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

delete2019-04-01
delete28
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OA
AI
J
Joost L.D. Nelis
A
Aristeidis S. Tsagkaris
Y
Yunfeng Zhao
J
Javier Lou-Franco
P
Philana Nolan
H
Huiyu Zhou
C
Cuong Cao
K
Karen Rafferty
J
Jana Hajšlová
C
Christopher T. Elliott
K
Katrina Campbell *
DOI:10.1016/j.bios.2019.01.055delete
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摘要

摘要

En 中文
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.
Keyword:
Sensors
Repository
Database
Toxins
Pesticides
Food contaminants
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期刊

Biosensors and Bioelectronics 封面图
Biosensors and Bioelectronics
IF:
10.5
论文数:
1.8W
被引数:
7.7W

机构

Q
Queen's University Belfast
学者数:
1.6W
论文数: 1.7W
被引数: 2.5W
U
university of chemistry & technology, prague
学者数:
5.6K
论文数: 4.4K
被引数: 3
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