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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Universiti Sultan Azlan Shah
2023
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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 |
_version_ |
1820775447360700416 |