Application of a multivariate technique to Raman spectra for quantification of body chemicals. Academic Article

abstract

• Raman spectroscopy is a highly specific technique for the identification of molecules by way of the associated characteristic spectra. The aim of this feasibility study is to assess the combination of the multivariate calibration technique of Partial Least-Squares with Raman spectroscopy for the estimation of glucose, lactic acid, and urea concentrations in the presence of each other in a water substrate. The instrument is a CCD-based Raman spectrometer utilizing the 514.5 nm argon laser line. The estimates for the analyte concentrations yielded a standard deviation of concentration residuals of 20.71 mg/dL for glucose, 12.92 mg/dL for lactic acid, and 19.07 mg/dL for urea.

authors

• Cote, Gerard

published proceedings

• IEEE Trans Biomed Eng

altmetric score

• 6

author list (cited authors)

• Goetz, M. J., Cot, G. L., Erckens, R., March, W., & Motamedi, M.

citation count

• 73

complete list of authors

• Goetz, MJ||Coté, GL||Erckens, R||March, W||Motamedi, M

publication date

• July 1995

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Biomedical Engineering  Journal

keywords

• Calibration
• Feasibility Studies
• Glucose
• Humans
• Lactates
• Lactic Acid
• Least-Squares Analysis
• Multivariate Analysis
• Spectrum Analysis, Raman
• Urea

PubMed Central ID

• 7622156

Digital Object Identifier (DOI)

• 10.1109/10.391172

start page

• 728

end page

• 731

volume

• 42

issue

• 7

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2F10.391172