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Cited by 373

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Differential scanning calorimetry: An invaluable tool for a detailed thermodynamic characterization of macromolecules and their interactions

Open access
Prenner, ElmarJ, Chiu, MichaelH·2011·Journal of Pharmacy And Bioallied Sciences

Abstract

Differential Scanning Calorimetry (DSC) is a highly sensitive technique to study the thermotropic properties of many different biological macromolecules and extracts. Since its early development, DSC has been applied to the pharmaceutical field with excipient studies and DNA drugs. In recent times, more attention has been applied to lipid-based drug delivery systems and drug interactions with biomimetic membranes. Highly reproducible phase transitions have been used to determine values, such as, the type of binding interaction, purity, stability, and release from a drug delivery mechanism. This review focuses on the use of DSC for biochemical and pharmaceutical applications.

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Crossref · 10.4103/0975-7406.76463

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Metadata

Authors
Prenner, E., & Chiu, M.
Venue
Journal of Pharmacy And Bioallied Sciences
Publisher
Medknow
Published
2011
Volume
3
Issue
1
Pages
39
ISSN
0975-7406 (ISSN-L)
OpenAlex
W2131566674
Cited by
373
References
87
FWCI
6.29
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Differential scanning calorimetry: An invaluable tool for a detailed thermodynamic characterization of macromolecules and their interactions. https://app.cochat.ai/papers/10.4103/0975-7406.76463
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Prenner, E., & Chiu, M. (2011). Differential scanning calorimetry: An invaluable tool for a detailed thermodynamic characterization of macromolecules and their interactions. Journal of Pharmacy And Bioallied Sciences. https://doi.org/10.4103/0975-7406.76463

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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.