Risultati finali Other (4) First implementation of software for PhasmaFOOD smart food analysis system Deliverable reporting on the first implementation of the software for the smart system. This deliverable will provide definition and structure of PhasmaFOOD data analysis/machine learning algorithms and models (for data mining, analysis and reactive/proactive decision making) portfolio to be used in form of soft sensors deployed throughout PhasmaFOOD platform. An extended version of the deliverable will be provided to EC as confidential, providing the software package for algorithms and models for data analysis. Sensing front-end sub-system implementation -v1 Deliverable reporting on the compliance to the system major requirements and optimization. An extended version of the deliverable will be provided to EC as confidential, documenting the fabricated sensing sub-system prototype, including a matrix of sensing devices and test of the optical functions. Initial version of the deliverable. Hardware Processing Platform, Storage and Communication units integration -v1 Deliverable reporting on the strategies followed to integrate the different units in a single platform. An extended version of the deliverable will be provided to EC as confidential, documenting the hardware processing sub-system, including processing chips, memory units and communication modules into a single electronic board. Initial version of the deliverable. Project website Public website operational. Demonstrators, pilots, prototypes (3) Implementation of embedded software for PhasmaFOOD smart food analysis platform -v1 Deliverable reporting on software solutions adopted to realize the sensory data management. An extended version of the deliverable will be provided to EC as confidential, documenting the software package targeting embedded algorithms, data processing for food analysis and communication data models and handlers. Initial version of the deliverable First version of system integration (s/w – h/w) Deliverable reporting on the 1st fully operational prototype. An extended version of the deliverable will be provided to EC as confidential, documenting the 1st complete board embedding the 1st generation SiP co-integrating processing unit and PCB with the sensing array component and the communication module with the cloud-based smartphone application. Final version of system integration (s/w – h/w) Deliverable reporting on the 2nd generation prototype with enhanced reliability. Documents, reports (27) Final project report on dissemination and exploitation This report will present a break-down of the dissemination and exploitation activities carried out during the second half of the project, and any updates to the data management plan. Dissemination Plan Report presenting the plan for dissemination, focusing on specific measures, activities and events, based on the general dissemination plan of the Project. It will update the dissemination targets and will used to evaluate the effectiveness of dissemination activities in D7.5 Feasibility results and use case benchmarking - v2 Report on the feasibility of the new micro-sensor applications for detection of contamination, spoilage and fraud of the food products selected. Second updated version of the deliverable. System specification and functional requirements -v3 Report on functional, non-functional and operational requirements as well as detailed system specification coming from tasks 1.2-1.3, applying to the PhasmaFOOD smart-system design. Final version of the deliverable. Detection Algorithms Report on the algorithms developed to predict the contamination, spoilage and authenticity/fraud features from the spectral data of the new micro-sensors. Report on System Reliability and Performance Report with a complete description of the PhasmaFOOD performance results based on lab and detailed compilation of obtained experimental data Technology Transfer, Impact and Innovation Directory This report will detail the technology transfer plan. Feasibility results and use case benchmarking -v1 Report on the feasibility of the new micro-sensor applications for detection of contamination, spoilage and fraud of the food products selected. Initial version of the deliverable. Initial version of the deliverable. Validation and Calibration activities -v2 Report on validation activities and calibration details for the first/final prototypes of the integrated device. Final version