Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles

Resorcinol and 4-n-butyl resorcinol have been used to improve skin health. However, these two compounds were unstable due to the oxidation process. Lipid nanoparticle formulation strategies were reported as the solution to overcome the stability problem for both resorcinol and 4-n-butyl resorcinol....

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Autores principales:	Rini Dwiastuti, Dina Christin Ayuning Putri, Maywan Hariono, Florentinus Dika Octa Riswanto
Formato:	article
Lenguaje:	EN
Publicado:	Department of Chemistry, Universitas Gadjah Mada 2021
Materias:	4-n-butyl resorcinol box-behnken design hplc optimization resorcinol Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/2e7e63b4d98f487aa0f91853a006b8b4
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spelling	oai:doaj.org-article:2e7e63b4d98f487aa0f91853a006b8b42021-12-02T14:01:33ZMultiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles1411-94202460-157810.22146/ijc.58537https://doaj.org/article/2e7e63b4d98f487aa0f91853a006b8b42021-03-01T00:00:00Zhttps://jurnal.ugm.ac.id/ijc/article/view/58537https://doaj.org/toc/1411-9420https://doaj.org/toc/2460-1578Resorcinol and 4-n-butyl resorcinol have been used to improve skin health. However, these two compounds were unstable due to the oxidation process. Lipid nanoparticle formulation strategies were reported as the solution to overcome the stability problem for both resorcinol and 4-n-butyl resorcinol. Nevertheless, it is important to determine the content of resorcinol and 4-n-butyl resorcinol in lipid nanoparticle formulation. Aiming to develop the analytical method for resorcinol and 4-n-butyl resorcinol determination, a response surface methodology (RSM) was applied in the HPLC optimization stage. An optimized HPLC condition was obtained by generating a Box-Behnken design followed by multiple response analysis. It was obtained that optimized HPLC conditions due to the predictive multiple response optimization were methanol percentage of 50.0%, acetonitrile percentage of 18.1%, and flow rate of 0.6 mL min–1. This optimized condition was successfully applied and met the requirements of the system suitability test. Quantitative estimation was performed and resulted that the resorcinol and 4-n-butyl resorcinol content in lipid nanoparticles were 70.37 ± 0.47 and 95.07 ± 0.80 µg mL–1, respectively.Rini DwiastutiDina Christin Ayuning PutriMaywan HarionoFlorentinus Dika Octa RiswantoDepartment of Chemistry, Universitas Gadjah Madaarticle4-n-butyl resorcinolbox-behnken designhplcoptimizationresorcinolChemistryQD1-999ENIndonesian Journal of Chemistry, Vol 21, Iss 2, Pp 502-511 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	4-n-butyl resorcinol box-behnken design hplc optimization resorcinol Chemistry QD1-999
spellingShingle	4-n-butyl resorcinol box-behnken design hplc optimization resorcinol Chemistry QD1-999 Rini Dwiastuti Dina Christin Ayuning Putri Maywan Hariono Florentinus Dika Octa Riswanto Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles
description	Resorcinol and 4-n-butyl resorcinol have been used to improve skin health. However, these two compounds were unstable due to the oxidation process. Lipid nanoparticle formulation strategies were reported as the solution to overcome the stability problem for both resorcinol and 4-n-butyl resorcinol. Nevertheless, it is important to determine the content of resorcinol and 4-n-butyl resorcinol in lipid nanoparticle formulation. Aiming to develop the analytical method for resorcinol and 4-n-butyl resorcinol determination, a response surface methodology (RSM) was applied in the HPLC optimization stage. An optimized HPLC condition was obtained by generating a Box-Behnken design followed by multiple response analysis. It was obtained that optimized HPLC conditions due to the predictive multiple response optimization were methanol percentage of 50.0%, acetonitrile percentage of 18.1%, and flow rate of 0.6 mL min–1. This optimized condition was successfully applied and met the requirements of the system suitability test. Quantitative estimation was performed and resulted that the resorcinol and 4-n-butyl resorcinol content in lipid nanoparticles were 70.37 ± 0.47 and 95.07 ± 0.80 µg mL–1, respectively.
format	article
author	Rini Dwiastuti Dina Christin Ayuning Putri Maywan Hariono Florentinus Dika Octa Riswanto
author_facet	Rini Dwiastuti Dina Christin Ayuning Putri Maywan Hariono Florentinus Dika Octa Riswanto
author_sort	Rini Dwiastuti
title	Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles
title_short	Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles
title_full	Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles
title_fullStr	Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles
title_full_unstemmed	Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles
title_sort	multiple response optimization of a hplc method for analyzing resorcinol and 4-<i>n</i>-butyl resorcinol in lipid nanoparticles
publisher	Department of Chemistry, Universitas Gadjah Mada
publishDate	2021
url	https://doaj.org/article/2e7e63b4d98f487aa0f91853a006b8b4
work_keys_str_mv	AT rinidwiastuti multipleresponseoptimizationofahplcmethodforanalyzingresorcinoland4inibutylresorcinolinlipidnanoparticles AT dinachristinayuningputri multipleresponseoptimizationofahplcmethodforanalyzingresorcinoland4inibutylresorcinolinlipidnanoparticles AT maywanhariono multipleresponseoptimizationofahplcmethodforanalyzingresorcinoland4inibutylresorcinolinlipidnanoparticles AT florentinusdikaoctariswanto multipleresponseoptimizationofahplcmethodforanalyzingresorcinoland4inibutylresorcinolinlipidnanoparticles
_version_	1718392130090565632

Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles

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