Journal article
Temperature-independent near-infrared analysis of lysozyme aqueous solutions
Analytical chemistry (Washington), Vol.72(4), pp.696-702
2000
DOI: 10.1021/ac9907080
PMID: 10701252
Abstract
Digital Fourier filtering is used to produce a temperature- insensitive univariate calibration model for measuring lysozyme in aqueous solutions. Absorbance spectra over the 5000-4000 cm-1 spectral range are collected for lysozyme standards maintained at 14 °C. These spectra are used to compute the calibration model while a set of spectra collected at temperatures ranging from 4 to 24 °C are used to validate the accuracy of this model. The root-mean-square error of prediction (RMSEP) is 0.279 mg/mL over a tested lysozyme concentration range of 0.036-51.6 mg/mL. The detection limit is 0.68 mg/mL. In addition, multivariate calibration models based on partial least- squares regression (PLS) are evaluated and compared to the results from the univariate model. PLS outperforms the univariate model by providing a RMSEP of 0.090 mg/mL. Analysis of variance showed that both calibration methods effectively eliminate the adverse affects created by variations in solution temperature.
Details
- Title: Subtitle
- Temperature-independent near-infrared analysis of lysozyme aqueous solutions
- Creators
- Shih-Yao B HU - Department of Chemistry and Optical Science and Technology Center, University of Iowa, Iowa City, Iowa 52242, United StatesMark A Arnold - Department of Chemistry and Optical Science and Technology Center, University of Iowa, Iowa City, Iowa 52242, United StatesJohn M Wiencek - Department of Chemical and Biochemical Engineering and Optical Science and Technology Center, University of Iowa, Iowa City, Iowa 52242, United States
- Resource Type
- Journal article
- Publication Details
- Analytical chemistry (Washington), Vol.72(4), pp.696-702
- Publisher
- American Chemical Society
- DOI
- 10.1021/ac9907080
- PMID
- 10701252
- ISSN
- 0003-2700
- eISSN
- 1520-6882
- Language
- English
- Date published
- 2000
- Academic Unit
- Center for Biocatalysis and Bioprocessing; Fraternal Order of Eagles Diabetes Research Center; Chemistry
- Record Identifier
- 9984216673702771
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