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Comparison of Dual Beam Dispersive and FTNIR Spectroscopy for Lactate Detection.
Baishya, Nystha; Mamouei, Mohammad; Budidha, Karthik; Qassem, Meha; Vadgama, Pankaj; Kyriacou, Panayiotis A.
Affiliation
  • Baishya N; Research Centre for Biomedical Engineering, School of Engineering and Mathematical Sciences, University of London, Northampton Square, London EC1V 0HB, UK.
  • Mamouei M; Research Centre for Biomedical Engineering, School of Engineering and Mathematical Sciences, University of London, Northampton Square, London EC1V 0HB, UK.
  • Budidha K; Research Centre for Biomedical Engineering, School of Engineering and Mathematical Sciences, University of London, Northampton Square, London EC1V 0HB, UK.
  • Qassem M; Research Centre for Biomedical Engineering, School of Engineering and Mathematical Sciences, University of London, Northampton Square, London EC1V 0HB, UK.
  • Vadgama P; Interdisciplinary Research Centre (IRC) in Biomedical Materials, Queen Mary University of London, Mile End Road, London E1 4NS, UK.
  • Kyriacou PA; Research Centre for Biomedical Engineering, School of Engineering and Mathematical Sciences, University of London, Northampton Square, London EC1V 0HB, UK.
Sensors (Basel) ; 21(5)2021 Mar 08.
Article in En | MEDLINE | ID: mdl-33800350
Near Infrared (800-2500 nm) spectroscopy has been extensively used in biomedical applications, as it offers rapid, in vivo, bed-side monitoring of important haemodynamic parameters, which is especially important in critical care settings. However, the choice of NIR spectrometer needs to be investigated for biomedical applications, as both the dual beam dispersive spectrophotomer and the FTNIR spectrometer have their own advantages and disadvantages. In this study, predictive analysis of lactate concentrations in whole blood were undertaken using multivariate techniques on spectra obtained from the two spectrometer types simultaneously and results were compared. Results showed significant improvement in predicting analyte concentration when analysis was performed on full range spectral data. This is in comparison to analysis of limited spectral regions or lactate signature peaks, which yielded poorer prediction models. Furthermore, for the same region, FTNIR showed 10% better predictive capability than the dual beam dispersive NIR spectrometer.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lactic Acid / Spectroscopy, Near-Infrared Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2021 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lactic Acid / Spectroscopy, Near-Infrared Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2021 Type: Article