The End user Sensor Tree: An end-user friendly sensor database

J.L.D. Nelis, A.S. Tsagkaris, Y. Zhao, J. Lou-Franco, P. Nolan, H. Zhou, C. Cao, K. Rafferty, J. Hajslova, C.T. Elliott, K. Campbell

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
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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.
Original languageUndefined/Unknown
JournalBiosensors and Bioelectronics
Early online date01 Feb 2019
Publication statusPublished - 2019


  • Sensors, repository, database, toxins, pesticides, food contaminants

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