, Applied spectroscopy.

[25]  G. Coté,et al.  The use of polarized laser light through the eye for noninvasive glucose monitoring. , 1999, Diabetes technology & therapeutics.

[26]  Bin Deng,et al.  Next Step of Non-invasive Glucose Monitor by NIR Technique from the Well Controlled Measuring Condition and Results , 2004, The Second Asian and Pacific Rim Symposium on Biophotonics, 2004. APBP 2004..

[27]  R. Esenaliev,et al.  Noninvasive blood glucose monitoring with optical coherence tomography: a pilot study in human subjects. , 2002, Diabetes care.

[28]  Zhihui He,et al.  Determination of Tobacco Constituents with Acousto-Optic Tunable Filter-Near Infrared Spectroscopy , 2006 .

[29]  Katsuhiko Kuwa,et al.  Noninvasive measurement of glucose by metabolic heat conformation method. , 2004, Clinical chemistry.

[30]  Rafat R. Ansari,et al.  A non-invasive miniaturized-wireless laser-Doppler fiber optic sensor for understanding distal fingertip injuries in astronauts , 2009, BiOS.

[31]  Klaus Danzer,et al.  Application of Near-Infrared Spectroscopy for Non-Invasive Determination of Blood/Tissue Glucose Using Neural Networks , 1995 .

[32]  Huijuan Zhao,et al.  Artificial neural network method for determining optical properties from double-integrating-spheres measurements , 2010 .

[33]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[34]  Carlos Eduardo Ferrante do Amaral,et al.  Current development in non-invasive glucose monitoring. , 2008, Medical engineering & physics.