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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...

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Autores principales: Baldisserotto, Anna, Baldini, Erika, Ravarotto, Sara, Cesa, Elena, De Lucia, Daniela, Durini, Elisa, Vertuani, Silvia, Manfredini, Stefano, Michniak-Kohn, Bozena B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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