Evidence map›Paper›PMID 31123905›Full record

ArticleMikrochimica acta2019

An impedimetric aptasensor for ultrasensitive detection of Penicillin G based on the use of reduced graphene oxide and gold nanoparticles.

Ayat Mohammad-Razdari, Mahdi Ghasemi-Varnamkhasti, Zahra Izadi, Ali A Ensafi, Sajad Rostami, Maryam Siadat

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Article in Mikrochimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 60 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

6 authors at 3 institutions in 2 countries.

Ayat Mohammad-RazdariDepartment of Mechanical Engineering of Biosystems, Shahrekord University, Shahrekord, 8818634141, Iran.
Mahdi Ghasemi-VarnamkhastiDepartment of Mechanical Engineering of Biosystems, Shahrekord University, Shahrekord, 8818634141, Iran. ghasemymahdi@gmail.com.
Zahra IzadiDepartment of Mechanical Engineering of Biosystems, Shahrekord University, Shahrekord, 8818634141, Iran.
Ali A EnsafiDepartment of Chemistry, Isfahan University of Technology, Isfahan, 84156, Iran.
Sajad RostamiDepartment of Mechanical Engineering of Biosystems, Shahrekord University, Shahrekord, 8818634141, Iran.
Maryam SiadatLCOMS, Université de Lorraine, EA 7306, F-57000, Metz, France.
Shahrekord University · IRIsfahan University of Technology · IRLaboratoire de Conception, Optimisation et Modélisation des Systèmes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors describe an impedimetric aptasensor for Penicillin G (PEN) which is an important antibiotic. The method is based on the use of a pencil graphite electrode (PGE) modified with reduced graphene oxide (RGO) and gold nanoparticles (GNPs) for ultrasensitive detection of PEN. The morphology of a bare PGE, RGO/PGE, and GNP/RGO/PGE, and the functional groups on graphene oxide (GO) and RGO were studied using scanning electron microscopy and Fourier transform infrared spectroscopy. Electrochemical impedance spectroscopy was used for detection of PEN by measuring the charge transfer resistance (R

Indexed as

AnimalsAptamers, NucleotideBiosensing TechniquesBuffaloesCattleDNAElectrochemical TechniquesElectrodesFood ContaminationGoatsGoldGraphiteLimit of DetectionMetal NanoparticlesMilkPenicillin GAptamers, NucleotideDNAGoldgraphene oxideGraphitePenicillin GAntibioticAptamer-based biosensorCharge transfer resistanceCyclic voltammetryDNA-modified pencil graphite electrodeElectrochemical aptasensorElectrochemical impedance spectroscopyMilk samplesNanocompositeNanomaterials

Identifiers

PMID31123905
OpenAlexW2946005163

What OpenQuestion holds

Textmetadata
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.