Comprehensive study on applications of artificial neural network in food process modeling

GVS Bhagya Raj, KK Dash - Critical reviews in food science and …, 2022 - Taylor & Francis
Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

Common trends and differences in antioxidant activity analysis of phenolic substances using single electron transfer based assays

M Platzer, S Kiese, T Herfellner, U Schweiggert-Weisz… - Molecules, 2021 - mdpi.com
Numerous assays were developed to measure the antioxidant activity, but each has
limitations and the results obtained by different methods are not always comparable …

[HTML][HTML] Ultrasound-assisted extraction of phytocompounds from dragon fruit peel: Optimization, kinetics and thermodynamic studies

GVSB Raj, KK Dash - Ultrasonics Sonochemistry, 2020 - Elsevier
Ultrasound-assisted extraction method (UAE) was applied to recover phytocompounds from
dragon fruit peel and the process was modelled and optimized using the combination of …

Response surface methodology and artificial neural network approach for the optimization of ultrasound-assisted extraction of polyphenols from garlic

A Ciric, B Krajnc, D Heath, N Ogrinc - Food and Chemical Toxicology, 2020 - Elsevier
This paper aimed to establish the optimal conditions for ultrasound-assisted extraction of
polyphenols from domestic garlic (Allium sativum L.) using response surface methodology …

Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface …

K Ameer, SW Bae, Y Jo, HG Lee, A Ameer, JH Kwon - Food chemistry, 2017 - Elsevier
Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We
compared response surface methodology (RSM) and artificial neural network (ANN) …

Electrospinning of ultra-thin membranes with incorporation of antimicrobial agents for applications in active packaging: a review

IJ Rodríguez-Sánchez, CA Fuenmayor… - … Journal of Polymeric …, 2021 - Taylor & Francis
Electrospinning refers to a technique for producing nano-and micrometric-scale fibers using
high voltage. It is a novel and useful technique applied over the last few years in the areas of …

Production of bioethanol from pumpkin peel wastes: Comparison between response surface methodology (RSM) and artificial neural networks (ANN)

M Chouaibi, KB Daoued, K Riguane, T Rouissi… - Industrial Crops and …, 2020 - Elsevier
Pumpkin peel wastes are an unutilized source of starch, whose bioethanol production has
not been reported by any research work so far. Such bioethanol is believed to show the …

Physicochemical parameters combined flash GC e-nose and artificial neural network for quality and volatile characterization of vinegar with different brewing …

Y Li, C Fei, C Mao, D Ji, J Gong, Y Qin, L Qu, W Zhang… - Food chemistry, 2022 - Elsevier
Vinegar is a kind of traditional fermented food, there are significant variances in quality and
flavor due to differences in raw ingredients and processes. The quality assessment and …

Comparative study on the extraction efficiency, characterization, and bioactivities of Bletilla striata polysaccharides using response surface methodology (RSM) and …

H Chen, B Wang, J Li, J Xu, J Zeng, W Gao… - International Journal of …, 2023 - Elsevier
This research established the optimal conditions for alkali-assisted extraction (AAE) of
bioactive polysaccharides from Bletilla striata integrated with response surface methodology …

Optimization of the extraction conditions of Nypa fruticans Wurmb. using response surface methodology and artificial neural network

HJ Choi, M Naznin, MB Alam, A Javed, FH Alshammari… - Food Chemistry, 2022 - Elsevier
In this study, we conducted response surface methodology (RSM) and artificial neural
network (ANN) to predict and estimate the optimized extraction condition of Nypa fruticans …