Blue applicability grade index assessment and response surface modelling to synchronous determination of metformin hydrochloride, vildagliptin and dapagliflozin propanediol monohydrate by HPTLC method

Abstract Diabetes mellitus is major chronic disease found in human due to stressful lifestyle and bad food habit. Recently, the Central Drugs Standard Control Organization of India has approved combination of metformin hydrochloride, vildagliptin and dapagliflozin propanediol monohydrate for the management of diabetes mellitus. Numerous chromatographic methods have been published in the literature for estimation of these anti-diabetic drugs on individual basis and their combinations. But these chromatographic analyses promoted usage of toxic organic solvents which are harmful to the environment and aquatic animal lives. In addition, no chromatographic method was found in the literature for simultaneous estimation of these anti-diabetic drugs using green solvents. In recent days, white analytical chemistry approach has been introduced in the literature for development and assessment of green, accurate, precise, cost-effective and user-friendly chromatographic methods. Hence, white analytical chemistry-driven risk-based HPTLC method was developed for synchronous estimation of these anti-diabetic drugs using green solvents and response surface modelling. The analytical quality risk assessment was applied for identification of critical method variables and response variables using risk priority number ranking and filtering method. The critical method variables were linked with critical response variables using response surface modelling by Box–Behnken design. The analytical design space was navigated control strategy was framed for robust densitometric estimation of anti-diabetic drugs. The chromatographic method was validated as per ICH Q2 (R2) guideline. The developed method was applied for synchronous assay of multiple combinations of metformin, vildagliptin and dapagliflozin using single chromatographic condition to save time, cost and resources for analysis. The assay results of these anti-diabetic drug combinations were found to be complied with the respective labelled claim of the drugs. The developed and published chromatographic methods were assessed for their redness, greenness, blueness and whiteness profiles using green analytical metrics and RGB model scoring system. The proposed method was found to be green, cost-effective, robust and user-friendly for synchronous estimation of metformin, vildagliptin and dapagliflozin.

Authors

Institutions

Publication Details

Journal
Future Journal of Pharmaceutical Sciences
Published
2025-02-03
DOI
https://doi.org/10.1186/s43094-025-00770-1
Citations
15
Primary Topic
Analytical Methods in Pharmaceuticals
Type
article
Field-Weighted Citation Impact
11.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blue applicability grade index assessment and response surface modelling to synchronous determination of metformin hydrochloride, vildagliptin and dapagliflozin propanediol monohydrate by HPTLC method

Veera Shakar Pulusu, Pintu Prajapati, Dukhabandhu Naik, Anzarul Haque et al.
15 citations
Future Journal of Pharmaceutical Sciences
Analytical Methods in Pharmaceuticals
11.29
article

Blue applicability grade index assessment and response surface modelling to synchronous determination of metformin hydrochloride, vildagliptin and dapagliflozin propanediol monohydrate by HPTLC method

Veera Shakar Pulusu, Pintu Prajapati, Dukhabandhu Naik, Anzarul Haque, Mohd Abul Kalam, K. B. Patil, Shailesh Shah
article en
15 citations

Abstract

Abstract Diabetes mellitus is major chronic disease found in human due to stressful lifestyle and bad food habit. Recently, the Central Drugs Standard Control Organization of India has approved combination of metformin hydrochloride, vildagliptin and dapagliflozin propanediol monohydrate for the management of diabetes mellitus. Numerous chromatographic methods have been published in the literature for estimation of these anti-diabetic drugs on individual basis and their combinations. But these chromatographic analyses promoted usage of toxic organic solvents which are harmful to the environment and aquatic animal lives. In addition, no chromatographic method was found in the literature for simultaneous estimation of these anti-diabetic drugs using green solvents. In recent days, white analytical chemistry approach has been introduced in the literature for development and assessment of green, accurate, precise, cost-effective and user-friendly chromatographic methods. Hence, white analytical chemistry-driven risk-based HPTLC method was developed for synchronous estimation of these anti-diabetic drugs using green solvents and response surface modelling. The analytical quality risk assessment was applied for identification of critical method variables and response variables using risk priority number ranking and filtering method. The critical method variables were linked with critical response variables using response surface modelling by Box–Behnken design. The analytical design space was navigated control strategy was framed for robust densitometric estimation of anti-diabetic drugs. The chromatographic method was validated as per ICH Q2 (R2) guideline. The developed method was applied for synchronous assay of multiple combinations of metformin, vildagliptin and dapagliflozin using single chromatographic condition to save time, cost and resources for analysis. The assay results of these anti-diabetic drug combinations were found to be complied with the respective labelled claim of the drugs. The developed and published chromatographic methods were assessed for their redness, greenness, blueness and whiteness profiles using green analytical metrics and RGB model scoring system. The proposed method was found to be green, cost-effective, robust and user-friendly for synchronous estimation of metformin, vildagliptin and dapagliflozin.

Future Journal of Pharmaceutical SciencesVol. 11(1)
King Saud University (SA), Ohio University (US), Qatar University (QA)
King Saud University, Uka Tarsadia University
Openalex Percentile: Top 1%
Analytical Methods in Pharmaceuticals
11.29
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.