Literature DB >> 18033426

Blood analysis by Raman spectroscopy.

Annika M K Enejder, Tae-Woong Koo, Jeankun Oh, Martin Hunter, Slobodan Sasic, Michael S Feld, Gary L Horowitz.   

Abstract

Concentrations of multiple analytes were simultaneously measured in whole blood with clinical accuracy, without sample processing, using near-infrared Raman spectroscopy. Spectra were acquired with an instrument employing nonimaging optics, designed using Monte Carlo simulations of the influence of light-scattering-absorbing blood cells on the excitation and emission of Raman light in turbid medium. Raman spectra were collected from whole blood drawn from 31 individuals. Quantitative predictions of glucose, urea, total protein, albumin, triglycerides, hematocrit, and hemoglobin were made by means of partial least-squares (PLS) analysis with clinically relevant precision (r(2) values >0.93). The similarity of the features of the PLS calibration spectra to those of the respective analyte spectra illustrates that the predictions are based on molecular information carried by the Raman light. This demonstrates the feasibility of using Raman spectroscopy for quantitative measurements of biomolecular contents in highly light-scattering and absorbing media.

Entities:  

Year:  2002        PMID: 18033426     DOI: 10.1364/ol.27.002004

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  29 in total

1.  Estimating the concentration of urea and creatinine in the human serum of normal and dialysis patients through Raman spectroscopy.

Authors:  Maurício Liberal de Almeida; Cassiano Junior Saatkamp; Adriana Barrinha Fernandes; Antonio Luiz Barbosa Pinheiro; Landulfo Silveira
Journal:  Lasers Med Sci       Date:  2016-07-08       Impact factor: 3.161

2.  A multimodal spectroscopy system for real-time disease diagnosis.

Authors:  Obrad R Sćepanović; Zoya Volynskaya; Chae-Ryon Kong; Luis H Galindo; Ramachandra R Dasari; Michael S Feld
Journal:  Rev Sci Instrum       Date:  2009-04       Impact factor: 1.523

3.  Effect of photobleaching on calibration model development in biological Raman spectroscopy.

Authors:  Ishan Barman; Chae-Ryon Kong; Gajendra P Singh; Ramachandra R Dasari
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

4.  Wavelength selection-based nonlinear calibration for transcutaneous blood glucose sensing using Raman spectroscopy.

Authors:  Narahara Chari Dingari; Ishan Barman; Jeon Woong Kang; Chae-Ryon Kong; Ramachandra R Dasari; Michael S Feld
Journal:  J Biomed Opt       Date:  2011-08       Impact factor: 3.170

5.  Development of robust calibration models using support vector machines for spectroscopic monitoring of blood glucose.

Authors:  Ishan Barman; Chae-Ryon Kong; Narahara Chari Dingari; Ramachandra R Dasari; Michael S Feld
Journal:  Anal Chem       Date:  2010-11-04       Impact factor: 6.986

6.  Accurate spectroscopic calibration for noninvasive glucose monitoring by modeling the physiological glucose dynamics.

Authors:  Ishan Barman; Chae-Ryon Kong; Gajendra P Singh; Ramachandra R Dasari; Michael S Feld
Journal:  Anal Chem       Date:  2010-07-15       Impact factor: 6.986

7.  Noninvasive Monitoring of Blood Glucose with Raman Spectroscopy.

Authors:  Rishikesh Pandey; Santosh Kumar Paidi; Tulio A Valdez; Chi Zhang; Nicolas Spegazzini; Ramachandra Rao Dasari; Ishan Barman
Journal:  Acc Chem Res       Date:  2017-01-10       Impact factor: 22.384

8.  Discrimination of liver malignancies with 1064 nm dispersive Raman spectroscopy.

Authors:  Isaac J Pence; Chetan A Patil; Chad A Lieber; Anita Mahadevan-Jansen
Journal:  Biomed Opt Express       Date:  2015-07-02       Impact factor: 3.732

9.  Optical clearing in transcutaneous Raman spectroscopy of murine cortical bone tissue.

Authors:  Matthew V Schulmerich; Jacqueline H Cole; Kathryn A Dooley; Michael D Morris; Jaclynn M Kreider; Steven A Goldstein
Journal:  J Biomed Opt       Date:  2008 Mar-Apr       Impact factor: 3.170

Review 10.  Progress toward an in vivo surface-enhanced Raman spectroscopy glucose sensor.

Authors:  Olga Lyandres; Jonathan M Yuen; Nilam C Shah; Richard P VanDuyne; Joseph T Walsh; Matthew R Glucksberg
Journal:  Diabetes Technol Ther       Date:  2008-08       Impact factor: 6.118

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