Development and validation of stability indicating HPTLC method for estimation of Daclatasvir Dihydrochloride in pharmaceutical dosage form

A high-performance thin-layer chromatographic method was developed and validated for estimation of Daclatasvir Dihydrochloride in pharmaceutical dosage form. The proposed method was applied successfully to the pharmaceutical analysis of the recently approved dosage form of Daclatasvir Dihydrochloride which is available in market as a brand name of ‘NALDAC 60’ tablets. The drugs were satisfactorily show peak with RF 0.38 for Daclatasvir Dihydrochloride. Method was validated according to the ICH guidelines. The calibration plot was linear between 50-300 ng per band for Daclatasvir Dihydrochloride. The LOD and LOQ for Daclatasvir Dihydrochloride were found to be 0.171 μg per band and 0.521 μg per band, respectively. Accuracy and precision of the proposed method was evaluated by recovery studies (% recovery for Daclatasvir Dihydrochloride was 99.88%) and intra-day and inter-day precision studies (standard deviation value for precision studies was found to be 0.453). In stability testing, Daclatasvir Dihydrochloride was found susceptible to acid hydrolysis and alkaline degradation. Because the method could effectively separate the drugs from their degradation products, it can be used as a stability indicating method. The proposed validated stability indicating assay for the sensitive determination of the mentioned drugs is suitable for Quality control laboratories as a simple fast economic method. Degradation product of Daclatasvir Dihydrochloride in alkaline condition was carried out.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-30
DOI
https://doi.org/10.5281/zenodo.14891592
Primary Topic
Analytical Methods in Pharmaceuticals
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of stability indicating HPTLC method for estimation of Daclatasvir Dihydrochloride in pharmaceutical dosage form

Zenodo (CERN European Organization for Nuclear Research)
Analytical Methods in Pharmaceuticals
article

Development and validation of stability indicating HPTLC method for estimation of Daclatasvir Dihydrochloride in pharmaceutical dosage form

article en

Abstract

A high-performance thin-layer chromatographic method was developed and validated for estimation of Daclatasvir Dihydrochloride in pharmaceutical dosage form. The proposed method was applied successfully to the pharmaceutical analysis of the recently approved dosage form of Daclatasvir Dihydrochloride which is available in market as a brand name of ‘NALDAC 60’ tablets. The drugs were satisfactorily show peak with RF 0.38 for Daclatasvir Dihydrochloride. Method was validated according to the ICH guidelines. The calibration plot was linear between 50-300 ng per band for Daclatasvir Dihydrochloride. The LOD and LOQ for Daclatasvir Dihydrochloride were found to be 0.171 μg per band and 0.521 μg per band, respectively. Accuracy and precision of the proposed method was evaluated by recovery studies (% recovery for Daclatasvir Dihydrochloride was 99.88%) and intra-day and inter-day precision studies (standard deviation value for precision studies was found to be 0.453). In stability testing, Daclatasvir Dihydrochloride was found susceptible to acid hydrolysis and alkaline degradation. Because the method could effectively separate the drugs from their degradation products, it can be used as a stability indicating method. The proposed validated stability indicating assay for the sensitive determination of the mentioned drugs is suitable for Quality control laboratories as a simple fast economic method. Degradation product of Daclatasvir Dihydrochloride in alkaline condition was carried out.

Zenodo (CERN European Organization for Nuclear Research)
Dr. Babasaheb Ambedkar Technological University (IN)
Openalex Percentile: Top 64%
Analytical Methods in Pharmaceuticals
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.