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Cited by 294

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

pH-Induced dissociation of bovine casein micelles. I. Analysis of liberated caseins

Dalgleish, Douglas G., Law, Andrew J. R.·1988·Journal of Dairy Research

Abstract

Summary: The dissociation of caseins of different types from casein micelles in milk, acidified to different pH values in the range 4·9–6·7, and at temperatures of 4, 20 and 30 °C, has been studied. In contrast to a number of previous findings, it was shown that caseins of all types were dissociated from the micelles, although in all cases β-casein was in highest concentration. The amounts and proportions of all of the caseins were found to be pH- and temperature-dependent, especially the former. Studies of the proportions of the different caseins liberated suggested that, at a defined temperature, the proportions of κ;- and α s2-caseins were independent of pH, while the proportions of β- and α sl-caseins were variable, changes in one being compensated by changes in the other. The manner in which the proportions of the α sl-casein and β-caseins changes with pH was found to be temperature-dependent.

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Metadata

Authors
Dalgleish, D. G., & Law, A. J. R.
Venue
Journal of Dairy Research
Published
1988-11
Volume
55
Issue
4
Pages
529-538
ISSN
  • 0022-0299 (ISSN-L)
  • 1469-7629
OpenAlex
W2080575202
Cited by
294
References
13
FWCI
7.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: pH-Induced dissociation of bovine casein micelles. I. Analysis of liberated caseins. https://app.cochat.ai/papers/10.1017/s0022029900033306
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Dalgleish, D. G., & Law, A. J. R. (1988). pH-Induced dissociation of bovine casein micelles. I. Analysis of liberated caseins. Journal of Dairy Research. https://doi.org/10.1017/s0022029900033306

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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.