Evidence map›Paper›PMID 38920615›Full record

ArticleBiosensors2024

Development of a Portable Cell-Based Biosensor for the Ultra-Rapid Screening for Boscalid Residues in Lettuce.

Georgia Moschopoulou, Vasileios Tsekouras, Josep V Mercader, Antonio Abad-Fuentes, Spyridon Kintzios

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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.

Georgia MoschopoulouLaboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, European University for Smart Urban Coastal Sustainability, Iera Odos 75, 11855 Athens, Greece.ORCID 0000-0001-5648-2465
Vasileios TsekourasLaboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, European University for Smart Urban Coastal Sustainability, Iera Odos 75, 11855 Athens, Greece.ORCID 0000-0002-0766-8383
Josep V MercaderDepartment Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology (IATA-CSIC), Av. Agustí Escardino 7, 46980 Paterna, Spain.ORCID 0000-0002-1838-2647
Antonio Abad-FuentesDepartment Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology (IATA-CSIC), Av. Agustí Escardino 7, 46980 Paterna, Spain.ORCID 0000-0001-5672-1438
Spyridon KintziosLaboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, European University for Smart Urban Coastal Sustainability, Iera Odos 75, 11855 Athens, Greece.ORCID 0000-0003-2841-446X

Funding

Operational Program "Competitiveness, Entrepreneurship and Innovation" within the framework of the NSRF 2014 -2020, with the co-financing of Greece and the European Union (Eu-ropean Regional Development Fund) MIS5047106
6 · The paper itself

Abstract

Fungal plant pathogens have posed a significant threat to crop production. However, the large-scale application of pesticides is associated with possible risks for human health and the environment. Boscalid is a widely used fungicide, consistently implemented for the management of significant plant pathogens. Conventionally, the detection and determination of boscalid residues is based on chromatographic separations. In the present study, a Bioelectric Recognition Assay (BERA)-based experimental approach combined with MIME technology was used, where changes in the electric properties of the membrane-engineering cells with anti-boscalid antibodies were recorded in response to the presence of boscalid at different concentrations based on the maximum residue level (MRL) for lettuce. The membrane-engineering Vero cells with 0.5 μg/mL of antibody in their surface were selected as the best cell line in combination with the lowest antibody concentration. Furthermore, the biosensor was tested against another fungicide in order to prove its selectivity. Finally, the BERA cell-based biosensor was able to detect the boscalid residue, below and above the MRL, in spiked lettuce leaf extracts in an entirely distinct and reproducible manner. This study indicates that the BERA-based biosensor, after further development and optimization, could be used for the routine, high-throughput detection of boscalid residue in lettuce, and not only that.

Indexed as

Biosensing TechniquesLactucaAnimalsBiphenyl CompoundsChlorocebus aethiopsFungicides, IndustrialNiacinamideVero Cells2-chloro-N-(4-chlorobiphenyl-2-yl)nicotinamideBiphenyl CompoundsFungicides, IndustrialNiacinamideBioelectric Recognition Assay (BERA)biosensorboscalidcell-based biosensorMolecular Identification through Membrane Engineering (MIME)pesticide residue

Identifiers

PMID38920615
PMCPMC11201857

What Socratic holds

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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 Socratic graph.