posted on 2019-03-08, 11:32authored byJ Nelis, A Tsagkaris, Y Zhao, J Lou-Franco, P Nolan, H Zhou, C Cao, K Rafferty, J Hajslova, C Elliott, K Campbell
Detailed knowledge regarding sensor based technologies for the detection of food contamination often remains concealed within scientific journals or divided between numerous commercial kits which prevents optimal connectivity between companies and end-users. To overcome this barrier The End user Sensor Tree (TEST) has been developed. TEST is a comprehensive, interactive platform including over 900 sensor based methods, retrieved from the scientific literature and commercial market, for aquatic-toxins, mycotoxins, pesticides and microorganism detection. Key analytical parameters are recorded in excel files while a novel classification system is used which provides, tailor-made, experts’ feedback using an online decision tree and database introduced here. Additionally, a critical comparison of reviewed sensors is presented alongside a global perspective on research pioneers and commercially available products. The lack of commercial uptake of the academically popular electrochemical and nanomaterial based sensors, as well as multiplexing platforms became
very apparent and reasons for this anomaly are discussed.
Funding
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. The authors would also like to acknowledge BioMensio Limited, Finland for the sponsorship of the MPhil for Philana Nolan.
History
Citation
Biosensors and Bioelectronics, Volume 130, 1 April 2019, pp. 245-253
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics
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