of the deliverable. Periodic management report - Period 1 In addition to the periodic activity reports requested by the EC, this report will provide an intermediate high-level overview of the project activities from M1-M12, M13-M24 and M25-M36 and describe the progress of the work in relation to project objectives and deliverables/milestones. It will also document any encountered problems and deviations from the work programme, a registry of identified project risks, and the actions planned and/or taken to address problems and risks. The report will also provide a description and justification of the resources used in the relevant reporting period. Business analysis High-level process and business plan (objectives, vision, goals, SWOT analysis, targeting market) for PhasmaFOOD smart sending device. An extended version of the deliverable will be provided to EC as confidential. Use cases description Description report of use cases scenarios/high level requirements and of the validation plan. Mid project report on dissemination and exploitation This report will present a break-down of the dissemination and exploitation activities carried out during the first half of the project, and any updates to the data management plan. Reference database building methods -v1 Spectral database of the samples analysed in the three case studies, i.e. for foods with various degrees of contamination, spoilage and authenticity/fraud issues. Initial version of the deliverable. Software specifications for PhasmaFOOD smart food analysis system This deliverable will provide definition for functional and system architecture of PhasmaFOOD cloud platform, data formatting techniques, API for transferring sensory and contextual data within PhasmaFOOD platform, data models for storing data in open cloud database and APIs for integration with available 3rd party open databases of sensory and contextual data relevant to PhasmaFOOD project goals. Validation and Calibration activities -v1 Report on validation activities and calibration details for the first/final prototypes of the integrated device. Initial version of the deliverable. System specification and functional requirements -v1 Report on functional, non-functional and operational requirements as well as detailed system specification coming from tasks 1.2-1.3, applying to the PhasmaFOOD smart-system design. Initial version of the deliverable. System specification and functional requirements -v2 Report on functional, non-functional and operational requirements as well as detailed system specification coming from tasks 1.2-1.3, applying to the PhasmaFOOD smart-system design. Second updated version of the deliverable. Feasibility results and use case benchmarking -v3 Report on the feasibility of the new micro-sensor applications for detection of contamination, spoilage and fraud of the food products selected. Final version of the deliverable. Hardware Processing Platform, Storage and Communication units integration -v2 Deliverable reporting on the strategies followed to integrate the different units in a single platform. Final version of the deliverable. Reference database building methods -v2 Spectral database of the samples analysed in the three case studies, i.e. for foods with various degrees of contamination, spoilage and authenticity/fraud issues. Final version of the deliverable. First version of smart system design This deliverable includes the first design of the whole smart system as an outcome of all WP2 tasks. It will adhere to the specifications derived in Task 1.3 and be submitted to the consortium for review. Sensing front-end sub-system implementation -v2 Deliverable reporting on the compliance to the system major requirements and optimization. Final version of the deliverable. Implementation of embedded software for PhasmaFOOD smart food analysis platform -v2 Deliverable reporting on software solutions adopted to realize the sensory data management. Final version of the deliverable. Sensing components subsystem design This deliverable includes the specifications of the subsystems to be integrated in the final smart system. A report on the single subsystem characteristics will be delivered. Implementation of software for integration in the PhasmaFOOD smart food analysis system Deliverable reporting on the implementation of the software for integration in the PhasmaFOOD smart food analysis system. Moreover, this deliverable will report results of