Our team

Articles in peer reviewed journals [4 Results]

• Arefi, A.; Sturm, B.; Babor, M.; Horf, M.; Hoffmann, T.; Höhne, M.; Friedrich, K.; Schroedter, L.; Venus, J.; Olszewska-Widdrat, A. (2024): Digital model of biochemical reactions in lactic acid bacterial fermentation of simple glucose and biowaste substrates. Heliyon. (19): p. 1-13. Online: https://doi.org/10.1016/j.heliyon.2024.e38791
• Arefi, A.; Sturm, B.; Hoffmann, T. (2024): Explainability of deep convolutional neural networks when it comes to NIR spectral data: a case study of starch content estimation in potato tubers. LWT-Food Science and Technology. : p. 0. Online: https://doi.org/10.1016/j.foodcont.2024.110979
• Nurkhoeriyati, T.; Arefi, A.; Kulig, B.; Sturm, B.; Hensel, O. (2023): Non-destructive monitoring of quality attributes kinetics during the drying process: A case study of celeriac slices and the model generalisation in selected commodities. Food Chemistry. (136379): p. 136379. Online: https://doi.org/10.1016/j.foodchem.2023.136379
• Arefi, A.; Sturm, B.; Hensel, O.; Raut, S. (2023): NIR monochrome imaging for monitoring of apple drying process: Light-emitting diode and band-pass filter imaging techniques. Food Bioscience. (August 2023): p. 102898. Online: https://doi.org/10.1016/j.fbio.2023.102898

Bookchapters and proceedings [3 Results]

• Tayyab, M.; Sturm, B.; Delele, M.; Arefi, A. (2024): 3D cloud point monitoring of purple carrots and golden kiwis during drying. In: Poster Abstracts. IX ISHS International Postharvest Symposium. p. 62-62. Online: https://airdrive.eventsair.com/eventsairaueprod/production-scienceevents-public/ea159e57bf7247d6872eb1f8f5766e4a
• Arefi, A.; Raut, S.; Nurkhoeriyati, T.; Ndisya, J.; Hensel, O.; Sturm, B. (2023): Is multispectral imaging a potential alternative to hyperspectral imaging to monitor the drying process of foodstuff?. In: Musielak, G.; Lechtanska, J.; Mierzwa, D.; Jaskulski, M.(eds.): Proceedings - 8th European Drying Conference - EuroDrying 2023. 8th European Drying Conference (EuroDrying 2023). Lodz University of Technology, Poznan University of Technology, Lodz, Poznan (Polen), (978-83-955437-4-6), p. 19-26. Online: https://tulodz-my.sharepoint.com/personal/maciej_jaskulski_p_lodz_pl/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fmaciej%5Fjaskulski%5Fp%5Flodz%5Fpl%2FDocuments%2FProceedings%5FEuroDrying2023%2Epdf&parent=%2Fpersonal%2Fmaciej%5Fjaskulski%5Fp%5Flodz%5Fpl%2FDocuments&ga=1
• Arefi, A.; Raut, S.; Nurkhoeriyati, T.; Ndisya, J.; Hensel, O.; Sturm, B. (2023): Is multispectral imaging a potential alternative to hyperspectral imaging to monitor the drying process of foodstuff?. In: Musielak, G.; Lechtanska, J.; Mierzwa, D.; Jaskulski, M.(eds.): Book of Abstracts - 8th European Drying Conference - EuroDrying 2023. 8th European Drying Conference (EuroDrying 2023). Lodz University of Technology, Poznan University of Technology, Lodz, Poznan (Polen), p. 22-22. Online: https://www.eurodrying2023.p.lodz.pl/wp-content/uploads/2023/07/Book_OF_Abstracts2.pdf.pdf

Orals and posters [6 Results]

• Tayyab, M.; Sturm, B.; Delele, M.; Arefi, A. (2024): 3D cloud point monitoring of purple carrots and golden kiwis during drying process.
• Arefi, A.; Hoffmann, T.; Sturm, B. (2024): Prediction of starch content in potato varieties using NIR-based deep neural networks.
• Arefi, A.; Zude-Sasse, M. (2023): Hyperspectral Imaging-Based Monitoring of Apple Fruit in Storage and Shelf Life.
• Arefi, A.; Marzban, N.; Olszewska-Widdrat, A.; Herrmann, C.; Hoffmann, T.; Horf, M.; Sturm, B. (2023): Why and how to bring digital twins to the value added chain of biomass and waste processing plants?.
• Arefi, A.; Raut, S.; Nurkhoeriyati, T.; Ndisya, J.; Hensel, O.; Sturm, B. (2023): Is multispectral imaging a potential alternative to hyperspectral imaging to monitor the drying process of foodstuff?.
• Raut, S.; Arefi, A.; Sturm, B. (2023): Influence of processing on pectin content in apple slices: A value chain case study.