A COMPREHENSIVE REVIEW ON METHOD DEVELOPMENT AND VALIDATION OF ANTI-DIABETIC DRUGS BY HPLC

High-performance liquid chromatography (HPLC) remains the cornerstone analytical technique for the assay, impurity profiling, stability testing and bioanalysis of anti-diabetic drugs. The expanding therapeutic classes biguanides, sulfonylureas, meglitinides, thiazolidinediones, DPP-4 inhibitors, SGLT2 inhibitors and GLP-1 analogues bring diverse chemical properties that challenge chromatographic separation and detection. This review summarizes method-development strategies and validation requirements for anti-diabetic pharmaceuticals using HPLC. Key topics include analyte physicochemistry and its implications for mobile phase and column selection, sample preparation approaches (including extraction and derivatization), choice of detection (UV, PDA, fluorescence, MS), gradient vs. isocratic strategies, forced-degradation/stability-indicating method development, and implementation of Analytical Quality by Design (AQbD) and green analytical principles. We discuss method validation according to regulatory guidelines (specificity, linearity, accuracy, precision, LOD/LOQ, robustness, system suitability and stability) and practical troubleshooting tips. Representative chromatographic conditions for common anti-diabetic drugs are summarized to aid rapid method transfer. Finally, we identify gaps particularly for new SGLT2 and GLP-1 analogues where more stability-indicating and LC-MS/MS methods are needed and propose future directions such as increased use of UHPLC, hyphenated MS detection for specificity, and adoption of AQbD for robust, scalable methods.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-01
DOI
https://doi.org/10.5281/zenodo.18440291
Citations
1
Primary Topic
Analytical Methods in Pharmaceuticals
Type
article
Field-Weighted Citation Impact
25.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A COMPREHENSIVE REVIEW ON METHOD DEVELOPMENT AND VALIDATION OF ANTI-DIABETIC DRUGS BY HPLC

K. Pravalika1*, M. Srikanth Reddy1, B. Gayatri1, Arunabha Mallik2
1 citations
Zenodo (CERN European Organization for Nuclear Research)
Analytical Methods in Pharmaceuticals
25.69
article

A COMPREHENSIVE REVIEW ON METHOD DEVELOPMENT AND VALIDATION OF ANTI-DIABETIC DRUGS BY HPLC

K. Pravalika1*, M. Srikanth Reddy1, B. Gayatri1, Arunabha Mallik2
article en
1 citations

Abstract

High-performance liquid chromatography (HPLC) remains the cornerstone analytical technique for the assay, impurity profiling, stability testing and bioanalysis of anti-diabetic drugs. The expanding therapeutic classes biguanides, sulfonylureas, meglitinides, thiazolidinediones, DPP-4 inhibitors, SGLT2 inhibitors and GLP-1 analogues bring diverse chemical properties that challenge chromatographic separation and detection. This review summarizes method-development strategies and validation requirements for anti-diabetic pharmaceuticals using HPLC. Key topics include analyte physicochemistry and its implications for mobile phase and column selection, sample preparation approaches (including extraction and derivatization), choice of detection (UV, PDA, fluorescence, MS), gradient vs. isocratic strategies, forced-degradation/stability-indicating method development, and implementation of Analytical Quality by Design (AQbD) and green analytical principles. We discuss method validation according to regulatory guidelines (specificity, linearity, accuracy, precision, LOD/LOQ, robustness, system suitability and stability) and practical troubleshooting tips. Representative chromatographic conditions for common anti-diabetic drugs are summarized to aid rapid method transfer. Finally, we identify gaps particularly for new SGLT2 and GLP-1 analogues where more stability-indicating and LC-MS/MS methods are needed and propose future directions such as increased use of UHPLC, hyphenated MS detection for specificity, and adoption of AQbD for robust, scalable methods.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 1%
Analytical Methods in Pharmaceuticals
25.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.