Cargando…
Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading
Albumin nanocarrier research and development is a challenging area in the field of personalized medicine and in providing advanced therapeutic solutions. Albumin as a biocompatible, nonimmunogenic, and non-toxic protein carrier that can be exploited to conjugate drugs with poor bioavailability to im...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611155/ https://www.ncbi.nlm.nih.gov/pubmed/36297472 http://dx.doi.org/10.3390/pharmaceutics14102036 |
_version_ | 1784819455905234944 |
---|---|
author | Katona, Gábor Sipos, Bence Csóka, Ildikó |
author_facet | Katona, Gábor Sipos, Bence Csóka, Ildikó |
author_sort | Katona, Gábor |
collection | PubMed |
description | Albumin nanocarrier research and development is a challenging area in the field of personalized medicine and in providing advanced therapeutic solutions. Albumin as a biocompatible, nonimmunogenic, and non-toxic protein carrier that can be exploited to conjugate drugs with poor bioavailability to improve on this feature. With many different perspectives and desired target profiles, a systematic structural approach must be used in nanoparticle development. The extended Research and Development (R&D) Quality by Design thinking and methodology proved to be useful in case of specific nanoparticle development processes before. However, the coacervation method is the most frequently applied preparation method for HSA nanoparticles; there is a lack of existing research work which has directly determined the influence of process parameters, control strategy, or design space. With a quality-management-driven strategy, a knowledge space was developed for these versatile nanoparticles and an initial risk assessment was conducted on the quality-affecting factors regarding the coacervation method, followed by an optimization process via Plackett–Burman and Box–Behnken experimental design. As a result of screening the effect of process variables on the fabrication of HSA nanoparticles, an optimized colloidal drug delivery system was engineered with desired nanoparticulate properties. |
format | Online Article Text |
id | pubmed-9611155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96111552022-10-28 Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading Katona, Gábor Sipos, Bence Csóka, Ildikó Pharmaceutics Article Albumin nanocarrier research and development is a challenging area in the field of personalized medicine and in providing advanced therapeutic solutions. Albumin as a biocompatible, nonimmunogenic, and non-toxic protein carrier that can be exploited to conjugate drugs with poor bioavailability to improve on this feature. With many different perspectives and desired target profiles, a systematic structural approach must be used in nanoparticle development. The extended Research and Development (R&D) Quality by Design thinking and methodology proved to be useful in case of specific nanoparticle development processes before. However, the coacervation method is the most frequently applied preparation method for HSA nanoparticles; there is a lack of existing research work which has directly determined the influence of process parameters, control strategy, or design space. With a quality-management-driven strategy, a knowledge space was developed for these versatile nanoparticles and an initial risk assessment was conducted on the quality-affecting factors regarding the coacervation method, followed by an optimization process via Plackett–Burman and Box–Behnken experimental design. As a result of screening the effect of process variables on the fabrication of HSA nanoparticles, an optimized colloidal drug delivery system was engineered with desired nanoparticulate properties. MDPI 2022-09-24 /pmc/articles/PMC9611155/ /pubmed/36297472 http://dx.doi.org/10.3390/pharmaceutics14102036 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 Katona, Gábor Sipos, Bence Csóka, Ildikó Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading |
title | Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading |
title_full | Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading |
title_fullStr | Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading |
title_full_unstemmed | Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading |
title_short | Risk-Assessment-Based Optimization Favours the Development of Albumin Nanoparticles with Proper Characteristics Prior to Drug Loading |
title_sort | risk-assessment-based optimization favours the development of albumin nanoparticles with proper characteristics prior to drug loading |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611155/ https://www.ncbi.nlm.nih.gov/pubmed/36297472 http://dx.doi.org/10.3390/pharmaceutics14102036 |
work_keys_str_mv | AT katonagabor riskassessmentbasedoptimizationfavoursthedevelopmentofalbuminnanoparticleswithpropercharacteristicspriortodrugloading AT siposbence riskassessmentbasedoptimizationfavoursthedevelopmentofalbuminnanoparticleswithpropercharacteristicspriortodrugloading AT csokaildiko riskassessmentbasedoptimizationfavoursthedevelopmentofalbuminnanoparticleswithpropercharacteristicspriortodrugloading |