Journal article
Inverse diffusion methods for data peak separation
Analytical biochemistry, Vol.167(1), pp.15-22
1987
DOI: 10.1016/0003-2697(87)90128-X
PMID: 3434792
Abstract
Previous methods for separation of overlapping data peaks include geometrical assessment and Fourier deconvolution. On the basis of inverse diffusion theory, we present new separation methods suitable for convenient programming and rapid calculation of Gaussian area contributions. Both continuum and discrete inverse diffusion models are described. Example computations are given for biological data: density gradient centrifugation, isoelectric focusing electrophoresis, and high-pressure liquid chromatography.
Details
- Title: Subtitle
- Inverse diffusion methods for data peak separation
- Creators
- R. Crandall - Reed CollegeM. McClellan - Reed CollegeS. Arch - Reed CollegeJ. Doenias - Reed CollegeR. Piper - Reed College
- Resource Type
- Journal article
- Publication Details
- Analytical biochemistry, Vol.167(1), pp.15-22
- Publisher
- Elsevier Inc
- DOI
- 10.1016/0003-2697(87)90128-X
- PMID
- 3434792
- ISSN
- 0003-2697
- eISSN
- 1096-0309
- Language
- English
- Date published
- 1987
- Academic Unit
- Molecular Physiology and Biophysics; Medicine Administration; Internal Medicine
- Record Identifier
- 9984297610502771
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