Journal article
Partial least square analysis of lysozyme near-infrared spectra
Applied biochemistry and biotechnology, Vol.87(3), pp.153-163
06/2000
DOI: 10.1385/ABAB:87:3:153
PMID: 10982226
Abstract
Proteins possess strong absorption features in the combination range (5000-4000 cm−1) of the near infrared (NIR) spectrum. These features can be used for quantitative analysis. Partial least squares (PLS) regression was used to analyze NIR spectra of lysozyme with the leave-one-out, full cross-validation method. A strategy for spectral range optimization with cross-validation PLS calibration was presented. A five-factor PLS model based on the spectral range between 4720 and 4540 cm−1 provided the best calibration model for lysozyme in aqueous solutions. For 47 samples ranging from 0.01 to 10 mg/mL, the root mean square error of prediction was 0.076 mg/mL. This result was compared with values reported in the literature for protein measurements by NIR absorption spectroscopy in human serum and animal cell culture supernatants.
Details
- Title: Subtitle
- Partial least square analysis of lysozyme near-infrared spectra
- Creators
- Shih-Yao Hu - Department of Chemistry University of Iowa 52242 Iowa City IAAmy Lillquist - Department of Chemistry University of Iowa 52242 Iowa City IAMark Arnold - Department of Chemistry University of Iowa 52242 Iowa City IAJohn Wiencek - Department of Chemical and Biochemical Engineering University of Iowa 52242 Iowa City IA
- Resource Type
- Journal article
- Publication Details
- Applied biochemistry and biotechnology, Vol.87(3), pp.153-163
- Publisher
- Humana Press
- DOI
- 10.1385/ABAB:87:3:153
- PMID
- 10982226
- ISSN
- 0273-2289
- eISSN
- 1559-0291
- Language
- English
- Date published
- 06/2000
- Academic Unit
- Center for Biocatalysis and Bioprocessing; Fraternal Order of Eagles Diabetes Research Center; Chemistry
- Record Identifier
- 9984216571002771
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