Evidence map›Paper›PMID 36984834›Full record

ArticleMetabolites2023

The Role of the Preanalytical Step for Human Saliva Analysis via Vibrational Spectroscopy.

Beatrice Campanella, Stefano Legnaioli, Massimo Onor, Edoardo Benedetti, Emilia Bramanti

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Beatrice CampanellaInstitute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy.
Stefano LegnaioliInstitute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy.
Massimo OnorInstitute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy.ORCID 0000-0003-3023-1072
Edoardo BenedettiHematology Unit of Azienda Ospedaliero Universitaria Pisana (AOUP), 56100 Pisa, Italy.ORCID 0000-0001-5295-2087
Emilia BramantiInstitute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy.ORCID 0000-0001-8478-7370
Institute for the Chemistry of OrganoMetallic Compounds · ITAzienda Ospedaliera Universitaria Pisana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saliva is an easily sampled matrix containing a variety of biochemical information, which can be correlated with the individual health status. The fast, straightforward analysis of saliva by vibrational (ATR-FTIR and Raman) spectroscopy is a good premise for large-scale preclinical studies to aid translation into clinics. In this work, the effects of saliva collection (spitting/swab) and processing (two different deproteinization procedures) were explored by principal component analysis (PCA) of ATR-FTIR and Raman data and by investigating the effects on the main saliva metabolites by reversed-phase chromatography (RPC-HPLC-DAD). Our results show that, depending on the bioanalytical information needed, special care must be taken when saliva is collected with swabs because the polymeric material significantly interacts with some saliva components. Moreover, the analysis of saliva before and after deproteinization by FTIR and Raman spectroscopy allows to obtain complementary biological information.

Indexed as

ATR-FTIRRamansalivasample processing

Identifiers

PMID36984834
PMCPMC10055013
OpenAlexW4323565724

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.