Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection
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-consum...
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my.utp.eprints.232072021-08-19T06:09:16Z Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection Ong, C.C. Siva Sangu, S. Illias, N.M. Chandra Bose Gopinath, S. Saheed, M.S.M. 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. © 2020 Elsevier B.V. Elsevier Ltd 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079330711&doi=10.1016%2fj.bios.2020.112088&partnerID=40&md5=d84f1bf24e0b74bbfca818587bf79c54 Ong, C.C. and Siva Sangu, S. and Illias, N.M. and Chandra Bose Gopinath, S. and Saheed, M.S.M. (2020) Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection. Biosensors and Bioelectronics, 154 . http://eprints.utp.edu.my/23207/ |
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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. © 2020 Elsevier B.V. |
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author |
Ong, C.C. Siva Sangu, S. Illias, N.M. Chandra Bose Gopinath, S. Saheed, M.S.M. |
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Ong, C.C. Siva Sangu, S. Illias, N.M. Chandra Bose Gopinath, S. Saheed, M.S.M. Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection |
author_facet |
Ong, C.C. Siva Sangu, S. Illias, N.M. Chandra Bose Gopinath, S. Saheed, M.S.M. |
author_sort |
Ong, C.C. |
title |
Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection |
title_short |
Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection |
title_full |
Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection |
title_fullStr |
Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection |
title_full_unstemmed |
Iron nanoflorets on 3D-graphene-nickel: A �Dandelion� nanostructure for selective deoxynivalenol detection |
title_sort |
iron nanoflorets on 3d-graphene-nickel: a �dandelion� nanostructure for selective deoxynivalenol detection |
publisher |
Elsevier Ltd |
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2020 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079330711&doi=10.1016%2fj.bios.2020.112088&partnerID=40&md5=d84f1bf24e0b74bbfca818587bf79c54 http://eprints.utp.edu.my/23207/ |
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