Back to Search Start Over

Synergistic quantification of mixed insulin preparations using time domain NMR techniques.

Authors :
Alam, Hani
Ozesme Taylan, Gozde
Yamali, Cem
Oztop, Mecit H.
Source :
Journal of Pharmaceutical & Biomedical Analysis. Sep2024, Vol. 247, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

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, T 2 relaxation times, and T 1 T 2 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. [Display omitted] • Insulin drugs were mixed in various ratios to achieve distinct pharmacokinetic profiles. • The measurements were conducted by integrating T 2 relaxation and T 1 T 2 maps using MLR. • The integrated TD-NMR method demonstrated high predictability for mixture ratios. • TD-NMR is proposed as a low-cost, non-invasive method for the pharmaceutical industry. • This serves as a quality control method to prevent health issues related to dosage miscalculations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07317085
Volume :
247
Database :
Academic Search Index
Journal :
Journal of Pharmaceutical & Biomedical Analysis
Publication Type :
Academic Journal
Accession number :
177909090
Full Text :
https://doi.org/10.1016/j.jpba.2024.116260