Evidence map›Paper›PMID 36501920›Full record

ArticleSensors (Basel, Switzerland)2022

Surface Plasmon Resonance Imaging Sensor for Detection of Photolytically and Photocatalytically Degraded Glyphosate.

Martina Vráblová, Kateřina Smutná, Ivan Koutník, Tomáš Prostějovský, Radim Žebrák

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Trends of Nanobiosensors in Modern Agriculture Systems.Applied biochemistry and biotechnology · 2025
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Martina VráblováInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.ORCID 0000-0003-0968-1212
Kateřina SmutnáInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.ORCID 0000-0001-6810-4410
Ivan KoutníkInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.
Tomáš ProstějovskýInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.
Radim ŽebrákDekonta Inc., Dřetovice 109, 273 42 Stehelčeves, Czech Republic.
VSB - Technical University of Ostrava · CZDekonta (Czechia) · CZ

Funding

Ministry of Education Youth and Sports CZ.02.1.01/0.0/0.0/17_049/0008419Ministry of Education Youth and Sports LM2018098
6 · The paper itself

Abstract

Glyphosate 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 TiO

Indexed as

HerbicidesPesticidesWater Pollutants, ChemicalSurface Plasmon ResonanceWaterHerbicidesPesticidesWaterWater Pollutants, Chemicalaminomethylphosphonic acidglyphosatepesticidephotocatalysissurface plasmon resonance

Identifiers

PMID36501920
PMCPMC9738441
OpenAlexW4310153631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.