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Publikacje pracownika
- 2024, Advanced evaluation techniques: Gas sensor networks, machine learning, and chemometrics for fraud detection in plant and animal products, Sensors and Actuators A: Physical, Volume 370, 115192, DOI: 10.1016/j.sna.2024.115192
- 2024, Effect of the roasting level on the content of bioactive and aromatic compounds in Arabica coffee beans, International Agrophysics, 38(1), DOI: 10.31545/intagr/176300
- 2024, E-nos with a matrix of polymer composite sensors for monitoring fungal degradation of stored repeseed, Polymer Science and Composite Materials (PolyScience2024), Barcelona, Spain, 26-28.08.2024 r.,
- 2023, Application of non-destructive sorting techniques for pepper (Capsicum annuum L.) using VOCs parameter, 14th International Conference on Agrophysics (ICA 2023); Lublin, Polska, 11-13 września 2023 r., 189-189
- 2023, Application of E-nose in pepper (Capsicum annuum L.) classification, 2nd International Conference on Food Technology & Nutrition, Paris, France, 13-15 marca 2023 r. , 1-1
- 2023, Detection of fraud in sesame oil with chemometrics methods and chemical compounds characterization by gas chromatography-mass spectrometry, 3nd International Conference on Food Technology & Nutrition, Paris, France, 17-19 lipca 2023 r., 1-1
- 2023, Impact of different drying approaches on VOCs and chemical composition of Mentha spicata L. essential oil: A combined analysis of GC/MS and E-nose with chemometrics methods, Industrial Crops and Products, 206,117595
- 2023, Determining the Influence of a Magnetic Field on the Vibration and Fuel Consumption of a Heavy Diesel Engine, Sustainability, 15(5), 4088; DOI:10.3390/su15054088
- 2023, Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning, Plos One, DOI: 10.1371/journal.pone.0284612
- 2023, Non-destructive test to detect adulteration of rice using gas sensors coupled with chemometrics methods, International Agrophysics, 37(3): 235-244; DOI: 10.31545/intagr/166009
- 2022, Impact of Coffee Bean Roasting on the Content of Pyridines Determined by Analysis of Volatile Organic Compounds, Molecules, 27, 1559, str. 1-12, DOI: 10.3390/molecules27051559
- 2022, Preliminary study non-destructive sorting techniques for pepper (Capsicum annuum L.) using odor parameter, LWT-FOOD SCIENCE AND TECHNOLOGY, DOI: 10.1016/j.lwt.2022.113667
- 2022, Hyperspectral imaging coupled with multivariate analysis and artificial intelligence to the classification of maize kernels, International Agrophysics, 36,str. 83-91, DOI: 10.31545/intagr/147227
- 2022, Detection of fraud in sesame oil with the help of artificial intelligence combined with chemometrics methods and chemical compounds characterization by gas chromatography–mass spectrometry, LWT Food Science and Technology, 167.113863, str. 1-12, DOI: 10.1016/j.lwt.2022.113863
- 2022, Application of MOS Gas Sensors Coupled with Chemometrics Methods to Predict the Amount of Sugar and Carbohydrates in Potatoes, Molecules, 27, 3508, str 1-19, DOI: 10.3390/molecules27113508
- 2022, Life Cycle Assessment for Environmental Impact Reduction and Evaluation of the Energy Indices in Lettuce Production, Applied Sciences, 12, 10348, str. 1-11, DOI: 10.3390/app122010348
- 2022, How to Identify Roast Defects in Coffee Beans Based on the Volatile Compound Profile, Molecules, 27, 8530; DOI:10.3390/ molecules27238530
- 2022, Determination of the influence of biostimulants on soil properties and field crop yields, International Agrophysics, 36, 351-359; DOI: 10.31545/intagr/155955
- 2022, Investigating Changes in pH and Soluble Solids Content of Potato during the Storage by Electronic Nose and Vis/NIR Spectroscopy, Foods, 6;11(24):4077, DOI: 10.3390/foods11244077.
- 2021, Classification and Identification of Essential Oils from Herbs and Fruits Based on a MOS Electronic-Nose Technology, Chemosensors, 9(6), 142; DOI: 10.3390/chemosensors9060142
- 2021, A Machine Learning Method for Classification and Identification of Potato Cultivars Based on the Reaction of MOS Type Sensor-Array, Sensors, 21(17),5836, str. 1-15, DOI: 10.3390/s21175836
- 2021, Performance Analysis of MAU-9 Electronic-Nose MOS Sensor Array Components and ANN Classification Methods for Discrimination of Herb and Fruit Essential Oils, Chemosensors, 9(9), 243, str. 1-17, DOI: 10.3390/chemosensors9090243
- 2021, Thermodynamic Evaluation of the Forced Convective Hybrid-Solar Dryer during Drying Process of Rosemary (Rosmarinus officinalis L.) Leaves, Energies, 14,5835, str. 1-16, DOI: 10.3390/en14185835
