Evidence map›Paper›PMID 30866575›Full record

ArticleSensors (Basel, Switzerland)2019

Characterization of Human Tear Fluid by Means of Surface-Enhanced Raman Spectroscopy.

Carlo Camerlingo, Mikhail Lisitskiy, Maria Lepore, Marianna Portaccio, Daniela Montorio, Salvatore Del Prete, Gilda Cennamo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 26 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 1 country.

Carlo CamerlingoConsiglio Nazionale delle Ricerche, SPIN-CNR, Via Campi Flegrei 34, 80078 Pozzuoli, Italy. carlo.camerlingo@spin.cnr.it.ORCID 0000-0002-6014-0588
Mikhail LisitskiyConsiglio Nazionale delle Ricerche, SPIN-CNR, Via Campi Flegrei 34, 80078 Pozzuoli, Italy. carlo.camerlingo@spin.cnr.it.ORCID 0000-0002-4791-6468
Maria LeporeDipartimento di Medicina Sperimentale, Università della Campania "L. Vanvitelli", 80138 Naples, Italy. maria.lepore@unicampania.it.ORCID 0000-0003-2743-5904
Marianna PortaccioDipartimento di Medicina Sperimentale, Università della Campania "L. Vanvitelli", 80138 Naples, Italy. marianna.portaccio@unicampania.it.
Daniela MontorioDipt. di Neuroscienze e Scienze Riproduttive ed Odontostomatologiche, Universitá di Napoli 'Federico II', 80121 Naples, Italy. da.montorio@gmail.com.
Salvatore Del PreteCISME-Centro Interdipartimentale di Microscopia Elettronica, Universitá di Napoli 'Federico II', 80100 Naples, Italy. saldelp@gmail.com.
Gilda CennamoDipt. di Sanitá Pubblica, Universitá di Napoli 'Federico II', 80131 Naples, Italy. xgilda@hotmail.com.ORCID 0000-0003-4253-1929
University of Naples Federico II · ITSuperconducting and other Innovative Materials and Devices Institute · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tears are exceptionally rich sources of information on the health status of the eyes, as well as of whole body functionality, due to the presence of a large variety of salts and organic components whose concentration can be altered by pathologies, eye diseases and/or inflammatory processes. Surface enhanced Raman spectroscopy (SERS) provides a unique method for analyzing low concentrations of organic fluids such as tears. In this work, a home-made colloid of gold nanoparticles has been used for preparing glass substrates able to efficiently induce an SERS effect in fluid samples excited by a He⁻Ne laser ( λ = 633 nm). The method has been preliminary tested on Rhodamine 6G aqueous solutions at different concentrations, proving the possibility to sense substance concentrations as low as few μ M, i.e., of the order of the main tear organic components. A clear SERS response has been obtained for human tear samples, allowing an interesting insight into tear composition. In particular, aspartic acid and glutamic acid have been shown to be possible markers for two important human tear components, i.e., lactoferrin and lysozyme.

Indexed as

Biosensing TechniquesGoldHumansLactoferrinMetal NanoparticlesMuramidaseSpectrum Analysis, RamanTearsGoldLactoferrinMuramidasebiomedical sensorslactoferrinlysozymeSERStear

Identifiers

PMID30866575
PMCPMC6427673
OpenAlexW2920194589

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.