Evidence map›Paper›PMID 36838520›Full record

ArticleMolecules (Basel, Switzerland)2023

ALP-Based Biosensors Employing Electrodes Modified with Carbon Nanomaterials for Pesticides Detection.

Stefano Gianvittorio, Isacco Gualandi, Domenica Tonelli

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
1.7field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Stefano GianvittorioDepartment of Industrial Chemistry "Toso Montanari", Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 4, 40136 Bologna, Italy.ORCID 0000-0001-8068-6679
Isacco GualandiDepartment of Industrial Chemistry "Toso Montanari", Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 4, 40136 Bologna, Italy.ORCID 0000-0002-6823-7501
Domenica TonelliDepartment of Industrial Chemistry "Toso Montanari", Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 4, 40136 Bologna, Italy.ORCID 0000-0002-2844-9817
University of Bologna · IT

Funding

Ministry of Education, Universities and Research 2021
6 · The paper itself

Abstract

Due to the growing presence of pesticides in the environment and in food, the concern of their impact on human health is increasing. Therefore, the development of fast and reliable detection methods is needed. Enzymatic inhibition-based biosensors represent a good alternative for replacing the more complicated and time-consuming traditional methods (chromatography, spectrophotometry, etc.). This paper describes the development of an electrochemical biosensor exploiting alkaline phosphatase as the biological recognition element and a chemically modified glassy carbon electrode as the transducer. The biosensor was prepared modifying the GCE surface by a mixture of Multi-Walled-Carbon-Nanotubes (MWCNTs) and Electrochemically-Reduced-Graphene-Oxide (ERGO) followed by the immobilization of the enzyme by cross-linking with bovine serum albumin and glutaraldehyde. The inhibition of the biosensor response caused by pesticides was established using 2-phospho-L-ascorbic acid as the enzymatic substrate, whose dephosphorylation reaction produces ascorbic acid (AA). The MWCNTs/ERGO mixture shows a synergic effect in terms of increased sensitivity and decreased overpotential for AA oxidation. The response of the biosensor to the herbicide 2,4-dichloro-phenoxy-acetic-acid was evaluated and resulted in the concentration range 0.04-24 nM, with a limit of the detection of 16 pM. The determination of other pesticides was also achieved. The re-usability of the electrode was demonstrated by performing a washing procedure.

Indexed as

Biosensing TechniquesNanotubes, CarbonPesticidesAlkaline PhosphataseCarbonElectrochemical TechniquesElectrodesGraphiteAlkaline PhosphataseCarbongraphene oxideGraphiteNanotubes, CarbonPesticidesalkaline phosphatasecarbon nanomaterialselectrochemical biosensorsenzymatic inhibitionpesticides detection

Identifiers

PMID36838520
PMCPMC9959578
OpenAlexW4319320572

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.