implementation of PhasmaFOOD cognitive/context aware platform for food analysis based on algorithms, models and soft sensors defined in D4.2. Final version of smart system design This report will include the final design of the whole smart system as an outcome of all WP2 tasks. It will be the binding basis of system manufacture in WP5. This deliverable will include all the design files, including functional blocks and their description. Open Research Data Pilot (1) Data management plan This report will present in detail which data is available to the public, as part of the open data pilot. Pubblicazioni Conference proceedings (19) Detection of food spoilage using spectroscopy- and multispectral imaging-based sensors Autori: L. Fengou, A. Lianou, P. Tsakanikas, E.Z. Panagou, G.-J.E. Nychas Pubblicato in: 8th International Symposium on Recent Advances in Food Analyses (RAFA), 2017 Editore: RAFA 2017 PhasmaFOOD; Portable photonic miniaturised smart system for on-the-spot food quality sensing Autori: G.-J.E. Nychas, G. Koutalieris, P. Bourgos Pubblicato in: 10th International Conference on Predictive Modelling in Food, 2017 Editore: 10th International Conference on Predictive Modelling in Food Microbiological quality assessment of aquacultured fish using Fourier transform infrared spectroscopy Autori: L. Fengou, A. Lianou, E. Gkana, E.Z. Panagou, G.-J.E. Nychas Pubblicato in: "31st EFFoST International Conference ""Food Science and Technology Challenges for the 21st Century-Research to Progress Society""", 2017 Editore: "31st EFFoST International Conference ""Food Science and Technology Challenges for the 21st Century-Research to Progress Society""" PhasmaFOOD, Portable photonic miniaturised smart system for on-the-spot food quality sensing Autori: P. Bourgos, A. Gerandino and S. Hintschich and M. Tosic, G. Nychas, G. Koutalieris, Y. Weesepoel, G. Wunder, E. Martinelli, M. Logothetis, P. Vlacheas, P. Demestichas Pubblicato in: Studies in Computational Intelligence, 2017 Editore: Springer A photonic smart system for food quality and safety sensing: first integration and measurement results Autori: F.R. Bertani, P. Bourgos, L. Businaro, L. Gambacorta, A. Gerardino , S. Hintschich, G. Koutalieris, M. Logothetis, E. Martinelli , G.J. Nychas, .M.Solfrizzo, M. Tosic, G. Wunder Pubblicato in: 23rd International Conference on Micro and Nano Engineering, 2017 Editore: MNE2017 Miniature Photonic System For Next Generation Food Quality Authentication Autori: S. Hintschich and P. Reinig Pubblicato in: Proceedings of ICNIRS2017, 2017 Editore: ICNIRS2017 The key role of process analytical technologies, information technology and predictive modelling in enhancing food safety Autori: F. Mohareb, E.Z. Panagou, G.J. Nychas Pubblicato in: 10th International Conference on Predictive Modelling in Food, 2017 Editore: 10th International Conference on Predictive Modelling in Food NIR spectroscopy in food sensing – a combined sensing approach Autori: Susanne Hintschich, Hans-Georg Dallmann, Heinrich Grüger, Jens Knobbe, Michael Leuckefeld, Tino Pügner, Peter Reinig, F. R. Bertani, P. Bourgos, L. Businaro, A. Gerardino, G. Koutalieris, E. Martinelli, G.J. Nychas, M. Tosic, Y.Weesepoel, G. Wunder Pubblicato in: 8th International Symposium on Recent Advances in Food Analysis (RAFA 2017, Book of Abstracts), 2017 Editore: RAFA2017 PhasmaFOOD: A Food Sensing Device and an Open Software Architecture delivering Food-Tech Innovation Autori: G. Koutalieris, Y. Weesepoel Pubblicato in: 8th International Symposium on Recent Advances in Food Analyses (RAFA 2017, Book of Abstracts), 2017 Editore: RAFA 2017 The role of information technologies (IT) and process analytical technology (PAT) in the determination of fraud, quality and safety of foods Autori: G.-J.E. Nychas, E.Z. Panagou Pubblicato in: 1st Athens Innovation Festival, 2017 Editore: 1st Athens Innovation Festival Estimation of the microbiological quality of minced pork using Fourier transform infrared spectroscopy and multispectral imaging Autori: L. Fengou, E. Spyrelli, A. Lianou, P. Tsakanikas, G.-J.E. Nychas Pubblicato in: IAFP European Symposium, 2018 Editore: IAFP European Symposium Microbiological spoilage of cut ready-to-eat pineapple during storage under different temperature conditions Autori: E. Manthou, V. Dagres, A. Lianou, G.