Nasze publikacje - Katedra Mleczarstwa i Inżynierii Procesowej

Nasze publikacje

WYKAZ PUBLIKACJI NAUKOWYCH

ZA LATA 2020 – 2023

2023

Bielska P., Skotarczak E., Cais-Sokolińska D., Teichert J. (2023): Determinants of the attitudes of proinnovative dairy consumers and a model simulating consumer behavior regarding increasing calcium intake. Nutrition, 109, 111983. MEN2023=140; IF2022= 4,4 https://doi.org/10.1016/j.nut.2023.111983

Kaczyński Ł.K., Cais-Sokolińska D., Bielska P., Teichert J., Biegalski J., Yiğit A., Chudy S. (2023): The influence of the texture and color of goat’s salad cheese on the emotional reactions of consumers compared to cow’s milk cheese and Feta cheese. European Food Research and Technology. MEN2023=70; IF2022= 3,3 https://doi.org/10.1007/s00217-023-04211-2

Yiğit A., Bielska P., Cais-Sokolińska D., Samur G. (2023): Whey proteins as a functional food: Health effects, functional properties, and applications in food. Journal of the American Nutrition Association (prev. Journal of the American College of Nutrition). MEN2023=20; IF2022= 3,3 https://doi.org/10.1080/27697061.2023.2169208

Przybył K., Koszela K. (2023): Applications MLP and other methods in artificial intelligence of fruit and vegetable in convective and spray drying. Applied Sciences, 13(5), 2965. MEN2023=100; IF2022=2,7 https://doi.org/10.3390/app13052965  

Danielak M., Przybył K., Koszela, K. (2023): The need for machines for the nondestructive quality assessment of potatoes with the use of artificial intelligence methods and imaging techniques. Sensors, 23(4), 1787. MEN2023=100; IF2022=3,9 https://doi.org/10.3390/s23041787

Drożdżyńska A., Wawrzyniak J., Kubiak P., Przybylak M., Białas W., Czaczyk K. (2023): Optimization and modeling of Citrobacter freundii AD119 growth and 1,3-propanediol production using two-step statistical experimental design and artificial neural networks. Sensors, 23, 1266. MEN2023=100; IF2022=3,9 https://doi.org/10.3390/s23031266 

Baygut H., Cais-Sokolińska D., Bielska P., Teichert J. (2023): Fermentation kinetics, microbiological and physical properties of fermented soy beverage with acai powder. Fermentation, 9(4), 324. MEN2023=40; IF=2022=3,7 https://doi.org/10.3390/fermentation9040324

2022

Cais-Sokolińska D., Kaczyński Ł.K., Bielska P. (2022): Inhibition of galactooligosaccharide (GOS) degradation in high-heat-treated goat’s milk as a raw material for functional dairy products. Applied Sciences, 12(22), 11639. MEN2021=100; IF2022=2,7 https://doi.org/10.3390/app122211639

Przybył K., Adamski F., Wawrzyniak J., Gawrysiak-Witulska M., Stangierski J., Kmiecik D. (2022): Machine and deep learning in the evaluation of selected qualitative characteristics of sweet potatoes obtained under different convective drying conditions. Applied Sciences, 12(15), 7840. MEN2021=100 IF2022=2,7 https://doi.org/10.3390/app12157840

Al-Sammarraie M.A.J., Gierz Ł., Przybył K., Koszela K., Szychta M., Brzykcy J., Baranowska H.M. (2022): Predicting fruits sweetness using artificial intelligence - case study: orange. Applied Sciences, 12(16), 8233. MEN2021=100; IF2022=2,7 https://doi.org/10.3390/app12168233

Cais-Sokolińska D., Bielska P., Baranowska H.M., Tomaszewska-Gras J. (2022): Determining the behavior of water in buttermilk cheese with polymerized whey protein using differential scanning calorimetry and nuclear magnetic resonance analysis. Applied Sciences, 12(22), 11528. MEN2021=100; IF2022=2,7 https://doi.org/10.3390/app122211528

