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Portable photonic miniaturised smart system for on-the-spot food quality sensing

Deliverables

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.

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.

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.

Data management plan

This report will present in detail which data is available to the public, as part of the open data pilot.

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Publications

Detection of food spoilage using spectroscopy- and multispectral imaging-based sensors

Author(s): L. Fengou, A. Lianou, P. Tsakanikas, E.Z. Panagou, G.-J.E. Nychas
Published in: 8th International Symposium on Recent Advances in Food Analyses (RAFA), 2017

PhasmaFOOD; Portable photonic miniaturised smart system for on-the-spot food quality sensing

Author(s): G.-J.E. Nychas, G. Koutalieris, P. Bourgos
Published in: 10th International Conference on Predictive Modelling in Food, 2017

Microbiological quality assessment of aquacultured fish using Fourier transform infrared spectroscopy

Author(s): L. Fengou, A. Lianou, E. Gkana, E.Z. Panagou, G.-J.E. Nychas
Published in: "31st EFFoST International Conference ""Food Science and Technology Challenges for the 21st Century-Research to Progress Society""", 2017

PhasmaFOOD, Portable photonic miniaturised smart system for on-the-spot food quality sensing

Author(s): 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
Published in: Studies in Computational Intelligence, 2017

A photonic smart system for food quality and safety sensing: first integration and measurement results

Author(s): 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
Published in: 23rd International Conference on Micro and Nano Engineering, 2017

Miniature Photonic System For Next Generation Food Quality Authentication

Author(s): S. Hintschich and P. Reinig
Published in: Proceedings of ICNIRS2017, 2017

The key role of process analytical technologies, information technology and predictive modelling in enhancing food safety

Author(s): F. Mohareb, E.Z. Panagou, G.J. Nychas
Published in: 10th International Conference on Predictive Modelling in Food, 2017

NIR spectroscopy in food sensing – a combined sensing approach

Author(s): 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
Published in: 8th International Symposium on Recent Advances in Food Analysis (RAFA 2017, Book of Abstracts), 2017

PhasmaFOOD: A Food Sensing Device and an Open Software Architecture delivering Food-Tech Innovation

Author(s): G. Koutalieris, Y. Weesepoel
Published in: 8th International Symposium on Recent Advances in Food Analyses (RAFA 2017, Book of Abstracts), 2017

The role of information technologies (IT) and process analytical technology (PAT) in the determination of fraud, quality and safety of foods

Author(s): G.-J.E. Nychas, E.Z. Panagou
Published in: 1st Athens Innovation Festival, 2017

Estimation of the microbiological quality of minced pork using Fourier transform infrared spectroscopy and multispectral imaging

Author(s): L. Fengou, E. Spyrelli, A. Lianou, P. Tsakanikas, G.-J.E. Nychas
Published in: IAFP European Symposium, 2018

Microbiological spoilage of cut ready-to-eat pineapple during storage under different temperature conditions

Author(s): E. Manthou, V. Dagres, A. Lianou, G.-J.E. Nychas
Published in: IAFP European Symposium, 2018

Exploitation of Information Technology for state-of-the-art food quality assessment systems

Author(s): P. Tsakanikas
Published in: Athens Science Festival, 2018

Innovation in Greek Agriculture

Author(s): G. Nychas
Published in: 3rd Agricultural Conference of Naftemporiki, 2018

An Information Technology based platform for food safety and quality management systems

Author(s): G.-J. Nychas
Published in: 26th International ICFMH Conference - FoodMicro 2018, 2018

Infrared spectroscopy and multispectral imaging as means of assessing the microbiological spoilage of minced pork stored under modified atmosphere packaging

Author(s): L.-C. Fengou, E. Spyrelli, A. Lianou, E.Z. Panagou, G.-J.E. Nychas
Published in: 26th International ICFMH Conference - FoodMicro 2018, 2018

Modelling the growth kinetics of Pseudomonas spp. on Pleurotus ostreatus mushrooms under non-isothermal conditions

Author(s): F. Tarlak, E. Manthou, V. Dagres, A. Lianou, M. Ozdemir, G.-J.E. Nychas
Published in: 26th International ICFMH Conference - FoodMicro 2018, 2018

Spectroscopy-based sensors under a unified feature selection approach for microbial contamination and storage time prediction of ready-to-eat rocket

Author(s): P. Tsakanikas, E. Manthou, L.-C. Fengou, A. Lianou, E.Z. Panagou, G.-J.E. Nychas
Published in: 26th International ICFMH Conference - FoodMicro 2018, 2018

Implementation of communication technologies in tandem with bioinformatics for the assessment of food quality and safety

Author(s): G.-J. Nychas, E. Simms, E.Z. Panagou, F. Mohareb
Published in: European Conference on Computational Biology-ECCB 2018, 2018

PhasmaFOOD – a combined sensing approach for food safety

Author(s): S. Hintschich, R. Zschiedrich
Published in: 2018

PhasmaFOOD – a combined sensing approach for food safety

Author(s): S. Hintschich, R. Zschiedrich
Published in: „Europäische Mittel und sächsische Ideen – wir forschen für die Zukunft“, 2017

MycoKey Round Table Discussions of Future Directions in Research on Chemical Detection Methods, Genetics and Biodiversity of Mycotoxins

Author(s): 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
Published in: Toxins, Issue 10/3, 2018, Page(s) 109, ISSN 2072-6651
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)

Author(s): L.-C. Fengou, A. Lianou, P. Tsakanikas, E.N. Gkana, E.Z. Panagou, G.-J.E. Nychas
Published in: Food Microbiology, 2019, ISSN 0000-0000

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)

Author(s): P. Tsakanikas, L. Fengou, E. Manthou, A. Lianou, E.Z. Panagou, G.-J.E. Nychas
Published in: Computers and Electronics in Agriculture, 2018, ISSN 0000-0000

Estimation of Minced Pork Microbiological Spoilage through Fourier Transform Infrared and Visible Spectroscopy and Multispectral Vision Technology

Author(s): Lemonia-Christina Fengou, Evgenia Spyrelli, Alexandra Lianou, Panagiotis Tsakanikas, Efstathios Z. Panagou, George-John E. Nychas
Published in: Foods, Issue 8/7, 2019, Page(s) 238, ISSN 2304-8158
DOI: 10.3390/foods8070238

Self-Repairing classification algorithms for chemical sensor array

Author(s): Gabriele Magna, Corrado Di Natale, Eugenio Martinelli
Published in: Sensors and Actuators B: Chemical, Issue 297, 2019, Page(s) 126721, ISSN 0925-4005
DOI: 10.1016/j.snb.2019.126721