-J.E. Nychas Pubblicato in: IAFP European Symposium, 2018 Editore: IAFP European Symposium Exploitation of Information Technology for state-of-the-art food quality assessment systems Autori: P. Tsakanikas Pubblicato in: Athens Science Festival, 2018 Editore: Athens Science Festival Innovation in Greek Agriculture Autori: G. Nychas Pubblicato in: 3rd Agricultural Conference of Naftemporiki, 2018 Editore: Naftemporiki An Information Technology based platform for food safety and quality management systems Autori: G.-J. Nychas Pubblicato in: 26th International ICFMH Conference - FoodMicro 2018, 2018 Editore: FoodMicro 2018 Infrared spectroscopy and multispectral imaging as means of assessing the microbiological spoilage of minced pork stored under modified atmosphere packaging Autori: L.-C. Fengou, E. Spyrelli, A. Lianou, E.Z. Panagou, G.-J.E. Nychas Pubblicato in: 26th International ICFMH Conference - FoodMicro 2018, 2018 Editore: FoodMicro 2018 Modelling the growth kinetics of Pseudomonas spp. on Pleurotus ostreatus mushrooms under non-isothermal conditions Autori: F. Tarlak, E. Manthou, V. Dagres, A. Lianou, M. Ozdemir, G.-J.E. Nychas Pubblicato in: 26th International ICFMH Conference - FoodMicro 2018, 2018 Editore: FoodMicro 2018 Spectroscopy-based sensors under a unified feature selection approach for microbial contamination and storage time prediction of ready-to-eat rocket Autori: P. Tsakanikas, E. Manthou, L.-C. Fengou, A. Lianou, E.Z. Panagou, G.-J.E. Nychas Pubblicato in: 26th International ICFMH Conference - FoodMicro 2018, 2018 Editore: FoodMicro 2018 Implementation of communication technologies in tandem with bioinformatics for the assessment of food quality and safety Autori: G.-J. Nychas, E. Simms, E.Z. Panagou, F. Mohareb Pubblicato in: European Conference on Computational Biology-ECCB 2018, 2018 Editore: ECCB 2018 Other (2) PhasmaFOOD – a combined sensing approach for food safety Autori: S. Hintschich, R. Zschiedrich Pubblicato in: 2018 Editore: Sächsisches Staatsministerium für Wissenschaft und Kunst PhasmaFOOD – a combined sensing approach for food safety Autori: S. Hintschich, R. Zschiedrich Pubblicato in: „Europäische Mittel und sächsische Ideen – wir forschen für die Zukunft“, 2017 Editore: Sächsisches Staatsministerium für Wissenschaft und Kunst Peer reviewed articles (5) MycoKey Round Table Discussions of Future Directions in Research on Chemical Detection Methods, Genetics and Biodiversity of Mycotoxins Autori: John Leslie, Veronica Lattanzio, Kris Audenaert, Paola Battilani, Jeffrey Cary, Sofia Chulze, Sarah De Saeger, Annamaria Gerardino, Petr Karlovsky, Yu-Cai Liao, Chris Maragos, Giuseppe Meca, Angel Medina, Antonio Moretti, Gary Munkvold, Giuseppina Mulè, Patrick Njobeh, Ivan Pecorelli, Giancarlo Perrone, Amedeo Pietri, Juan Palazzini, Robert Proctor, Endang Rahayu, Maria Ramírez, Robert Samson, J Pubblicato in: Toxins, Numero 10/3, 2018, Pagina/e 109, ISSN 2072-6651 Editore: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/toxins10030109 Evaluation of Fourier transform infrared spectroscopy and multispectral imaging as means of estimating the microbiological spoilage of farmed sea bream (under revision) Autori: L.-C. Fengou, A. Lianou, P. Tsakanikas, E.N. Gkana, E.Z. Panagou, G.-J.E. Nychas Pubblicato in: Food Microbiology, 2019, ISSN 0000-0000 Editore: Elsevier A unified spectra analysis workflow for the assessment of microbial contamination ready-to-eat green salads: Comparative study and application of non-invasive sensors (under revision) Autori: P. Tsakanikas, L. Fengou, E. Manthou, A. Lianou, E.Z. Panagou, G.-J.E. Nychas Pubblicato in: Computers and Electronics in Agriculture, 2018, ISSN 0000-0000 Editore: Elsevier Estimation of Minced Pork Microbiological Spoilage through Fourier Transform Infrared and Visible Spectroscopy and Multispectral Vision Technology Autori: Lemonia-Christina Fengou, Evgenia Spyrelli, Alexandra Lianou, Panagiotis Tsakanikas, Efstathios Z. Panagou, George-John E. Nychas Pubblicato in: Foods, Numero 8/7, 2019, Pagina/e 238, ISSN 2304-8158 Editore: 12th Panhellenic Scientific Conference of Chemical Engineering DOI: 10.3390/foods8070238 Self-Repairing classification algorithms for chemical sensor array Autori: Gabriele Magna, Corrado Di Natale, Eugenio Martinelli Pubblicato in: Sensors and Actuators B: Chemical, Numero 297, 2019, Pagina/e 126721, ISSN 0925-4005 Editore: Elsevier BV DOI: 10.1016/j.snb.2019.126721 È in corso la ricerca di dati su OpenAIRE... Si è verificato un errore durante la ricerca dei dati su OpenAIRE Nessun risultato disponibile