Bielska P., Cais-Sokolińska D., Dwiecki K. (2022): Effects of heat treatment duration on the electrical properties, texture and color of polymerized whey protein. Molecules, 27(19), 6395. MEN2021=140; IF2022=4,6 https://doi.org/10.3390/molecules27196395

Gierz Ł., Przybył K. (2022): Texture analysis and artificial neural networks for identification of cereals—case study: wheat, barley and rape seeds. Scientific Reports, 12, 19316. MEN2021=140; IF2022=4,6 https://doi.org/10.1038/s41598-022-23838-x

Cais-Sokolińska D., Walkowiak-Tomczak D., Rudzińska M. (2022): Photosensitized oxidation of cholesterol and altered oxysterol levels in sour cream: Effects of addition of cucumber pickles. Journal of Dairy Science, 105(6), 4760-4771. MEN2021=200; IF2022=3,5 https://doi.org/10.3168/jds.2022-21856

Walkowiak K., Przybył K., Baranowska H.M., Koszela K., Masewicz Ł., Piątek, M. (2022). The process of pasting and gelling modified potato starch with LF-NMR. Polymers, 14(1), 184. MEN2021=100; IF2022=5,0 https://doi.org/10.3168/jds.2022-21856

Wawrzyniak, J., Rudzińska, M., Gawrysiak-Witulska, M., Przybył, K. (2022): Predictive models of phytosterol degradation in rapeseeds stored in bulk based on artificial neural networks and response surface regression. Molecules, 27(8), 2445. MEN2021=140; IF2022=4,6 https://doi.org/10.3390/molecules27082445

Pawlak T., Pilarska A.A., Przybył K., Stangierski J., Ryniecki A., Cais-Sokolińska D., Pilarski K., Peplińska  B. (2022): Application of machine learning using color and texture analysis to recognize microwave vacuum puffed pork snacks. Applied Sciences, 12(10), 5071. MEN2021=100; IF2022=2,7 https://doi.org/10.3390/app12105071

Pilarska A.A., Pilarski K., Adamski M.R., Zaborowicz Z., Cais-Sokolińska D., Wolna-Maruwka A., Niewiadomska A.  (2022): Eco-friendly and effective diatomaceous earth/peat (DEP) microbial carriers in the anaerobic biodegradation of food waste products. Energies, 15(9), 3442. MEN2021=140; IF2022=3,2 https://doi.org/10.3390/en15093442

Gierz, Ł., Kruszelnicka, W., Robakowska, M., Przybył, K., Koszela, K., Marciniak, A., & Zwiachel, T. (2022): Optimization of the sowing unit of a piezoelectrical sensor chamber with the use of grain motion modeling by means of the discrete element method. case study: rape seed. Applied Sciences, 12(3), 1594. MEN2021=100; IF2022=2,7 https://doi.org/10.3390/app12031594

Biegalski, J., Cais-Sokolińska, D., Wawarzyniak, J. (2022): Effect of packaging and portioning on the dynamics of water–fat serum release from fresh Pasta Filata soft cheese. Foods, 11(3), 296. MEN2021=100; IF2022=5,2 https://doi.org/10.3390/foods11030296

Biega Foksowicz-Flaczyk, J., Wójtowski, J.A., Danków, R., Mikołajczak, P., Pikul, J., Gryszczyńska, A., Łowicki, Z., Zajączek, K., Stanisławski, D. (2022). The effect of herbal feed additives in the diet of dairy goats on intestinal lactic acid bacteria (LAB) count. Animals, 12, 255. MEN2021=100; IF2022=3,0 https://doi.org/10.3390/ani12030255

Biegalski, J., Cais-Sokolińska, D. (2022): Produkty z mleka owczego w kontekście oczekiwań konsumentów. Zagadnienia Doradztwa Rolniczego, 1(107), 42-64. MEN2021=20

