Evidence map›Paper›PMID 25942643›Full record

ArticleSensors (Basel, Switzerland)2015

A new surface plasmon resonance immunosensor for triazine pesticide determination in bovine milk: a comparison with conventional amperometric and screen-printed immunodevices.

Mauro Tomassetti, Elisabetta Martini, Luigi Campanella, Gabriele Favero, Gabriella Sanzó, Franco Mazzei

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trends of Nanobiosensors in Modern Agriculture Systems.Applied biochemistry and biotechnology · 2025
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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

6 authors.

Mauro TomassettiDepartment of Chemistry, Sapienza University of Rome, P. Le Aldo Moro 5, 00185 Rome, Italy. mauro.tomassetti@uniroma1.it.
Elisabetta MartiniDepartment of Chemistry, Sapienza University of Rome, P. Le Aldo Moro 5, 00185 Rome, Italy. elisabettamartini@libero.it.
Luigi CampanellaDepartment of Chemistry, Sapienza University of Rome, P. Le Aldo Moro 5, 00185 Rome, Italy. luigi.campanella@uniroma1.it.
Gabriele FaveroDepartment of Chemistry and Drug Technologies, Sapienza University of Rome, P. Le Aldo Moro 5, 00185 Rome, Italy. gabriele.favero@uniroma1.it.
Gabriella SanzóDepartment of Chemistry and Drug Technologies, Sapienza University of Rome, P. Le Aldo Moro 5, 00185 Rome, Italy. gabriella.sanzo@uniroma1.it.
Franco MazzeiDepartment of Chemistry and Drug Technologies, Sapienza University of Rome, P. Le Aldo Moro 5, 00185 Rome, Italy. franco.mazzei@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A detailed comparison was made of the analytical features of a new Surface Plasmon Resonance (SPR) immunodevice for triazine pesticide determination with those of two other amperometric (conventional and screen-printed) immunosensors and the advantages and disadvantages of the SPR method were thoroughly investigated. For conventional amperometric and screen-printed devices, "competitive" assays were used; conversely, the SPR transduction technique allowed a "direct" measurement format to be used. As far as the main analytical data are concerned, the SPR method does not seem to offer substantial advantages. Nevertheless the measurement time is much shorter and the measurement itself much easier to perform. Lastly several applications and recovery tests were carried out on bovine milk samples, before and after spiking, to check for triazine pesticides in the samples, obtaining satisfactory results.

Indexed as

AnimalsBiosensing TechniquesCattleElectrochemistryMilkPesticidesSurface Plasmon ResonanceTriazinesPesticidesTriazines

Identifiers

PMID25942643
PMCPMC4482009

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Registered trials

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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.