This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861915. Coordinated by George-John Nychas gjn@aua.gr

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2022 – Published Scientific Articles

  1. Dragana Bartolić, Dragosav Mutavdžić, Jens Michael Carstensen, Slavica Stanković, Milica Nikolić, Saša Krstović & Ksenija Radotić (2022) Fluorescence spectroscopy and multispectral imaging for fingerprinting of aflatoxin-B1 contaminated (Zea mays L.) seeds: a preliminary study
  2. George Pampoukis, Anastasia E. Lytou, Anthoula A. Argyri, Efstathios Z. Panagou and George-John E. Nychas (2022) Recent Advances and Applications of Rapid Microbial Assessment from a Food Safety Perspective https://doi.org/10.3390/s22072800
  3. Niu H, Yang M, Qi Y, et al. (2022) Heat shock induces direct protection and cross-protection against simulated gastric fluid stress in Cronobacter sakazakii [J]. Food Microbiology, 2022, 103: 103948. DOI10.1016/j.fm.2021.103948
  4. Dong Q, Lu X, Gao B, et al. (2022) Lactiplantibacillus plantarum subsp. plantarum and fructooligosaccharides combination inhibits the growth, adhesion, invasion, and virulence of Listeria monocytogenes [J]. Foods, 2022, 11(2): 170. DOI10.3390/foods11020170
  5. Wang Y, Sun L, Hu L, et al. (2022) Adhesion and kinetics of biofilm formation and related gene expression of Listeria monocytogenes in response to nutritional stress [J]. Food Research International, 2022, 156: 111143. DOI: 10.1016/J.FOODRES.2022.111143
  6. Wu M, Dong Q, Lu X, et al. (2022) Placenta-related virulence factors in Listeria monocytogenes infection [J]. Chinese Journal of Biotechnology, 2022. DOI: 10.13345/j.cjb.210860
  7. Li X, Qin Y, Liu J, et al. (2022) Research progress in Risk Assessment of Foodborne Pathogens in Ready-to-eat Fruits and Vegetables [J]. Food and Fermentation Industries, 2022. DOI：10.13995/j.cnki.11-1802/ts.030512
  8. Chen Y, Dong Q, Liu Y, et al. (2022) Systematic review of Listeria monocytogenes from food and clinical samples in Chinese mainland from 2010 to 2019 [J]. Food Quality and Safety, 2022.
  9. Kong D, Sun D, Qiu R, et al. (2022). Rapid and nondestructive detection of marine fishmeal adulteration by hyperspectral imaging and machine learning. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 273: 120990. DOI: 10.1016/j.saa.2022.120990
  10. Zhao, Y., Zhang, J., Gouda, M., Zhang, C., Lin, L., Nie, P. & He, Y. (2022). Structure analysis and non-invasive detection of cadmium-phytochelatin2 complexes in plant by deep learning Raman spectrum. Journal of Hazardous Materials, 427, 128152.
  11. Jiang WW, Fang JH, Du MR, et al. Microplastics influence physiological processes, growth and reproduction in the Manila clam, Ruditapes philippinarum. Environmental Pollution, 2022, 293: 118502.
  12. Wang Shasha, Shen Xixi, Li Manman, Shen Juan, Tang Changbo, Wang Wei (2022). QuEChERS-Gas Chromatography-Triple Quadrupole Tandem Mass Spectrometry High-throughput Detection of Organophosphorus Pesticide Residues in Fresh Meat[J]. Food and Fermentation Industry, 2022,48 (05):262-271.DOI:10.13995/j.cnki.11-1802/ts.029702.
  13. Li Manman, Shen Xixi, Wang Shasha, Shen Juan, Tang Changbo, Wang Wei (2022).QuEChERS combined with gas chromatography-triple quadrupole tandem mass spectrometry for simultaneous determination of 17 organochlorine pesticide residues in livestock and poultry meat[J/OL]. Nanjing Agricultural University Journal.
  14. Liu Y, Zhang Y, Zhu L, et al. (2022) The acid tolerance responses of the Salmonella strains isolated from beef processing plants[J]. Food Microbiology, 2022: 103977.
  15. He W J, Chen N, Yu Z L, et al. (2022) Effect of tea polyphenols on the quality of Chinese steamed bun and the action mechanism[J]. Journal of Food Science, 2022.
  16. Tan C, Xu Q D, Chen N, et al. (2022) Effects of tea polyphenols on the quality of common carp (Cyprinus carpio) meat during freezing process and its action mechanism[J]. Journal of Food Processing and Preservation, 2022.
  17. Gao H X, Liang H Y, Chen N, et al. (2022) Potential of phenolic compounds in Ligustrum robustum (Rxob.) Blume as antioxidant and lipase inhibitors: Multi‐spectroscopic methods and molecular docking[J]. Journal of Food Science, 2022.
