2016
DOI: 10.1016/j.bios.2015.09.030
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Rapid detection of multiple foodborne pathogens using a nanoparticle-functionalized multi-junction biosensor

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Cited by 66 publications
(33 citation statements)
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“…The integration of nanomaterials in biosensors has provided significant improvements in terms of selectivity and analysis time of biosensing methods . Considering the type of nanomaterial for sensor applications is crucial, as most of these materials are rather costly or require lengthy synthesis procedures.…”
Section: Discussionmentioning
confidence: 99%
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“…The integration of nanomaterials in biosensors has provided significant improvements in terms of selectivity and analysis time of biosensing methods . Considering the type of nanomaterial for sensor applications is crucial, as most of these materials are rather costly or require lengthy synthesis procedures.…”
Section: Discussionmentioning
confidence: 99%
“…An example for the efficient simultaneous detection of pathogens is the research by Yamada et al., which is based on a multi‐junction array system. The authors report a single step bacterial detection method, using a single walled carbon nanotube‐ (SWCNT) based multi‐junction sensor . Four SWCNT coated wires were placed and soldered onto each disposable sensor chip device, to create a 2×2 junction array.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Both the security and safety of food products rely on the ability to detect identify and trace foodborne pathogens [1,2]. Foodborne pathogens detection methods have a great significance due to their biological threats to public health and economy.…”
Section: Introductionmentioning
confidence: 99%
“…The biosensor exhibited the selectivity against E. coli K12 and MS bacteriophage (García‐Aljaro and others ). Bio‐nano combinational junction sensor with functionalized SWCNTs has shown the potential for high‐performance biosensing to detect foodborne pathogens (Yamada and others , ). The junction sensor works to convert bioaffinity binding between target bacteria cell and antibodies into measurable electrical current signals (Figure A).…”
Section: Introductionmentioning
confidence: 99%