Surface plasmon resonance imaging sensor for detection of photolytically and photocatalytically degraded glyphosate

dc.contributor.authorVráblová, Martina
dc.contributor.authorSmutná, Kateřina
dc.contributor.authorKoutník, Ivan
dc.contributor.authorProstějovský, Tomáš
dc.contributor.authorŽebrák, Radim
dc.date.accessioned2023-02-13T09:35:25Z
dc.date.available2023-02-13T09:35:25Z
dc.date.issued2022
dc.description.abstractGlyphosate is one of the most widely used pesticides, which, together with its primary metabolite aminomethylphosphonic acid, remains present in the environment. Many technologies have been developed to reduce glyphosate amounts in water. Among them, heterogeneous photocatalysis with titanium dioxide as a commonly used photocatalyst achieves high removal efficiency. Nevertheless, glyphosate is often converted to organic intermediates during its degradation. The detection of degraded glyphosate and emerging products is, therefore, an important element of research in terms of disposal methods. Attention is being paid to new sensors enabling the fast detection of glyphosate and its degradation products, which would allow the monitoring of its removal process in real time. The surface plasmon resonance imaging (SPRi) method is a promising technique for sensing emerging pollutants in water. The aim of this work was to design, create, and test an SPRi biosensor suitable for the detection of glyphosate during photolytic and photocatalytic experiments focused on its degradation. Cytochrome P450 and TiO2 were selected as the detection molecules. We developed a sensor for the detection of the target molecules with a low molecular weight for monitoring the process of glyphosate degradation, which could be applied in a flow-through arrangement and thus detect changes taking place in real-time. We believe that SPRi sensing could be widely used in the study of xenobiotic removal from surface water or wastewater.cs
dc.description.firstpageart. no. 9217cs
dc.description.issue23cs
dc.description.sourceWeb of Sciencecs
dc.description.volume22cs
dc.identifier.citationSensors. 2022, vol. 22, issue 23, art. no. 9217.cs
dc.identifier.doi10.3390/s22239217
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/149100
dc.identifier.wos000896267900001
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttps://doi.org/10.3390/s22239217cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.accessopenAccesscs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectglyphosatecs
dc.subjectpesticidecs
dc.subjectphotocatalysiscs
dc.subjectsurface plasmon resonancecs
dc.subjectaminomethylphosphonic acidcs
dc.titleSurface plasmon resonance imaging sensor for detection of photolytically and photocatalytically degraded glyphosatecs
dc.typearticlecs
dc.type.statusPeer-reviewedcs
dc.type.versionpublishedVersioncs

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