2021
Bielska, P., Cais-Sokolińska, D., Teichert, J., Biegalski, J., Kaczyński, Ł.K., Chudy, S. (2021): Effect of honeydew honey addition on the water activity and water holding capacity of kefir in the context of its sensory acceptability. Scientific Reports, 11, 22956. MEN2021=140; IF2020= 4,380 https://doi.org/10.1038/s41598-021-02424-7

Biegalski, J., Cais-Sokolińska, D., Tomaszewska-Gras, J., Baranowska, H.M. (2021): The efect of freezing sheep’s milk on the meltability, texture, melting and fat crystallization profiles of fresh pasta filata cheese. Animals, 11, 2740. MEN2021=100; IF2020=2,752 https://doi.org/10.3390/ani11092740

Chudy, S., Makowska, A., Krzywdzińska‐Bartkowiak, M., Piątek, M., Henriques, M., Borges, A.R., Gomes, D., Pereira, C.D. (2021): The effect of microparticulated whey protein on the characteristics of reduced‐fat cheese and of the corresponding microwave vacuum‐dried cheese puffs and finely ground puffs. International Journal of Dairy Technology, Online Version. MEN2021=40; IF2020=4.374 https://doi.org/10.1111/1471-0307.12796

Czyżak-Runowska, G., Wójtowski, J.A., Danków, R., Stanisławski, D. (2021): Mare’s milk from a small Polish specialized farm—basic chemical composition, fatty acid profile, and healthy lipid indices. Animals, 11, 1590. MEN2021=100; IF2020=2,752 https://doi.org/10.3390/ani11061590

Gawałek, J. (2021): Effect of Spray Dryer Scale Size on the Properties of Dried Beetroot Juice. Molecules, 26, 6700. MEN2021 140; IF2021=4,412 https://doi.org/10.3390/molecules26216700

Staniszewski, R., Cais-Sokolińska, D., Kaczyński, Ł.K., Bielska, P. (2021): Use of bioluminescence for monitoring brown coal mine waters from deep and surface drainage. Energies, 14, 3558. MEN2021=140; IF2020=3,004 https://doi.org/10.3390/en14123558

Teichert, J.,  Cais-Sokolińska, D., Bielska, P., Danków, P., Chudy, S., Kaczyński, Ł.K., Biegalski, J. (2021): Milk fermentation affects amino acid and fatty acid profile of mare milk from Polish Coldblood mares. International Dairy Journal, 121, 105137. MEN2021=140; IF2020=3,032 https://doi.org/10.1016/j.idairyj.2021.105137

Przybył, K., Samborska, K., Koszela, K., Masewicz, Ł., Pawlak, T. (2021): Artificial neural networks in the evaluation of the influence of the type and content of carrier on selected quality parameters of spray dried raspberry powders. Measurement, Pre-proof. MEN2021=200; IF2020=3,927 https://doi.org/10.1016/j.measurement.2021.110014

Gancarz, M., Malaga-Toboła, U., Oniszczuk, A., Tabor, S., Oniszczuk, T., Gawrysiak-Witulska, M., Rusinek, R. (2021): Detection and measurement of aroma compounds with the electronic nose and a novel method for MOS sensor signal analysis during the wheat bread making process. Food and Bioproducts Processing 127, 90–98. MEN2021=140; IF2020=4,481 https://doi.org/10.1016/j.fbp.2021.02.011

Rusinek, R., Kmiecik, D., Gawrysiak-Witulska, M., Malaga-Toboła, U., Tabor, S., Findura, P., Siger, A., Gancarz, M. (2021): Identification of the olfactory profile of rapeseed oil as a function of heating time and ratio of volume and surface area of contact with oxygen using an electronic nose. Sensors, 21, 303. MEN2021=100; IF2020=3,576 https://doi.org/10.3390/s21010303

Rusinek, R., Gawrysiak-Witulska, M., Siger, A., Oniszczuk, A., Ptaszyńska, A.A., Knaga, J., Malaga-Toboła, U., Gancarz, M. (2021): Effect of supplementation of flour with fruit fiber on the volatile compound profile in bread. Sensors, 21(8), 2812. MEN2021=100; IF2020=3,576 https://doi.org/10.3390/s21082812

