| Computer vision system approach in colour measurements of foods: Part II. Validation of methodology with real foods F Tarlak, M Ozdemir, M Melikoglu Food Science and Technology 36, 499-504, 2016 | 36 | 2016 |
| Mathematical modelling of temperature effect on growth kinetics of Pseudomonas spp. on sliced mushroom (Agaricus bisporus) F Tarlak, M Ozdemir, M Melikoglu International journal of food microbiology 266, 274-281, 2018 | 33 | 2018 |
| Quantifying and modelling the inactivation of Listeria monocytogenes by electrolyzed water on food contact surfaces A Possas, F Pérez-Rodríguez, F Tarlak, RM García-Gimeno Journal of Food Engineering 290, 110287, 2021 | 22 | 2021 |
| Predictive modelling for the growth kinetics of Pseudomonas spp. on button mushroom (Agaricus bisporus) under isothermal and non-isothermal conditions F Tarlak, M Ozdemir, M Melikoglu Food research international 130, 108912, 2020 | 21 | 2020 |
| Computer vision system approach in colour measurements of foods: Part I. development of methodology F Tarlak, M Ozdemir, M Melikoglu Food Science and Technology 36, 382-388, 2016 | 19 | 2016 |
| The combined effect of exposure time to sodium chlorite (NaClO 2) solution and packaging on postharvest quality of white button mushroom (Agaricus bisporus) stored at 4 C F Tarlak, M Ozdemir, M Melikoglu Food Science and Technology 40, 864-870, 2020 | 18 | 2020 |
| Modelling of the Behaviour of Salmonella enterica serovar Reading on Commercial Fresh-Cut Iceberg Lettuce Stored at Different Temperatures F Tarlak, G Johannessen, I Bascón Villegas, A Bolívar, ... Foods 9 (7), 946, 2020 | 16 | 2020 |
| Prediction of indigenous Pseudomonas spp. growth on oyster mushrooms (Pleurotus ostreatus) as a function of storage temperature E Manthou, F Tarlak, A Lianou, M Ozdemir, GI Zervakis, EZ Panagou, ... LWT 111, 506-512, 2019 | 16 | 2019 |
| A new expanded modelling approach for investigating the bioprotective capacity of Latilactobacillus sakei CTC494 against Listeria monocytogenes in ready-to-eat fish products A Bolívar, F Tarlak, JCCP Costa, M Cejudo-Gómez, S Bover-Cid, G Zurera, ... Food Research International 147, 110545, 2021 | 14 | 2021 |
| The role of flexibility and optimality in the prediction of intracellular fluxes of microbial central carbon metabolism F Tarlak, H Sadıkoğlu, T Çakır Molecular BioSystems 10 (9), 2459-2465, 2014 | 13 | 2014 |
| 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 F Tarlak, F Pérez-Rodríguez Food Science and Technology International 28 (8), 672-682, 2022 | 12 | 2022 |
| Food Research Institute F Tarlak Journal of Food and Nutrition Research 60 (1), 76-86, 2021 | 11 | 2021 |
| Development and validation of one-step modelling approach for prediction of mushroom spoilage. F Tarlak Journal of Food & Nutrition Research 59 (4), 2020 | 10 | 2020 |
| The Effect of Probiotics on Various Diseases and their Therapeutic Role: An Update Review. F Hashempour-Baltork, M Sheikh, S Eskandarzadeh, F Tarlak, AD Tripathi, ... Journal of Pure & Applied Microbiology 15 (3), 2021 | 8 | 2021 |
| Modeling the Growth of Six Listeria monocytogenes Strains in Smoked Salmon Pâté A Bolívar, C Garrote Achou, F Tarlak, MJ Cantalejo, JCCP Costa, ... Foods 12 (6), 1123, 2023 | 6 | 2023 |
| Development of a Novel Growth Model Based on the Central Limit Theorem for the Determination of Beef Spoilage F Tarlak Applied Food Biotechnology 8 (2), 143-150, 2021 | 5 | 2021 |
| An intelligent based prediction of microbial behaviour in beef Ö Yücel, F Tarlak Food Control 148, 109665, 2023 | 3 | 2023 |
| Inactivation of Salmonella Typhimurium in fresh-cut lettuce during chlorine washing: Assessing the impacts of free chlorine concentrations and exposure times A Possas, GD Posada-Izquierdo, F Tarlak, F Jiménez-Jiménez, ... LWT 184, 115069, 2023 | 2 | 2023 |
| Prediction of Pseudomonas spp. Population in Food Products and Culture Media Using Machine Learning-Based Regression Methods F Tarlak, Ö Yücel Life 13 (7), 1430, 2023 | 2 | 2023 |
| Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach M Yildirim-Yalcin, O Yucel, F Tarlak Food Science and Technology International, 10820132231170286, 2023 | 2 | 2023 |
Fernando Perez-RodriguezProfesor Microbiologia Alimentos (UCO)uco.es üzerinde doğrulanmış e-posta adresine sahip
