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Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case
There are only a limited number of molecules in a cosmetic formulation, which can passively cross the stratum corneum and be absorbed into the skin layers. However, some actives should never cross the skin in large concentrations due to their potential for side effects, for example, sunscreens. Arti...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500902/ https://www.ncbi.nlm.nih.gov/pubmed/36145564 http://dx.doi.org/10.3390/pharmaceutics14091815 |
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author | Baldisserotto, Anna Baldini, Erika Ravarotto, Sara Cesa, Elena De Lucia, Daniela Durini, Elisa Vertuani, Silvia Manfredini, Stefano Michniak-Kohn, Bozena B. |
author_facet | Baldisserotto, Anna Baldini, Erika Ravarotto, Sara Cesa, Elena De Lucia, Daniela Durini, Elisa Vertuani, Silvia Manfredini, Stefano Michniak-Kohn, Bozena B. |
author_sort | Baldisserotto, Anna |
collection | PubMed |
description | There are only a limited number of molecules in a cosmetic formulation, which can passively cross the stratum corneum and be absorbed into the skin layers. However, some actives should never cross the skin in large concentrations due to their potential for side effects, for example, sunscreens. Artificial intelligence is gaining an increasing role as a predictive tool, and in this regard, we selected the Formulating for Efficacy(®) Software to forecast the changes in bioavailability of selected topical cosmetic compounds. Using the Franz diffusion cell methodology, various oils were selected as those with low release capability, and these were compared to those suggested by the software in Benzophenone-3-containing formulations. The software was able to predict the lipophilic phases, which, if utilized in the emulsion, were stable and sometimes even more pleasant in appearance and consistency than the reference emulsions prepared by the formulator. To date, however, Formulating for Efficacy(®) Software still has limitations as far as predicting the hydrophilic phase, as well as not being able to choose the emulsifier or the preservative system. |
format | Online Article Text |
id | pubmed-9500902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95009022022-09-24 Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case Baldisserotto, Anna Baldini, Erika Ravarotto, Sara Cesa, Elena De Lucia, Daniela Durini, Elisa Vertuani, Silvia Manfredini, Stefano Michniak-Kohn, Bozena B. Pharmaceutics Article There are only a limited number of molecules in a cosmetic formulation, which can passively cross the stratum corneum and be absorbed into the skin layers. However, some actives should never cross the skin in large concentrations due to their potential for side effects, for example, sunscreens. Artificial intelligence is gaining an increasing role as a predictive tool, and in this regard, we selected the Formulating for Efficacy(®) Software to forecast the changes in bioavailability of selected topical cosmetic compounds. Using the Franz diffusion cell methodology, various oils were selected as those with low release capability, and these were compared to those suggested by the software in Benzophenone-3-containing formulations. The software was able to predict the lipophilic phases, which, if utilized in the emulsion, were stable and sometimes even more pleasant in appearance and consistency than the reference emulsions prepared by the formulator. To date, however, Formulating for Efficacy(®) Software still has limitations as far as predicting the hydrophilic phase, as well as not being able to choose the emulsifier or the preservative system. MDPI 2022-08-29 /pmc/articles/PMC9500902/ /pubmed/36145564 http://dx.doi.org/10.3390/pharmaceutics14091815 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 Baldisserotto, Anna Baldini, Erika Ravarotto, Sara Cesa, Elena De Lucia, Daniela Durini, Elisa Vertuani, Silvia Manfredini, Stefano Michniak-Kohn, Bozena B. Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case |
title | Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case |
title_full | Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case |
title_fullStr | Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case |
title_full_unstemmed | Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case |
title_short | Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case |
title_sort | expert systems for predicting the bioavailability of sun filters in cosmetic products, software vs. expert formulator: the benzophenone-3 case |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500902/ https://www.ncbi.nlm.nih.gov/pubmed/36145564 http://dx.doi.org/10.3390/pharmaceutics14091815 |
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