Evidence map›Paper›PMID 30002282›Full record

ArticleSensors (Basel, Switzerland)2018

Graphene-Based Raman Spectroscopy for pH Sensing of X-rays Exposed and Unexposed Culture Media and Cells.

Carlo Camerlingo, Alessandro Verde, Lorenzo Manti, Roberta Meschini, Ines Delfino, Maria Lepore

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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. Highly Sensitive TiOBiosensors · 2022
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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.

Carlo CamerlingoConsiglio Nazionale delle Ricerche, SPIN-CNR, 80078 Pozzuoli, Italy. carlo.camerlingo@spin.cnr.it.ORCID 0000-0002-6014-0588
Alessandro VerdeDipartimento di Fisica "E. Pancini", Università "Federico II" di Napoli, 80126 Naples, Italy. alessa.verde@studenti.unina.it.
Lorenzo MantiDipartimento di Fisica "E. Pancini", Università "Federico II" di Napoli, 80126 Naples, Italy. lorenzo.manti@unina.it.ORCID 0000-0003-0168-5040
Roberta MeschiniDipartimento di Scienze Ecologiche e Biologiche, Università della Tuscia, 01100 Viterbo, Italy. meschini@unitus.it.ORCID 0000-0002-5434-746X
Ines DelfinoDipartimento di Scienze Ecologiche e Biologiche, Università della Tuscia, 01100 Viterbo, Italy. delfino@unitus.it.ORCID 0000-0003-4316-7620
Maria LeporeDipartimento di Medicina Sperimentale, Università della Campania "L. Vanvitelli", 80138 Naples, Italy. maria.lepore@unicampania.it.ORCID 0000-0003-2743-5904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene provides a unique way of sensing the local pH level of substances on the micrometric scale, with important implications for the monitoring of cellular metabolic activities where proton excretion could occur. Accordingly, an innovative biosensing approach for the quantification of the pH value of biological fluids, to be used also with small amounts of fluids, was realized and tested. It is based on the use of micro-Raman spectroscopy to detect the modifications of the graphene doping level induced by the contact of the graphene with the selected fluids. The approach was preliminarily tested on aqueous solutions of known pH values. It was then used to quantify the pH values of cell culture media directly exposed to different doses of X-ray radiation and to media exposed to X-ray-irradiated cells. The Raman response of cells placed on graphene layers was also examined.

Indexed as

X-RaysCellsCulture MediaGraphiteHumansHydrogen-Ion ConcentrationSpectrum Analysis, RamanCulture MediaGraphiteculture mediagraphenehuman cellsmicro-Raman spectroscopyphysiometer bio-sensors

Identifiers

PMID30002282
PMCPMC6069167

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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.