Journal article
Comparison of multivariate calibration models for glucose, urea, and lactate from near-infrared and Raman spectra
Analytical and bioanalytical chemistry, Vol.387(3), pp.879-888
02/2007
DOI: 10.1007/s00216-006-1047-4
PMID: 17200856
Abstract
Partial least-squares (PLS) calibration models have been generated from a series of near-infrared (near-IR) and Raman spectra acquired separately from sixty different mixed solutions of glucose, lactate, and urea in aqueous phosphate buffer. Independent PLS models were prepared and compared for glucose, lactate, and urea. Near-IR and Raman spectral features differed substantially for these solutes, with Raman spectra enabling greater distinction with less spectral overlap than features in the near-IR spectra. Despite this, PLS models derived from near-IR spectra outperformed those from Raman spectra. Standard errors of prediction were 0.24, 0.11, and 0.14 mmol L−1 for glucose, lactate, and urea, respectively, from near-IR spectra and 0.40, 0.42, and 0.36 mmol L−1 for glucose, lactate, and urea, respectively, from Raman spectra. Differences between instrumental signal-to-noise ratios were responsible for the better performance of the near-IR models. The chemical basis of model selectivity was examined for each model by using a pure component selectivity analysis combined with analysis of the net analyte signal for each solute. This selectivity analysis showed that models based on either near-IR or Raman spectra had excellent selectivity for the targeted analyte. The net analyte signal analysis also revealed that analytical sensitivity was higher for the models generated from near-IR spectra. This is consistent with the lower standard errors of prediction.
Details
- Title: Subtitle
- Comparison of multivariate calibration models for glucose, urea, and lactate from near-infrared and Raman spectra
- Creators
- Min Ren - Department of Chemistry and Optical Science and Technology Center University of Iowa Iowa City IA 52242 USAMark Arnold - Department of Chemistry and Optical Science and Technology Center University of Iowa Iowa City IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Analytical and bioanalytical chemistry, Vol.387(3), pp.879-888
- Publisher
- Springer-Verlag
- DOI
- 10.1007/s00216-006-1047-4
- PMID
- 17200856
- ISSN
- 1618-2642
- eISSN
- 1618-2650
- Language
- English
- Date published
- 02/2007
- Academic Unit
- Center for Biocatalysis and Bioprocessing; Fraternal Order of Eagles Diabetes Research Center; Chemistry
- Record Identifier
- 9984216695802771
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