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Synergistic quantification of mixed insulin preparations using time domain NMR techniques
Date
2024-09-01
Author
Alam, Hani
Ozesme Taylan, Gozde
Yamalı, Cem
Öztop, Halil Mecit
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Diabetes patients often rely on tailored insulin therapies, necessitating precise blends of various insulin types to achieve optimal pharmacokinetic profiles, including the quantity and action duration of insulin absorption into the bloodstream. This study aimed to develop an accurate quantification method for mixed insulin preparations, consisting of Insulin-NPH and Insulin Regular in ratios varying between 0:100–100:0. Time Domain NMR (TD-NMR) techniques, T2 relaxation times, and T1T2 maps were used to analyze the mixtures. Individually, neither technique provided a reliable determination of insulin ratios. However, the integration of both methods through chemometrics has been proven to be a synergistic approach, yielding a robust quantification technique suitable for quality control in the assessment of mixed insulin drugs. This innovative combined TD-NMR method is non-invasive, cost-effective, and user-friendly, offering at the same time a significant potential for preventing health complications associated with improper insulin dosing. Furthermore, our work elucidates the broader applicability of converging multiple TD-NMR techniques for analyzing intricate mixtures.
Subject Keywords
Biotechnological drugs
,
Humulin
,
Insulin
,
Quality control
,
T1T2 maps
,
T2 relaxation
URI
https://hdl.handle.net/11511/109985
Journal
Journal of Pharmaceutical and Biomedical Analysis
DOI
https://doi.org/10.1016/j.jpba.2024.116260
Collections
Department of Food Engineering, Article
Citation Formats
IEEE
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MLA
BibTeX
H. Alam, G. Ozesme Taylan, C. Yamalı, and H. M. Öztop, “Synergistic quantification of mixed insulin preparations using time domain NMR techniques,”
Journal of Pharmaceutical and Biomedical Analysis
, vol. 247, pp. 0–0, 2024, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/109985.