Literature DB >> 11475287

Reagentless blood analysis by near-infrared Raman spectroscopy.

T W Koo1, A J Berger, I Itzkan, G Horowitz, M S Feld.   

Abstract

BACKGROUND: Raman spectroscopy has advantages over infrared absorption spectroscopy. Combined with a novel multivariate technique, hybrid linear analysis (HLA), low prediction error is expected.
METHODS: A near-infrared (NIR) light source excited Raman signals, and a charge coupled device (CCD) camera was used to collect the signal. Samples were collected from 69 individuals for 7 weeks. The standard multivariate calibration technique, partial least squares (PLS) and HLA were both used to analyze the collected spectra. A Clarke error grid was used to evaluate the usefulness of the glucose measurement in serum.
RESULTS: The root mean squared error of prediction (RMSEP) for glucose in serum obtained with PLS is 21 mg/dL, and the RMSEP obtained with HLA is 17 mg/dL. In whole blood, the PLS RMSEP for glucose was 79 mg/dL, and HLA predictions had an RMSEP of 63 mg/dL.
CONCLUSIONS: The measurement technique was robust over the 7-week period. HLA was shown to generate a lower prediction error than PLS. The predictions by both PLS and HLA were clinically acceptable. The result with whole blood requires further improvement.

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Year:  1999        PMID: 11475287     DOI: 10.1089/152091599317369

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  5 in total

1.  Raman spectroscopy of blood serum for Alzheimer's disease diagnostics: specificity relative to other types of dementia.

Authors:  Elena Ryzhikova; Oleksandr Kazakov; Lenka Halamkova; Dzintra Celmins; Paula Malone; Eric Molho; Earl A Zimmerman; Igor K Lednev
Journal:  J Biophotonics       Date:  2014-09-25       Impact factor: 3.207

Review 2.  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

3.  Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing.

Authors:  Surya P Singh; Soumavo Mukherjee; Luis H Galindo; Peter T C So; Ramachandra Rao Dasari; Uzma Zubair Khan; Raghuraman Kannan; Anandhi Upendran; Jeon Woong Kang
Journal:  Anal Bioanal Chem       Date:  2018-07-25       Impact factor: 4.142

Review 4.  Potential of Raman spectroscopy for the analysis of plasma/serum in the liquid state: recent advances.

Authors:  Drishya Rajan Parachalil; Jennifer McIntyre; Hugh J Byrne
Journal:  Anal Bioanal Chem       Date:  2020-01-03       Impact factor: 4.142

5.  Study of Two Constraints Impacting Measurements of Human Glycemia Using a Microwave Sensor.

Authors:  Mohamed Amine Zidane; Hichem Amar; Amar Rouane
Journal:  Biosensors (Basel)       Date:  2021-03-15
  5 in total

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