Neural network modelling of phenolic content, antioxidant capacity and microbial population dynamics of a household scale spontaneous fermentation of Carica papaya leaf / Nor Afiqah Latip ... [et al.]

Latip, Nor Afiqah and So’aib, Mohamad Sufian and Huey, Ling Tan and Senin, Syahrul Fithry and Hamid, Aminuddin (2022) Neural network modelling of phenolic content, antioxidant capacity and microbial population dynamics of a household scale spontaneous fermentation of Carica papaya leaf / Nor Afiqah Latip ... [et al.]. Journal of Mechanical Engineering (JMechE), 11 (1): 20. pp. 347-366. ISSN 1823-5514 ; 2550-164X

Abstract

Beneficial effects of spontaneous fermentation on Carica papaya leaf (CPL) have been observed in terms of enhanced total phenolic content and antioxidant capacity, as well as cultivation of lactic acid bacteria (LAB). Nonetheless, these responses were nonlinear, thus Artificial Neural network (ANN) was used as a predictive tool. The chosen ANN architecture consisted of multi-layer perceptron (MLP) with 2-7-7-1 and 2-10-10-1 topologies, Levenberg-Marquardt training algorithm, and hyperbolic tangent sigmoid activation function.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Latip, Nor Afiqah
UNSPECIFIED
So’aib, Mohamad Sufian
sufian5129@uitm.edu.my
Huey, Ling Tan
UNSPECIFIED
Senin, Syahrul Fithry
syahrul573@uitm.edu.my
Hamid, Aminuddin
UNSPECIFIED
Subjects: R Medicine > RM Therapeutics. Pharmacology
T Technology > TP Chemical technology > Fermentation, Industrial
Divisions: Universiti Teknologi MARA, Shah Alam > College of Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
UiTM Journal Collections: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 1823-5514 ; 2550-164X
Volume: 11
Number: 1
Page Range: pp. 347-366
Keywords: Carica papaya leaf, actic acid bacteria, artificial neural network, antioxidant capacity, total phenolic content
Date: November 2022
URI: https://ir.uitm.edu.my/id/eprint/84050
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