Explore the words cloud of the MultiSens project. It provides you a very rough idea of what is the project "MultiSens" about.
The following table provides information about the project.
UNIVERSIDAD DE GRANADA
|Coordinator Country||Spain [ES]|
|Total cost||170˙121 €|
|EC max contribution||170˙121 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2017-02-01 to 2019-01-31|
Take a look of project's partnership.
|1||UNIVERSIDAD DE GRANADA||ES (GRANADA)||coordinator||170˙121.00|
The aim of MultiSens is to develop a revolutionary quality indicator platform for the food industry. This innovative intelligent packaging platform will alert the customer of the meat quality adding value and benefits across the food packaging supply chain, reducing waste, providing valuable end user feedback and help Europe maintain a market competitive advantage. In the EU alone, food waste along the supply chain has been estimated at approximately 89 million tonnes or 180 kg per capita per year, and is expected to rise to 126 million tonnes a year by 2020, unless action is taken. Currently households produce the largest share of EU food waste (42%) and experts estimate that reducing food waste at consumer level in developed countries by 30% could save roughly 400,000 sq/km2 of cropland by 2030. Normally, food products are packed in a Modified Atmosphere (MA), which consists of a mixture of gases optimised for the food being packaged. Tracking the composition inside the packages can be checked if this MA has been consistent or if the produce has already started to deteriorate. However, a non-destructive method for determining this MA has not, as yet, been reported. This project proposes to exploit the development and integration of a multi-membrane sensor in meat packages using imaging and communication capabilities of smart devices for freshness detection while employing innovative packaging methods for sensor integration. If the sensor is placed within / or on the package in such a way that it is in intimate contact with the packaged meat headspace, it will allow the monitoring of key gases within its surroundings and relay information about the quality of the meat. The economic and social impact of such a platform, even if reducing food produce waste by 10%, would be significant. The novelty of this project lies in high-quality sensor preparation, the innovative methods for sensors immobilisation and the easy, non-destructive method for detection.
|year||authors and title||journal||last update|
Isabel M. Perez de Vargas Sansalvador, Nuria Lopez Ruiz, M.M. Erenas, Luis Fermin Capitan Vallvey, Simon Coleman, Dermot Diamond, Maria Dolores Fernandez Ramos
Towards an autonomous microfluidic sensor for dissolved carbon dioxide determination
published pages: 216-221, ISSN: 0026-265X, DOI: 10.1016/j.microc.2018.02.018
|Microchemical Journal 139||2020-04-06|
P. Escobedo, I.M. Perez de Vargas-Sansalvador, N. Lopez-Ruiz, L.F. Capitan-Vallvey, A.J. Palma, M.A. Carvajal, A. Martinez-Olmos
Thermoelectric energy harvesting for oxygen determination in refrigerated intelligent packaging
published pages: 1-1, ISSN: 0018-9456, DOI: 10.1109/tim.2019.2911757
|IEEE Transactions on Instrumentation and Measurement||2020-04-06|
Isabel M. Perez de Vargas Sansalvador; Miguel M. Erenas; Antonio Martinez Olmos; Maria Dolores Fernandez Ramos; Luis F. Capitan Vallvey
Carbon dioxide sensors for food packaging
published pages: , ISSN: , DOI:
|Reference Module in Food Science||2020-04-06|
Miguel M. Erenas, BelÃ©n Carrillo-Aguilera, Kevin Cantrell, Sara Gonzalez-Chocano, Isabel Maria Perez de Vargas-Sansalvador, Ignacio de Orbe-PayÃ¡, Luis Fermin Capitan-Vallvey
Real time monitoring of glucose in whole blood by smartphone
published pages: 47-52, ISSN: 0956-5663, DOI: 10.1016/j.bios.2019.04.024
|Biosensors and Bioelectronics 136||2020-04-06|
Pablo Escobedo Araque, Isabel M. Perez de Vargas Sansalvador, Nuria Lopez Ruiz, Miguel M. Erenas Rodriguez, Miguel. A. Carvajal Rodriguez, Antonio Martinez Olmos
Non-Invasive Oxygen Determination in Intelligent Packaging Using a Smartphone
published pages: 4351-4357, ISSN: 1530-437X, DOI: 10.1109/jsen.2018.2824404
|IEEE Sensors Journal 18/11||2020-04-06|
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The information about "MULTISENS" are provided by the European Opendata Portal: CORDIS opendata.
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