Effects of Non-Thermal Treatment on Gilaburu Vinegar (Viburnum opulus L.): Polyphenols, Amino Acid, Antimicrobial, and Anticancer Properties

B Erdal, S Yıkmış, NT Demirok, E Bozgeyik, O Levent - Biology, 2022 - mdpi.com
Simple Summary In this study, traditionally produced vinegar made from gilaburu (C-GV)
and thermally pasteurized gilaburu vinegar (P-GV), and (ultrasound-treated gilaburu vinegar …

[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 …

[HTML][HTML] From Data to Models and Predictions in Food Microbiology

J Baranyi, M Rockaya, M Ellouze - Current Opinion in Food Science, 2024 - Elsevier
Highlights•Predictions are based on mathematical models to be developed together with
databases.•Models should not be judged solely by their ability to fit specific …

A supervised machine learning approach for the prediction of antioxidant activities of Amaranthus viridis seed

B Olawoye, OF Fagbohun, O Popoola-Akinola… - Heliyon, 2024 - cell.com
This research aimed at modelling and predicting the antioxidant activities of Amaranthus
viridis seed extract using four (4) data-driven models. Artificial Neural Network (ANN) …

[Retracted] Predicting the Growth of F. proliferatum and F. culmorum and the Growth of Mycotoxin Using Machine Learning Approach

R Srinivasan, T Lalitha, NC Brintha… - BioMed Research …, 2022 - Wiley Online Library
In distinct parts of the food web, Fusarium culmorum and Fusarium preserving the
relationship can germinate and grow zearalenone (ZEA) and fumonisins (FUM), accordingly …

The Importance of Agricultural and Meteorological Predictions Using Machine Learning Models

M Ehteram, A Seifi, FB Banadkooki - Hellenic Conference on Artificial …, 2022 - Springer
This chapter reviews the applications of machine learning (ML) models for predicting
meteorological and agricultural variables. The advantage and disadvantages of models are …

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

EM Mateo Jiménez, A Tarazona, R Aznar Novella… - 2023 - roderic.uv.es
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 …