HPTLC Driven Analytical Approaches for Antidiabetic Pharmaceuticals: A Detailed Review

Abstract

Background: Diabetes mellitus is a chronic disease affecting a large number of populations across the world, and it also requires management using anti-diabetic drugs. Various drugs such as metformin, vildagliptin, saxagliptin, sitagliptin, rosiglitazone, glipizide, and their combinations are commonly used for the treatment. Numerous pharmaceutical formulations are available in the market in combination forms as well. In order to ensure the quality, appropriate dosage, and regulatory compliance of these formulations, accurate and reliable analytical methods are essential.

Purpose: This review will provide comprehensive insight into HPTLC-based analytical approaches used for qualitative and quantitative analysis of anti-diabetic drugs in various pharmaceutical formulations.

Methods: This review critically summarizes the literature reporting HPTLC methods developed for the analysis of anti-diabetic drugs. Key aspects such as HPTLC method development, mobile phase and stationary phase selection, detection methods, and optimization strategies are discussed. Method validation parameters such as robustness, sensitivity, reproducibility, and accuracy are mentioned.

Results: The study demonstrated that the HPTLC method is a reliable and efficient analytical technique for the evaluation of anti-diabetic drugs due to its low cost, high reproducibility, minimal solvent consumption, and ability to analyze multiple samples simultaneously. For routine quality control and research applications, validated HPTLC methods have shown satisfactory performance.

Conclusion: HPTLC represents itself as a valuable tool for the qualitative as well as quantitative assessment of anti-diabetic formulations. This detailed review provides guidance for researchers as well as analysts in selecting and optimizing appropriate HPTLC protocols for research and quality control purposes. It also highlights the potential for further advancements in HPTLC-based drug analysis.

  • Page Number : 48-59
  • Published Date : 2026-05-15
  • Keywords
    HPTLC, Antidiabetic drugs, Analytical methods, Validation
  • DOI Number
    10.15415/jptrm.2025.132003
  • Authors
    Atul A. Shirkhedkar, Amod S. Patil, Inderbir Singh, Gurbinder Kaur, and Tejas Raju Jorvekar

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