Rusinek, R., Siger, A., Gawrysiak‐Witulska, M., Rokosik, E., Malaga‐Toboła, U., Gancarz, M. (2020): Application of an electronic nose for determination of pre‐pressing treatment of rapeseed based on the analysis of volatile compounds contained in pressed oil. International Journal of Food Science and Technology, 55, 2161–2170. MEN2021=70; IF2020=3,713 https://doi.org/10.1111/ijfs.14392

Pilarska, A.A., Boniecki, P., Idzior-Haufa, M., Zaborowicz, M., Pilarski, K., Przybylak, A., Piekarska-Boniecka, H. (2021): Image analysis methods in classifying selected malting barley varieties by neural modelling. Agriculture-Basel, 11, 732. MEN2021=100; IF2020=2,925 https://doi.org/10.3390/agriculture11080732

Piekutowska, M., Niedbała, G., Piskier, T., Lenartowicz, T., Pilarski, K., Wojciechowski, T., Pilarska, A.A., Czechowska-Kosacka, A. (2021): The application of multiple linear regression and artificial neural network models for yield prediction of very early potato cultivars before harvest. Agronomy, 11, 885. MEN2021=100; IF2020=3,417 https://doi.org/10.3390/agronomy11050885

Wolna-Maruwka, A., Piechota, T., Niewiadomska, A., Kamiński, A., Kayzer, D., Grzyb, A., Pilarska, A.A. (2021): The effect of biochar-based organic amendments on the structure of soil bacterial community and yield of maize (Zea mays L.). Agronomy, 11, 1286. MEN2021=100; IF2020=3,417 https://doi.org/10.3390/agronomy11071286

Idzior-Haufa, M., Pilarska, A.A., Gajewski, T., Szajek, K., Faściszewski, Ł., Boniecki, P., Pilarski, K., Łukaszewska-Kuska, M., Dorocka-Bobkowska, B. (2021): Assessment of contact pressures between a mandibular overdenture and the prosthodontic area. Applied Sciences-Basel, 11, 4339. MEN2021=70; IF2020=2,679 https://doi.org/10.3390/app11104339

Pilarska, A.A., Wolna-Maruwka, A., Niewiadomska, A., Pilarski, K., Adamski, M., Grzyb, A., Grządziel, J., Gałązka, A. (2021): Silica/lignin carrier as a factor increasing the process performance and genetic diversity of microbial communities in laboratory-scale anaerobic digesters. Energies, 14, 4429. MEN2021=140; IF2020=3,004 https://doi.org/10.3390/en14154429

Idzior-Haufa, M., Pilarska, A.A., Hędzelek, W., Boniecki, P., Pilarski, K., Dorocka-Bobkowska, B. (2021): A comparison of biomechanical properties of implant-retained overdenture based on precision attachment type. Materials, 14, 2598. MEN2021=140; IF2020=3,623 https://doi.org/10.3390/ma14102598

Boniecki, P., Raba, B., Pilarska, A.A., Sujak, A., Zaborowicz, M., Pilarski, K., Wojcieszak, D. (2021): Neural reduction of image data in order to determine the quality of malting barley. Sensors, 21(17), 5696. MEN2021=100; IF2020=3,576 https://doi.org/10.3390/s21175696

Przybył, K., Koszela, K., Adamski, F., Samborska, K., Walkowiak, K., Polarczyk, M. (2021): Deep and machine learning using sem, ftir, and texture analysis to detect polysaccharide in raspberry powders. Sensors, 21(17), 5823. MEN2021=100; IF2020=3,576 https://doi.org/10.3390/s21175823

Gierz, Ł., Przybył, K., Koszela, K., Duda A., Ostrowicz, W. (2021): The use of image analysis to detect seed contamination - a case study of triticale. Sensors, 21(1), 151. MEN2021=100; IF2020=3,576 https://doi.org/10.3390/s21010151

