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A New Calibration Procedure for Gel Filtration Columns
Open accessAbstract
A new procedure for column calibration is described based on the assumption that microregions of nonexcluded volume within the gel are distributed randomly with respect to the sizes of molecules they can accommodate. This approach leads to a linear relationship between molecular radius and the inverse error function complement of the column partition coefficient. Excellent agreement of the relationship is obtained with experimental data over a wide range of molecular size as well as a diversity of molecular species and column bed materials. The new method is simple and convenient to use and has the advantage over previous methods in that it is not based on any hypothetical structures for the gel matrix.
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Citations
Cited by
MacLean-Fletcher, S., & Pollard, T. D. (1980) · Biochemical and Biophysical Research Communications · doi:10.1016/0006-291x(80)91175-4 · Cited by 465
Uversky, V. N. (1993) · Biochemistry · doi:10.1021/bi00211a042 · Cited by 437
Analytical Gel Chromatography of Proteins
Ackers, G. K. (1970) · Advances in Protein Chemistry · doi:10.1016/s0065-3233(08)60245-4 · Cited by 370
Self-citationWaxman, L., Fagan, J. M., & Goldberg, A. L. (1987) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)61525-x · Cited by 259
Bach, R., Gentry, R., & Nemerson, Y. (1986) · Biochemistry · doi:10.1021/bi00362a005 · Cited by 253
Metadata
- Authors
- Ackers, G. K.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 1967-07
- Volume
- 242
- Issue
- 13
- Pages
- 3237-3238
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W1533372454
- Cited by
- 412
- References
- 0
- FWCI
- 11.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ackers, G. K. (1967). A New Calibration Procedure for Gel Filtration Columns. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(18)95955-7
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
