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FoodSmartphone
Smartphone analyzers for on-site testing of food quality and safety

Background
The FoodSmartphone (Smartphone analyzers for on-site testing of food quality and safety) is a Horizon 2020 (FP8) project, aimed to develop a smartphone-based diagnostic and detection tool for simplified quick pre-selection of food quality and safety parameters. This is because food safety and quality tests are currently inefficient, expensive and ineffective and can not guarantee food safety for all consumers or prevent possible incidents of food fraud.

FoodSmartphone comprises 7 Training Sites (3 universities, 3 research centres, 1 innovation SME), plus 2 Partner Organisations (1 global food industry and 1 diagnostics SME). The consortium has been built upon highly complementary disciplines: (bio)analytical chemists, biologists, physicists, micro-engineers, mathematicians and food chemists will work together on the joint supra-disciplinary goal.

Consortium
==Overall Objectives Of FoodSmartphone == 1. To study the supra-disciplinary challenge of smartphone-based analysis systems having advanced biorecognition, signal transduction, microfluidic sample handling and image data handling solutions.

2. To develop user-friendly, rapid integrated sample preparation and smartphone-compatible Apps, to ultimately ensure adequate field implementation for both professionals and future Citizen Science.

3. To develop a unique range of smartphone-based on-site screening demonstrators for food quality and safety issues of concern, viz. for pesticides, allergens, mycotoxins, food spoilage organisms and marine toxins.

4. To deliver, through high level training, a group of multidisciplinary scientists who can integrate (bio)analytical chemistry, physics, micro-engineering and ICT knowledge into a common supra-disciplinary goal, to combat major socio-economic challenges, such as maintaining a healthy, safe and fair food supply.

5. To substantially improve the career prospects of early-stage researchers across academia, public research institutes and private industry sectors, particularly in SMEs.

==== 11 vacancies for PhD student projects ====

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 720325.

Dissemination/scientific publications
Suska A., Filippini D. Autonomous lab-on-a-chip generic architecture for disposables with integrated actuation. Scientific Reports 2019, 9:20320. (doi: 10.1038/s41598-019-55111-z)

Tsagkaris A.S., Uttl L., Pulkrabova J., Hajslova J.: Screening of carbamate and organophosphate pesticides in food matrices using an affordable and simple spectrophotometric acetylcholinesterase assay. Applied Sciences 2020, 10, 565. (doi:10.3390/app10020565)

Kuzmyn A. R., Nguyen A. T., Zuilhof H., Baggerman J.: Bioactive antifouling surfaces by visible-light-triggered polymerization, Advanced Materials Interfaces (2019) 6:1900351. (doi: doi.org/10.1002/admi.201900351)

Nelis J.L.D., Tsagkaris A.S., Zhao Y., Lou-Franco J., Nolan P., Zhou H., Cao C., Rafferty K., Hajslova J., Elliott C.T., Campbell K.: The end user sensor tree: An end-user friendly sensor database. Biosensors and Bioelectronics (2019) 130:245-253. (doi: doi.org/10.1016/j.bios.2019.01.055)

Nelis J. L. D., Bura L., Zhao Y., Burkin K. M., Rafferty K., Elliot C. T., Campbell K.: The Efficiency of Color Space Channels to Quantify Color and Color Intensity Change in Liquids, pH Strips, and Lateral Flow Assays with Smartphones. Sensors (2019) 19: 5104 (doi: doi.org/10.3390/s19235104)

Ross G. M. S., Salentijn G. IJ., Nielen M. W. F.: A Critical Comparison between Flow-through and Lateral Flow Immunoassay Formats for Visual and Smartphone-Based Multiplex Allergen Detection. Biosensors (2019) 9: 143. (doi: doi.org/10.3390/bios9040143)

Tsagkaris A.S., Nelis J.D.L., Ross G.M.S., Jafari S., Guercetti J., Kopper K., Zhao Y., Raferty K., Salvador J.P., Migliorelli D., Salentijn G.I.J., Campbell K., Marco M.P., Elliot C. T., Nielen M.W.F., Pulkrabova J., Hajslova J.: Critical assessment of recent trends related to screening and confirmatory analytical methods for selected food contaminants and allergens. TrAC Trends in Analytical Chemistry (2019) 121: 115688 (doi: doi.org/10.1016/j.trac.2019.115688)

Tsagkaris A.S., Pulkrabova J., Hajslova J., Filippini D.: Hybrid lab-on-a-chip injector system for autonomous carbofuran screening. Sensors (2019) 19: 5579. (doi: doi.org/10.3390/s19245579)

Nelis J., Elliott C., Campbell K.: The Smartphone’s Guide to the Galaxy (review): In Situ Analysis in Space. Biosensors (2018) 8(4): 96. (2018)(doi: doi.org/10.3390/bios8040096)

Ross G.M.S., Bremer M.G.E.G., Wichers J.H., van Amerongen A., Nielen M.W.F.: Rapid Antibody Selection Using Surface Plasmon Resonance for High-Speed and Sensitive Hazelnut Lateral Flow Prototypes, Biosensors (2018), 8(4): 130 (doi: doi.org/10.3390/bios8040130)

Ross G. M. S., Bremer M. G. E. G., Nielen M. W. F.: Consumer-friendly food allergen detection: moving towards smartphone-based immunoassays, Analytical and Bioanalytical Chemistry (2018) 410: 5353–5371(doi: doi.org/10.1007/s00216-018-0989-7)

Zhao Y., Elliott C.T., Zhou H., Campbell K.: Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain. IEEE International Symposium on Signal Processing and Information Technology 2018. (doi: doi.org/10.1109/ISSPIT.2018.8642637)