[HTML][HTML] Exploring the impact of lactic acid bacteria on the biocontrol of toxigenic Fusarium spp. and their main mycotoxins

EM Mateo, A Tarazona, R Aznar, F Mateo - International Journal of Food …, 2023 - Elsevier
The occurrence of fungi and mycotoxins in foods is a serious global problem. Most of the
regulated mycotoxins in food are produced by Fusarium spp. This work aimed to assess the …

Modeling Agrobacterium-Mediated Gene Transformation of Tobacco (Nicotiana tabacum)—A Model Plant for Gene Transformation Studies

G Niedbała, M Niazian, P Sabbatini - Frontiers in Plant Science, 2021 - frontiersin.org
The multilayer perceptron (MLP) topology of an artificial neural network (ANN) was applied
to create two predictor models in Agrobacterium-mediated gene transformation of tobacco …

Lactic acid bacteria as potential agents for biocontrol of aflatoxigenic and ochratoxigenic fungi

EM Mateo, A Tarazona, M Jiménez, F Mateo - Toxins, 2022 - mdpi.com
Aflatoxins (AF) and ochratoxin A (OTA) are fungal metabolites that have carcinogenic,
teratogenic, embryotoxic, genotoxic, neurotoxic, and immunosuppressive effects in humans …

[HTML][HTML] Mathematical modeling for management of stored-grain ecosystems: Approaches, opportunities, and research needs

T Anukiruthika, DS Jayas - Journal of Stored Products Research, 2024 - Elsevier
Cereal grains, oilseeds, and pulses (collectively referred to as grains) form a major portion of
daily intake for humans and domesticated animals and hold greater economic value for …

Estimation of the storage properties of rapeseeds using an artificial neural network

N Voća, L Pezo, Ž Jukić, B Lončar, D Šuput… - Industrial Crops and …, 2022 - Elsevier
Rapeseed losses during storage can lead to undesirable difficulties in oil and biodiesel
production. In this paper, three artificial neural networks were created to anticipate the main …

Methodology for quantifying volatile compounds in a liquid mixture using an algorithm combining b-splines and artificial neural networks to process responses of a …

J Wawrzyniak - Sensors, 2022 - mdpi.com
Metal oxide semiconductor (MOS) gas sensors have many advantages, but the main
obstacle to their widespread use is the cross-sensitivity observed when using this type of …

Artificial Neural Network Prediction of Antiadhesion and Antibiofilm-Forming Effects of Antimicrobial Active Mushroom Extracts on Food-Borne Pathogens

J Vunduk, A Klaus, V Lazić, M Kozarski, D Radić… - Antibiotics, 2023 - mdpi.com
The problem of microbial biofilms has come to the fore alongside food, pharmaceutical, and
healthcare industrialization. The development of new antibiofilm products has become …

[HTML][HTML] Predicting microbial response to anthropogenic environmental disturbances using artificial neural network and multiple linear regression

S Sharma, R Gupta, R Bhatia, AP Toor… - International Journal of …, 2021 - Elsevier
A mathematical model that quantitively describes the combined effect of different
environmental variables can be used to predict the growth dynamics of a microorganism …

[HTML][HTML] Application of artificial neural networks and fuzzy logics to estimate porosity for Asmari formation

X Li, B Wang, Q Hu, LM Yapanto, AO Zekiy - Energy Reports, 2021 - Elsevier
Porosity estimation is one of the essential issues in petroleum industries to distinguish the
reservoir characteristics properly. Therefore, it is of importance to predict porosity with the …

Optimization and Modeling of Citrobacter freundii AD119 Growth and 1,3-Propanediol Production Using Two-Step Statistical Experimental Design and Artificial …

A Drożdżyńska, J Wawrzyniak, P Kubiak, M Przybylak… - Sensors, 2023 - mdpi.com
1, 3-propanediol (1, 3-PD) has a wide range of industrial applications. The most studied
natural producers capable of fermenting glycerol to 1, 3-PD belong to the genera Klebsiella …