Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/111738
Title: Recent Achievements in Electrochemical and Surface Plasmon Resonance Aptasensors for Mycotoxins Detection
Authors: Evtugyn, G.
Porfireva, A.
Kulikova, T.
Hianik, T.
Issue Date: 2021
Publisher: MDPI AG
MDPI AG
Citation: Recent Achievements in Electrochemical and Surface Plasmon Resonance Aptasensors for Mycotoxins Detection / G. Evtugyn, A. Porfireva, T. Kulikova et al. // Chemosensors. — 2021. — Vol. 9. — Iss. 7. — 180.
Abstract: Mycotoxins are secondary metabolites of fungi that contaminate agriculture products. Their release in the environment can cause severe damage to human health. Aptasensors are compact analytical devices that are intended for the fast and reliable detection of various species able to specifically interact with aptamers attached to the transducer surface. In this review, assembly of electrochemical and surface plasmon resonance (SPR) aptasensors are considered with emphasis on the mechanism of signal generation. Moreover, the properties of mycotoxins and the aptamers selected for their recognition are briefly considered. The analytical performance of bio-sensors developed within last three years makes it possible to determine mycotoxin residues in water and agriculture/food products on the levels below their maximal admissible concentrations. Requirements for the development of sample treatment and future trends in aptasensors are also discussed. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: APTAMER
APTASENSOR
ELECTROCHEMICAL SENSOR
MYCOTOXIN ANALYSIS
SURFACE PLASMON RESONANCE
URI: http://elar.urfu.ru/handle/10995/111738
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85111120476
WOS ID: 000676236100001
PURE ID: 23003028
ISSN: 2227-9040
DOI: 10.3390/chemosensors9070180
Sponsorship: Funding: T.K. acknowledges funding by the subsidy allocated to Kazan Federal University for the state assignment in the sphere of scientific activities (grant No 0671–2020−0063). T.H. acknowledges funding from the Science Grant Agency VEGA, project No.: 1/0419/20.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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