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  5. Iron nanoflorets on 3D-graphene-nickel: A ‘Dandelion’ nanostructure for selective deoxynivalenol detection
 
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Iron nanoflorets on 3D-graphene-nickel: A ‘Dandelion’ nanostructure for selective deoxynivalenol detection

Journal
Biosensors and Bioelectronics
ISSN
09565663
Date Issued
2020-04-15
Author(s)
Ong C.C.
Siva Sangu S.
Illias N.M.
Subash Chandra Bose Gopinath
Universiti Malaysia Perlis
Saheed M.S.M.
DOI
10.1016/j.bios.2020.112088
Handle (URI)
https://hdl.handle.net/20.500.14170/9156
Abstract
Deoxynivalenol (DON), a cosmopolitan mycotoxin found in agricultural commodities causes serious health maladies to human and animals when accidently consumed even at a low quantity. It necessitates selective and sensitive devices to analyse DON as the conventional methods are complex and time-consuming. This study is focused on developing a selective biosensing system using iron nanoflorets graphene nickel (INFGN) as the transducer and a specific aptamer as the biorecognition element. 3D-graphene is incorporated using a low-pressure chemical vapour deposition followed by the decoration of iron nanoflorets using electrochemical deposition. INFGN enables a feasible bio-capturing due to its large surface area. The X-ray photoelectron spectroscopy analysis confirms the presence of the hydroxyl groups on the INFGN surface, which acts as the linker. Clear Fourier-transform infrared peak shifts affirm the changes with surface chemical modification and biomolecular assembly. The limit of detection attained is 2.11 pg mL−1 and displays high stability whereby it retains 30.65% of activity after 48 h. The designed INFGN demonstrates remarkable discrimination of DON against similar mycotoxins (zearalenone and ochratoxin A). Overall, the high-performance biosensor shown here is an excellent, simple and cost-effective alternative for detecting DON in food and feed samples.
Funding(s)
Universiti Teknologi Petronas
Subjects
  • Aptasensor | Deoxyniv...

File(s)
Research repository notification.pdf (4.4 MB)
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12
Acquisition Date
Mar 5, 2026
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Acquisition Date
Mar 5, 2026
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