Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara

The development of halal cosmetic formulations presents a challenge to obtain optimised formulations with desirable qualities as it involves many ingredients. The advancement of cosmetic technologies employs multivariate statistical techniques such as artificial neural networks (ANN) to optimise cos...

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Published in:Global Journal Al-Thaqafah
Main Author: Payyadhah B.F.; Salwa A.G.S.; Huda S.N.
Format: Article
Language:English
Published: Universiti Sultan Azlan Shah 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168611459&doi=10.7187%2fGJATSI072023-4&partnerID=40&md5=d3f57fc22a42afd6f4446d9732014986
id 2-s2.0-85168611459
spelling 2-s2.0-85168611459
Payyadhah B.F.; Salwa A.G.S.; Huda S.N.
Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
2023
Global Journal Al-Thaqafah

Special Issue
10.7187/GJATSI072023-4
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168611459&doi=10.7187%2fGJATSI072023-4&partnerID=40&md5=d3f57fc22a42afd6f4446d9732014986
The development of halal cosmetic formulations presents a challenge to obtain optimised formulations with desirable qualities as it involves many ingredients. The advancement of cosmetic technologies employs multivariate statistical techniques such as artificial neural networks (ANN) to optimise cosmetic formulation, which aims to overcome the shortcomings of traditional formulation methods, which are laborious and cumbersome. Okara is a by-product of the production of soy-based products. Okara has been found to have numerous benefits for many industries and has been discovered as a promising halal cosmetic ingredient. Okara is a plant-derived ingredient; it can be incorporated as a cosmetic ingredient if essential aspects of production are addressed, such as using permissible substances, manufacturing, storage, packaging, and delivery following Shariah requirements. This study aims to develop an optimised halal cosmetic soap formulation containing okara using ANN to achieve the desired hardness of the soap. The influential input variables were the main compositions of the okara soap formulations, containing different fatty acids and oils, and okara through a saponification process. In contrast, the hardness (N) of the soap was the response used as the output. Five different algorithms trained ANN. Generic Algorithm (GA) 6-09-1 was selected as the final optimum model to optimise the halal cosmetic soap formulation. GA modelling was further validated, and the experimentally obtained actual hardness (N) value was close to the predicted value. In conclusion, they were optimised formulating using ANN to produce a soap with desirable properties better than those of commercial ones. © 2023, Global Journal Al-Thaqafah. All Rights Reserved.
Universiti Sultan Azlan Shah
22320474
English
Article
All Open Access; Gold Open Access
author Payyadhah B.F.; Salwa A.G.S.; Huda S.N.
spellingShingle Payyadhah B.F.; Salwa A.G.S.; Huda S.N.
Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
author_facet Payyadhah B.F.; Salwa A.G.S.; Huda S.N.
author_sort Payyadhah B.F.; Salwa A.G.S.; Huda S.N.
title Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
title_short Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
title_full Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
title_fullStr Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
title_full_unstemmed Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
title_sort Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara
publishDate 2023
container_title Global Journal Al-Thaqafah
container_volume
container_issue Special Issue
doi_str_mv 10.7187/GJATSI072023-4
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168611459&doi=10.7187%2fGJATSI072023-4&partnerID=40&md5=d3f57fc22a42afd6f4446d9732014986
description The development of halal cosmetic formulations presents a challenge to obtain optimised formulations with desirable qualities as it involves many ingredients. The advancement of cosmetic technologies employs multivariate statistical techniques such as artificial neural networks (ANN) to optimise cosmetic formulation, which aims to overcome the shortcomings of traditional formulation methods, which are laborious and cumbersome. Okara is a by-product of the production of soy-based products. Okara has been found to have numerous benefits for many industries and has been discovered as a promising halal cosmetic ingredient. Okara is a plant-derived ingredient; it can be incorporated as a cosmetic ingredient if essential aspects of production are addressed, such as using permissible substances, manufacturing, storage, packaging, and delivery following Shariah requirements. This study aims to develop an optimised halal cosmetic soap formulation containing okara using ANN to achieve the desired hardness of the soap. The influential input variables were the main compositions of the okara soap formulations, containing different fatty acids and oils, and okara through a saponification process. In contrast, the hardness (N) of the soap was the response used as the output. Five different algorithms trained ANN. Generic Algorithm (GA) 6-09-1 was selected as the final optimum model to optimise the halal cosmetic soap formulation. GA modelling was further validated, and the experimentally obtained actual hardness (N) value was close to the predicted value. In conclusion, they were optimised formulating using ANN to produce a soap with desirable properties better than those of commercial ones. © 2023, Global Journal Al-Thaqafah. All Rights Reserved.
publisher Universiti Sultan Azlan Shah
issn 22320474
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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