MedElevator Войти в исследования
← Поиск публикаций
Current drug research reviews · 2026

Method Development for Simultaneous Quantification of Anti-diabetic Drugs in Combined Solid Dosage Form: A Focus on Sulfonylureas, Biguanides, and Thiazolidinediones.

СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Sharma Shubham, Das Rina, Mehta Dinesh Kumar

Аннотация

Diabetes mellitus is a chronic metabolic disorder affecting millions worldwide, necessitating the effective management of blood glucose levels through anti-diabetic medications. Sulfonylureas and Biguanides, particularly Gliclazide, Glimepiride, Glipizide, Glibenclamide, and Metformin, are commonly used in combination therapies for improved glycemic control. Several methods, including UV spectrophotometry, high-performance liquid chromatography, high-performance thin-layer chromatography, micellar chromatography, and liquid chromatography-mass spectrometry, were assessed for their effectiveness. This study evaluates various analytical techniques employed to ensure the quality, efficacy, and safety of these formulations, under the ICH guidelines. RP-HPLC emerged as the most reliable technique, demonstrating superior sensitivity, precision, and linearity, with optimized retention times and low detection limits. LC-ESI-MS/MS exhibited the highest sensitivity, precision, and linearity, making it suitable for pharmacokinetic studies. Spectrophotometric and electrochemical methods provided cost-effective alternatives but lacked sensitivity. RP-HPLC and MS-based techniques can enhance data processing efficiency. These advancements will strengthen pharmaceutical quality control, ensure the safety and efficacy of anti-diabetic drug formulations, while optimizing therapeutic outcomes for diabetes management.

Предметные рубрики MeSH