Literature DB >> 30769289

The end user sensor tree: An end-user friendly sensor database.

J L D Nelis1, A S Tsagkaris2, Y Zhao3, J Lou-Franco1, P Nolan1, H Zhou4, C Cao1, K Rafferty5, J Hajslova2, C T Elliott1, K Campbell6.   

Abstract

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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Database; Food contaminants; Pesticides; Repository; Sensors; Toxins

Mesh:

Substances:

Year:  2019        PMID: 30769289     DOI: 10.1016/j.bios.2019.01.055

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  6 in total

1.  The Efficiency of Color Space Channels to Quantify Color and Color Intensity Change in Liquids, pH Strips, and Lateral Flow Assays with Smartphones.

Authors:  Joost Laurus Dinant Nelis; Laszlo Bura; Yunfeng Zhao; Konstantin M Burkin; Karen Rafferty; Christopher T Elliott; Katrina Campbell
Journal:  Sensors (Basel)       Date:  2019-11-21       Impact factor: 3.576

Review 2.  Optical Screening Methods for Pesticide Residue Detection in Food Matrices: Advances and Emerging Analytical Trends.

Authors:  Aristeidis S Tsagkaris; Jana Pulkrabova; Jana Hajslova
Journal:  Foods       Date:  2021-01-05

Review 3.  Current Trends and Challenges for Rapid SMART Diagnostics at Point-of-Site Testing for Marine Toxins.

Authors:  Michael Dillon; Maja A Zaczek-Moczydlowska; Christine Edwards; Andrew D Turner; Peter I Miller; Heather Moore; April McKinney; Linda Lawton; Katrina Campbell
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

4.  Regulated and Non-Regulated Mycotoxin Detection in Cereal Matrices Using an Ultra-High-Performance Liquid Chromatography High-Resolution Mass Spectrometry (UHPLC-HRMS) Method.

Authors:  Aristeidis S Tsagkaris; Nela Prusova; Zbynek Dzuman; Jana Pulkrabova; Jana Hajslova
Journal:  Toxins (Basel)       Date:  2021-11-05       Impact factor: 4.546

Review 5.  Gold Nanozymes: From Concept to Biomedical Applications.

Authors:  Javier Lou-Franco; Bhaskar Das; Christopher Elliott; Cuong Cao
Journal:  Nanomicro Lett       Date:  2020-10-27

6.  A Hybrid Lab-on-a-Chip Injector System for Autonomous Carbofuran Screening.

Authors:  Aristeidis S Tsagkaris; Jana Pulkrabova; Jana Hajslova; Daniel Filippini
Journal:  Sensors (Basel)       Date:  2019-12-17       Impact factor: 3.576

  6 in total

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