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Fatih Tarlak

Observed names: Fatih TARLAK, TARLAK, FATIH, TARLAK, FATİH, TARLAK, Fatih, Tarlak, Fatih
ORCID: 0000-0001-5351-1865
Observed ORCID: 0000-0001-5351-1865
OpenAlex ID: A5030476063
The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products
2023 · Fatih Tarlak · Foods · 160
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Mathematical modelling of temperature effect on growth kinetics of Pseudomonas spp. on sliced mushroom (Agaricus bisporus)
2017 · Fatih Tarlak, Murat Ozdemir, et al. · International Journal of Food Microbiology · 37
Computer vision system approach in colour measurements of foods: Part II. validation of methodology with real foods
2016 · Fatih TARLAK, Murat OZDEMİR, et al. · Food Science and Technology · 35
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Quantifying and modelling the inactivation of Listeria monocytogenes by electrolyzed water on food contact surfaces
2020 · Arícia Possas, Fernando Pérez-Rodríguez, et al. · Journal of Food Engineering · 32
A new expanded modelling approach for investigating the bioprotective capacity of Latilactobacillus sakei CTC494 against Listeria monocytogenes in ready-to-eat fish products
2021 · Araceli Bolívar, Fatih Tarlak, et al. · Food Research International · 31
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An intelligent based prediction of microbial behaviour in beef
2023 · Özgün Yücel, Fatih Tarlak · Food Control · 27
Predictive modelling for the growth kinetics of Pseudomonas spp. on button mushroom (Agaricus bisporus) under isothermal and non-isothermal conditions
2019 · Fatih Tarlak, Murat Ozdemir, et al. · Food Research International · 27
Modelling of the Behaviour of Salmonella enterica serovar Reading on Commercial Fresh-Cut Iceberg Lettuce Stored at Different Temperatures
2020 · Fatih Tarlak, Gro Johannessen, et al. · Foods · 23
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Computer vision system approach in colour measurements of foods: Part I. development of methodology
2016 · Fatih TARLAK, Murat OZDEMİR, et al. · Food Science and Technology · 23
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Next-Generation Predictive Microbiology: A Software Platform Combining Two-Step, One-Step and Machine Learning Modelling
2025 · Fatih Tarlak, Büşra Betül Şimşek, et al. · Foods · 22
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Prediction of indigenous Pseudomonas spp. growth on oyster mushrooms (Pleurotus ostreatus) as a function of storage temperature
2019 · Evanthia Manthou, Fatih Tarlak, et al. · LWT · 20
The combined effect of exposure time to sodium chlorite (NaClO2) solution and packaging on postharvest quality of white button mushroom (Agaricus bisporus) stored at 4 °C
2020 · Fatih TARLAK, Murat OZDEMIR, et al. · Food Science and Technology · 18
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Development and validation of a one-step modelling approach for the determination of chicken meat shelf-life based on the growth kinetics of Pseudomonas spp
2021 · Fatih Tarlak, Fernando Pérez-Rodríguez · Food Science and Technology International · 17
The Development of Machine Learning-Assisted Software for Predicting the Interaction Behaviours of Lactic Acid Bacteria and Listeria monocytogenes
2025 · Fatih Tarlak, Jean Carlos Correia Peres Costa, et al. · Life · 16
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Machine Learning-Based Software for Predicting Pseudomonas spp. Growth Dynamics in Culture Media
2024 · Fatih Tarlak · Life · 15
Prediction of Pseudomonas spp. Population in Food Products and Culture Media Using Machine Learning-Based Regression Methods
2023 · Fatih Tarlak, Özgün Yücel · Life · 14
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Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach
2023 · Meral Yildirim-Yalcin, Ozgun Yucel, et al. · Food Science and Technology International · 14
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Modeling the Growth of Six Listeria monocytogenes Strains in Smoked Salmon Pâté
2023 · Araceli Bolívar, Chajira Garrote Achou, et al. · Foods · 14
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The Effect of Probiotics on Various Diseases and their Therapeutic Role: An Update Review
2021 · Fataneh Hashempour-Baltork, Mahdieh Sheikh, et al. · Journal of Pure and Applied Microbiology · 11
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The role of flexibility and optimality in the prediction of intracellular fluxes of microbial central carbon metabolism
2014 · Fatih Tarlak, Hasan Sadıkoğlu, et al. · Molecular BioSystems · 11
Inactivation of Salmonella Typhimurium in fresh-cut lettuce during chlorine washing: Assessing the impacts of free chlorine concentrations and exposure times
2023 · Arícia Possas, Guiomar Denisse Posada-Izquierdo, et al. · LWT · 9
Modeling and Optimization of α-Amylase Immobilization on Chitosan-Based Supports: A Comparison of Response Surface Methodology and Machine Learning Approaches
2026 · Başak Birdal, Beyza Bahçıvan, et al. · ACS Omega · 6
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Development of Machine-Learning Models for Predicting Escherichia coli O157:H7 Inactivation on Fresh-Cut Lettuce during Chlorine Washing
2025 · Fatih Tarlak, Arícia Possas, et al. · Journal of Food Protection · 4
Comparison of modelling approaches for the prediction of kinetic growth parameters of Pseudomonas spp. in oyster mushroom ( Pleurotus ostreatus )
2022 · Fatih Tarlak, Jean Carlos Correia Peres Costa · Food Science and Technology International · 4
Development of a Novel Growth Model Based on the Central Limit Theorem for the Determination of Beef Spoilage
2021 · Fatih Tarlak · Applied food biotechnology · 4
Works count: 49
Citation count: 616
H-index: 15
I10-index: 20
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