Wawrzyniak, J. (2021): Model of fungal development in stored barley ecosystems as a prognostic auxiliary tool for postharvest preservation systems. Food and Bioprocess Technology, 14, 298-309. MEN2021=100; IF2020=4,465 https://doi.org/10.1007/s11947-020-02575-x

Wawrzyniak, J. (2021): Prediction of fungal infestation in stored barley ecosystems using artificial neural networks. LWT - Food Science and Technology, 137, 110367. MEN2021=100; IF2020=4,952 https://doi.org/10.1016/j.lwt.2020.110367

Cais-Sokolińska, D., Kaczyński, Ł.K., Bierzuńska, P., Skotarczak, E., Dobek, A. (2021): Consumer acceptance in context: Texture, melting, and sensory properties of fried ripened curd cheese. International Journal of Dairy Technology, 74(1), 225-234. MEN2021=40; IF2020=4.374 https://doi.org/10.1111/1471-0307.12747

Cais-Sokolińska, D., Walkowiak-Tomczak, D. (2021): Consumer-perception, nutritional, and functional studies of a yogurt with restructured elderberry juice. Journal of Dairy Science, 104(2), 1318–1335. MEN2021=200; IF2020=4.034 https://doi.org/10.3168/jds.2020-18770

2020
Teichert, J., Cais-Sokolińska, D., Danków, R., Pikul, J., Chudy, S., Bierzuńska, P., Kaczyński, Ł.K. (2020): Color stability of fermented mare’s milk and a fermented beverage from cow’s milk adapted to mare’s milk composition. Foods, 9 (2), 217. MEN2021=70; IF2020=4.350 https://doi.org/10.3390/foods9020217

Gierz, Ł., Przybył, K., Koszela, K., Markowski, P. (2020): The effectiveness of the application of a chemical agent (dressing) to seed potatoes by means of an innovative valve enabling intermittent flow of a liquid. Agriculture-Basel, 10(3), 85. MEN2021=100; IF2020=2,925 https://doi.org/10.3390/agriculture10030085

Boniecki, P., Zaborowicz, M., Pilarska, A., Piekarska-Boniecka, H. (2020): Identification process of selected graphic features apple tree pests by neural models type MLP, RBF and DNN. Agriculture-Basel, 10(6), 218. MEN2021=100; IF2020=2,925 https://doi.org/10.3390/agriculture10060218

Pilarski, K., Pilarska, A.A., Boniecki, P., Niedbała, G., Durczak, K., Witaszek, K., Mioduszewska, N., Kowalik, I. (2020): The efficiency of industrial and laboratory anaerobic digesters of organic substrates: the use of the biochemical methane potential correction coefficient. Energies, 13(5), 1280. MEN2021=140; IF2020=3,004 https://doi.org/10.3390/en13051280

Witaszek, K., Pilarski, K., Niedbała, G., Pilarska, A.A., Herkowiak, M. (2020): energy efficiency of comminution and extrusion of maize substrates subjected to methane fermentation. Energies, 13(8), 1887. MEN2021=140; IF2020=3,004 https://doi.org/10.3390/en13081887

Mioduszewska, N., Pilarska, A.A., Pilarski, K., Adamski, M. (2020): The influence of the process of sugar beet storage on its biochemical methane potential. Energies, 13(19), 5104. MEN2021=140; IF2020=3,004 https://doi.org/10.3390/en13195104

Pilarska, A.A., Wolna-Maruwka, A., Niewiadomska, A., Pilarski, K., Olesienkiewicz, A. (2020): A comparison of the influence of kraft lignin and the kraft lignin/silica system as cell carriers on the stability and efficiency of the anaerobic digestion process. Energies, 13, 5803. MEN2021=140; IF2020=3,004 https://doi.org/10.3390/en13215803

Gawałek, J., Domian, E. (2020): Tapioca dextrin as an alternative carrier in the spray drying of fruit juices - a case study of chokeberry powder. Foods, 9(8), 1125. MEN2021=70; IF2020=4.350 https://doi.org/10.3390/foods9081125

