Rasekh Mansour

Rasekh Mansour

Print Friendly, PDF & Email

Publikacje pracownika

  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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
X