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Application of Response Surface Methodologies to Optimize High-Added Value Products Developments: Cosmetic Formulations as an Example

Authors :
Antonio Segura Carretero
Rodrigo Oliver
David Arraez-Roman
Álvaro Fernández-Ochoa
María de la Luz Cádiz-Gurrea
M. Elena Alañón
INES CASTANGIA
Jesús Lozano Sánchez
Francisco Javier Leyva-Jimenez
Source :
Antioxidants. 11:1552
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

In recent years, green and advanced extraction technologies have gained great interest to revalue several food by-products. This by-product revaluation is currently allowing the development of high value-added products, such as functional foods, nutraceuticals, or cosmeceuticals. Among the high valued-added products, cosmeceuticals are innovative cosmetic formulations which have incorporated bioactive natural ingredients providing multiple benefits on skin health. In this context, the extraction techniques are an important step during the elaboration of cosmetic ingredients since they represent the beginning of the formulation process and have a great influence on the quality of the final product. Indeed, these technologies are claimed as efficient methods to retrieve bioactive compounds from natural sources in terms of resource utilization, environmental impact, and costs. This review offers a summary of the most-used green and advanced methodologies to obtain cosmetic ingredients with the maximum performance of these extraction techniques. Response surface methodologies may be applied to enhance the optimization processes, providing a simple way to understand the extraction process as well as to reach the optimum conditions to increase the extraction efficiency. The combination of both assumes an economic improvement to attain high value products that may be applied to develop functional ingredients for cosmetics purposes.<br />Regional Ministry of Economy, Knowledge, Enterprise and Universities of Andalusia P18-TP-3589<br />Spanish Government FJC2020-044298-I CAS21/00532<br />University of Castilla-La Mancha - FEDER funds 2019-PREDUCLM-11075

Details

ISSN :
20763921
Volume :
11
Database :
OpenAIRE
Journal :
Antioxidants
Accession number :
edsair.doi.dedup.....139fcd91f2e9e8945e889efdd245720d