Gierz, Ł., Przybył, K., Koszela, K., Semkło, Ł., Kwiecień, S. (2020): An assessment of the functional and ecological aspect of novel intermittent stream valves for spraying seed potatoes. Agronomy-Basel, 10(4), 541. MEN2021=100; IF2020=3,417 https://doi.org/10.3390/agronomy10040541

Przybył, K., Wawrzyniak, J., Koszela, K., Adamski, F., Gawrysiak-Witulska, M. (2020): Application of deep and machine learning using image analysis to detect fungal contamination of rapeseed. Sensors, 20(24), 7305. MEN2021=100; IF2020=3,576 https://doi.org/10.3390/s20247305

Przybył, K., Gawałek, J., Koszela, K. (2020): Application of artificial neural network for the quality-based classification of spray-dried rhubarb juice powders. Journal of Food Science and Technology-Mysore, 1-11. MEN2021=70; IF2020=2,701 https://doi.org/10.1007/s13197-020-04537-9

Przybył, K., Duda, A., Koszela, K., Stangierski, J., Polarczyk, M., Gierz, Ł. (2020): Classification of dried strawberry by the analysis of the acoustic sound with artificial neural networks. Sensors, 20(2), 499. MEN2021=100; IF2020=3,576 https://doi.org/10.3390/s20020499

Wawrzyniak, J. (2020): A predictive model for assessment of the risk of mold growth in rapeseeds stored in a bulk as a decision support tool for postharvest management systems. Journal of the American Oil Chemists’ Society, 97, 915-927. MEN2021=70; IF2020=1,849 https://doi.org/10.1002/aocs.12365

Wawrzyniak, J. (2020): Application of artificial neural networks to assess the mycological state of bulk stored rapeseeds. Agriculture-Basel, 10(11), 567. MEN2021=100; IF2020=2,925 https://doi.org/10.3390/agriculture10110567

Marszałkiewicz, S., Siger, A., Gawrysiak-Witulska, M., Kmiecik, D., Rudzińska, M. (2020): The effect of drying temperature of milk thistle seeds on quality and bioactive compounds in the lipid fraction. Journal of Food Science and Technology-Mysore, 57, 4003–4013. MEN2021=70; IF2020=2,701 https://doi.org/10.1007/s13197-020-04431-4

Gawrysiak‐Witulska, M., Siger, A., Rudzińska, M., Bartkowiak‐Broda, I. (2020): The effect of drying on the native tocopherol and phytosterol content of Sinapis alba L. seeds. Journal of the Science of Food and Agriculture, 100, 354–361. MEN2021=100; IF2020=3,638 https://doi.org/10.1002/jsfa.10047

Chudy, S., Gierałtowska, U. (2020): Influence of the Background Color on the Cheese Color Parameters. International Journal of Dairy Science 15, 108–113. MEN2021=20 https://doi.org/10.3923/ijds.2020.108.113

Gawrysiak-Witulska, M., Rudzińska, M., Rusinek, R., Gancarz, M., Siger, A. (2020): Changes in phytosterol contents during rape seed storage under conditions simulating industrial silos. Journal of Stored Products Research, 88, 101687. MEN2021=100; IF2020=2,643 https://doi.org/10.1016/j.jspr.2020.101687

Makowska, A., Waśkiewicz, A., Chudy, S. (2020): Lignans in triticale grain and triticale products. Journal of Cereal Science, 93, 102939. MEN2021=140; IF2020=3,613 https://doi.org/10.1016/j.jcs.2020.102939

Chudy, S., Bilska, A., Kowalski, R., Teichert, J. (2020): Colour of milk and milk products in CIE L*a*b* space. Medycyna Weterynaryjna-Veterinary Medicine-Science and Practice, 76, 6327–2020. MEN2021=20; IF2020=0,383 https://doi.org/10.21521/mw.6327


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