Evidence map›Paper›PMID 32131482›Full record

ArticleSensors (Basel, Switzerland)2020

Highly Sensitive Detection of Chemically Modified Thio-Organophosphates by an Enzymatic Biosensing Device: An Automated Robotic Approach.

Giovanni Paolo Cetrangolo, Janis Rusko, Carla Gori, Paola Carullo, Giuseppe Manco, Marco Chino, Ferdinando Febbraio

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Giovanni Paolo CetrangoloInstitute of Biochemistry and Cell Biology, National Research Council (CNR), Via P. Castellino 111, 80131 Naples, Italy.
Janis RuskoInstitute of Biochemistry and Cell Biology, National Research Council (CNR), Via P. Castellino 111, 80131 Naples, Italy.ORCID 0000-0002-9027-8895
Carla GoriInstitute of Biochemistry and Cell Biology, National Research Council (CNR), Via P. Castellino 111, 80131 Naples, Italy.
Paola CarulloInstitute of Biochemistry and Cell Biology, National Research Council (CNR), Via P. Castellino 111, 80131 Naples, Italy.
Giuseppe MancoInstitute of Biochemistry and Cell Biology, National Research Council (CNR), Via P. Castellino 111, 80131 Naples, Italy.
Marco ChinoDepartment of Chemical Sciences, University of Naples "Federico II". Via Cintia, 80126 Napoli, Italy.ORCID 0000-0002-0436-3293
Ferdinando FebbraioInstitute of Biochemistry and Cell Biology, National Research Council (CNR), Via P. Castellino 111, 80131 Naples, Italy.
National Research Council · ITInstitute of Food Safety, Animal Health and Environment “BIOR” · LVUniversity of Naples Federico II · IT

Funding

European Food Safety Authority GP/EFSA/AFSCO/2016/02-Ga7Ministero dell'Istruzione, dell'Università e della Ricerca PON03PE_00060_4
6 · The paper itself

Abstract

Pesticides represent some of the most common man-made chemicals in the world. Despite their unquestionable utility in the agricultural field and in the prevention of pest infestation in public areas of cities, pesticides and their biotransformation products are toxic to the environment and hazardous to human health. Esterase-based biosensors represent a viable alternative to the expensive and time-consuming systems currently used for their detection. In this work, we used the esterase-2 from

Indexed as

AlicyclobacillusBiological AssayBiosensing TechniquesEnvironmental MonitoringEsterasesFluorescenceLimit of DetectionOrganophosphatesOrganophosphorus CompoundsPesticidesRoboticsEsterasesOrganophosphatesOrganophosphorus CompoundsPesticidesAlicyclobacillus acidocaldariusbiosensing deviceesterasefluorescence assayrobotic workstationthio-organophosphate

Identifiers

PMID32131482
PMCPMC7085774
OpenAlexW3009748786

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.