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 …
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 …
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 …
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
This paper aimed to establish the optimal conditions for ultrasound-assisted extraction of
polyphenols from domestic garlic (Allium sativum L.) using response surface methodology …
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 …
Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We
compared response surface methodology (RSM) and artificial neural network (ANN) …
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 …
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 …
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 …
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 …
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
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 …
network (ANN) to predict and estimate the optimized extraction condition of Nypa fruticans …