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HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score

In the current study, the reversed-phased high-pressure liquid chromatography (RP-HPLC) method was proposed for the estimation of lignocaine hydrochloride (LIG), hydrocortisone (HYD) and Ketoprofen (KET) according to International Conference for Harmonization (ICH) Q2 R1 guidelines, in a gel formula...

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Autores principales: Mehmood, Tariq, Hanif, Sana, Azhar, Faiza, Ali, Ijaz, Alafnan, Ahmed, Hussain, Talib, Moin, Afrasim, Alamri, Mubarak A., Syed, Muhammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820389/
https://www.ncbi.nlm.nih.gov/pubmed/36613881
http://dx.doi.org/10.3390/ijms24010440
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author Mehmood, Tariq
Hanif, Sana
Azhar, Faiza
Ali, Ijaz
Alafnan, Ahmed
Hussain, Talib
Moin, Afrasim
Alamri, Mubarak A.
Syed, Muhammad Ali
author_facet Mehmood, Tariq
Hanif, Sana
Azhar, Faiza
Ali, Ijaz
Alafnan, Ahmed
Hussain, Talib
Moin, Afrasim
Alamri, Mubarak A.
Syed, Muhammad Ali
author_sort Mehmood, Tariq
collection PubMed
description In the current study, the reversed-phased high-pressure liquid chromatography (RP-HPLC) method was proposed for the estimation of lignocaine hydrochloride (LIG), hydrocortisone (HYD) and Ketoprofen (KET) according to International Conference for Harmonization (ICH) Q2 R1 guidelines, in a gel formulation. The chromatographic evaluation was executed using Shimadzu RP-HPLC, equipped with a C8 column and detected using UV at 254 nm wavelength, using acetonitrile and buffer (50:50) as a mobile phase and diluent, at flow rate 1 mL/min and n injection volume of 20 μL. The retention time for LIG, HYD, and KET were 1.54, 2.57, and 5.78 min, correspondingly. The resultant values of analytical recovery demonstrate accuracy and precision of the method and was found specific in identification of the drugs from dosage form and marketed products. The limit of detection (LOD) for LIG, HYD, and KET were calculated to be 0.563, 0.611, and 0.669 ppm, while the limit of quantification (LOQ) was estimated almost at 1.690, 1.833, and 0.223 ppm, respectively. The AGREE software was utilized to evaluate the greenness score of the proposed method, and it was found greener in score (0.76). This study concluded that the proposed method was simple, accurate, precise, robust, economical, reproducible, and suitable for the estimation of drugs in transdermal gels.
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spelling pubmed-98203892023-01-07 HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score Mehmood, Tariq Hanif, Sana Azhar, Faiza Ali, Ijaz Alafnan, Ahmed Hussain, Talib Moin, Afrasim Alamri, Mubarak A. Syed, Muhammad Ali Int J Mol Sci Article In the current study, the reversed-phased high-pressure liquid chromatography (RP-HPLC) method was proposed for the estimation of lignocaine hydrochloride (LIG), hydrocortisone (HYD) and Ketoprofen (KET) according to International Conference for Harmonization (ICH) Q2 R1 guidelines, in a gel formulation. The chromatographic evaluation was executed using Shimadzu RP-HPLC, equipped with a C8 column and detected using UV at 254 nm wavelength, using acetonitrile and buffer (50:50) as a mobile phase and diluent, at flow rate 1 mL/min and n injection volume of 20 μL. The retention time for LIG, HYD, and KET were 1.54, 2.57, and 5.78 min, correspondingly. The resultant values of analytical recovery demonstrate accuracy and precision of the method and was found specific in identification of the drugs from dosage form and marketed products. The limit of detection (LOD) for LIG, HYD, and KET were calculated to be 0.563, 0.611, and 0.669 ppm, while the limit of quantification (LOQ) was estimated almost at 1.690, 1.833, and 0.223 ppm, respectively. The AGREE software was utilized to evaluate the greenness score of the proposed method, and it was found greener in score (0.76). This study concluded that the proposed method was simple, accurate, precise, robust, economical, reproducible, and suitable for the estimation of drugs in transdermal gels. MDPI 2022-12-27 /pmc/articles/PMC9820389/ /pubmed/36613881 http://dx.doi.org/10.3390/ijms24010440 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mehmood, Tariq
Hanif, Sana
Azhar, Faiza
Ali, Ijaz
Alafnan, Ahmed
Hussain, Talib
Moin, Afrasim
Alamri, Mubarak A.
Syed, Muhammad Ali
HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score
title HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score
title_full HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score
title_fullStr HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score
title_full_unstemmed HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score
title_short HPLC Method Validation for the Estimation of Lignocaine HCl, Ketoprofen and Hydrocortisone: Greenness Analysis Using AGREE Score
title_sort hplc method validation for the estimation of lignocaine hcl, ketoprofen and hydrocortisone: greenness analysis using agree score
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820389/
https://www.ncbi.nlm.nih.gov/pubmed/36613881
http://dx.doi.org/10.3390/ijms24010440
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