  18. Sun D, Xu Y, Cen H. (2022) Optical sensors: deciphering plant phenomics in breeding factories[J]. Trends in plant science, 2022, 27(2): 209-210.
  19. Wan L, Zhou W, He Y, et al. (2022) Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets[J]. Remote Sensing of Environment, 2022, 269: 112826.
  20. Tian L, Liu R, Zhou Z, et al. (2022) Probiotic Characteristics of Lactiplantibacillus Plantarum N-1 and Its Cholesterol-Lowering Effect in Hypercholesterolemic Rats[J]. Probiotics and Antimicrobial Proteins, 2022: 1-12.
  21. Niu H, Qi Y, Liu Y, et al. (2022) Heat shock in Cronobacter sakazakii induces direct protection and cross-protection against simulated gastric fluid stress[J]. Food Microbiology, 2022, 103: 103948.
  22. Liu J, Guo X, Zhang H, et al. (2022) First Report of Postharvest Fruit Rot Disease of Hardy Kiwifruit Caused by Diaporthe eres in China[J]. Plant Disease, 2021: PDIS-08-20-1705-PDN.
  23. Wei Z, Cui Y, Tian L, et al. (2021) Probiotic Lactiplantibacillus plantarum N‐1 could prevent ethylene glycol‐induced kidney stones by regulating gut microbiota and enhancing intestinal barrier function[J]. The FASEB Journal, 2021, 35(11): e21937.
  24. Fu Y, Wang Y, Lin W, et al. (2022) A novel non-destructive detection of deteriorative dried longan fruits using machine learning algorithms based on low field nuclear magnetic resonance[J]. Journal of Food Measurement and Characterization, 2022, 16(1): 652-661.
  25. Fu Y, Yu Y, Tan H, et al. (2022) Metabolomics reveals dopa melanin involved in the enzymatic browning of the yellow cultivars of East Asian golden needle mushroom (Flammulina filiformis)[J]. Food Chemistry, 2022, 370: 131295.
  26. Wu N, Weng S, Chen J, et al. (2022) Deep convolution neural network with weighted loss to detect rice seeds vigor based on hyperspectral imaging under the sample-imbalanced condition[J]. Computers and Electronics in Agriculture, 2022, 196: 106850.
  27. Jiang Z, Lu Y, Liu Z, et al. (2022) Drug resistance prediction and resistance genes identification in Mycobacterium tuberculosis based on a hierarchical attentive neural network utilizing genome-wide variants[J]. Briefings in Bioinformatics, 2022.
  28. Taha M F, Abdalla A, ElMasry G, et al. (2022) Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics[J]. Chemosensors, 2022, 10(2): 45.
  29. Yan G, Shi Z, Cui B, et al. (2022) Developing a new thermal comfort prediction model and web-based application for heat stress assessment in dairy cows[J]. Biosystems Engineering, 2022, 214: 72-89.
  30. Zhang H, Guo X, Tian L, et al. (2022). Antibiofilm activity of 3,3′-Diindolylmethane on Staphylococcus aureus and its disinfection on common food-contact surfaces[J/OL]. Food Science and Human Wellness:1-20[2022-04-02].
  31. Wang X, Dong P, Luo X, et al. (2022) The application of Raman spectroscopy in meat quality prediction and control[J/OL]. Food and Fermentation Industries, 1-11[2022-04-03]
  32. Yang K, Dong P, Liu Y, et al. (2022) Global Transcriptomic Analysis of Acid-adapted Salmonella Typhimurium by RNAsequence[J/OL]. Food Science:1-13[2022-04-03].
  33. Teng S, Lv Q, Bao H et al. (2022) Research on the Quality Control of Participating Proficiency Testing of Veterinary Drug Residues in Livestock and Poultry Products by Testing Laboratory[J]. China Food Safety Magazine, 2022(07):80-86
  34. Zhang H, Guo X, Bai J, et al. (2022) Antibiofilm activity of 3,3′-Diindolomethane on Salmonella enteritidis[J]. China Measurement & Test2022,48(01):60-67.
  35. Sequino G., Valentino V., Villani F., De Filippis F. (2022) Omics-based monitoring of microbial dynamics across the food chain for the improvement of food safety and quality Food Research International: 157, https://doi.org/10.1016/j.foodres.2022.111242
  36. Renxi Kang, Xiao Wang, Ming Zhao, Lisa E. Henihan, Colm P. O’Donnell, A comparison of benchtop and micro NIR spectrometers for infant milk formula powder storage time discrimination and particle size prediction using chemometrics and denoising methods, Journal of Food Engineering, Volume 329, 2022, 111087, ISSN 0260-8774, https://doi.org/10.1016/j.jfoodeng.2022.111087.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861915. Coordinated by George-John Nychas gjn@aua.gr

© 2020 

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