DocumentCode :
189738
Title :
Integrated Point-of-Care SiNW biosensors
Author :
Mohd Azmi, M.A. ; Tehrani, Z. ; Thomas, D. ; Blayney, G.J. ; Guy, O.J.
Author_Institution :
Coll. of Eng., Swansea Univ., Swansea, UK
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
885
Lastpage :
888
Abstract :
A SiNW sensor consisting of a SiNW, functionalised with a “bioreceptor” which can interact selectively with a target biomarker, has been developed. By attaching aniline to a SiNW, via coupling with an aryl diazonium salt, the amino group of the aniline molecule has been used to graft antibodies - targeted against 8-hydroxydeoxyguanosine (8-OHdG) - onto the SiNW surface. Antibody attachment to SiNW surfaces has been verified using Laser Scanning Confocal Microscopy (LSCM) to detect quantum-dot labelled antibodies bound to the SiNW surface. The current-voltage (I-V) characteristics of the silicon nanowire devices show an increase in resistivity upon chemical functionalization with aniline. A decrease in resistivity is seen on binding of the bioreceptor antibody. The antibody-functionalised SiNW sensor has been used to detect binding of the 8-OHdG biomarker to the SiNW surface within seconds of exposure. SiNW devices have been bonded to a disposable “bio-smartcard” and subsequently slotted into an electronic readout device. This system has been specifically developed for Point-of-Care (POC) use.
Keywords :
biosensors; laser applications in medicine; nanowires; optical microscopy; organic compounds; silicon; 8-hydroxydeoxyguanosine; Laser Scanning Confocal Microscopy; Si; amino group; antibodies; antibody attachment; bioreceptor; chemical functionalization; current-voltage characteristics; diazonium salt; integrated point-of-care biosensors; silicon nanowire device; target biomarker; Biosensors; Immune system; Nanoscale devices; Rough surfaces; Silicon; Surface roughness; Surface topography; 8-OHdG; Biosensor; Nanoimprint; Point-of-care; SCIL; Silicon nanowire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SENSORS, 2014 IEEE
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/ICSENS.2014.6985142
Filename :
6985142
Link To Document :
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