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Cited by 379

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Applications of ATR-FTIR spectroscopic imaging to biomedical samples

Open access
Kazarian, S.G., Chan, K.L.A.·2006·Biochimica et Biophysica Acta (BBA) - Biomembranes

Abstract

FTIR spectroscopic imaging in ATR (Attenuated Total Reflection) mode is a powerful tool for studying biomedical samples. This paper summarises recent advances in the applications of ATR-FTIR imaging to dissolution of pharmaceutical formulations and drug release. The use of two different ATR accessories to obtain chemical images of formulations in contact with water as a function of time is demonstrated. The innovative use of the diamond ATR accessory allowed in situ imaging of tablet compaction and dissolution. ATR-FTIR imaging was also applied to obtain images of the surface of skin and the spatial distribution of protein and lipid rich domains was obtained. Chemical images of cross-section of rabbit aorta were obtained using a diamond ATR accessory and the possibility of in situ imaging of arterial samples in contact with aqueous solution was demonstrated for the first time. This experiment opens an opportunity to image arterial samples in contact with solutions containing drug molecules. This approach may help in understanding the mechanisms of treatment of atherosclerosis.

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Metadata

Authors
Kazarian, S. G., & Chan, K. L. A.
Venue
Biochimica et Biophysica Acta (BBA) - Biomembranes
Publisher
Elsevier BV
Published
2006-07
Volume
1758
Issue
7
Pages
858-867
ISSN
0005-2736 (ISSN-L)
OpenAlex
W1967809548
Cited by
379
References
21
FWCI
5.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Applications of ATR-FTIR spectroscopic imaging to biomedical samples. https://app.cochat.ai/papers/10.1016/j.bbamem.2006.02.011
The paper
Kazarian, S. G., & Chan, K. L. A. (2006). Applications of ATR-FTIR spectroscopic imaging to biomedical samples. Biochimica et Biophysica Acta (BBA) - Biomembranes. https://doi.org/10.1016/j.bbamem.2006.02.011

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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.