Evidence map›Paper›PMID 33123200›Full record

ArticleInternational journal of analytical chemistry2020

A Simple and Rapid Method for Quantitative HPLC MS/MS Determination of Selected Perfluorocarboxylic Acids and Perfluorosulfonates in Human Serum.

Valentina Marra, Annalisa Abballe, Elena Dellatte, Nicola Iacovella, Anna Maria Ingelido, Elena De Felip

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Article in International journal of analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Valentina MarraIstituto Superiore di Sanità, Dipartimento Ambiente e Salute, Viale Regina Elena 299, Roma 00161, Italy.ORCID https://orcid.org/0000-0002-9370-6605
Annalisa AbballeIstituto Superiore di Sanità, Dipartimento Ambiente e Salute, Viale Regina Elena 299, Roma 00161, Italy.ORCID https://orcid.org/0000-0001-6558-8253
Elena DellatteIstituto Superiore di Sanità, Dipartimento Ambiente e Salute, Viale Regina Elena 299, Roma 00161, Italy.ORCID https://orcid.org/0000-0002-1903-2948
Nicola IacovellaIstituto Superiore di Sanità, Dipartimento Ambiente e Salute, Viale Regina Elena 299, Roma 00161, Italy.ORCID https://orcid.org/0000-0001-5788-559X
Anna Maria IngelidoIstituto Superiore di Sanità, Dipartimento Ambiente e Salute, Viale Regina Elena 299, Roma 00161, Italy.ORCID https://orcid.org/0000-0002-6664-5245
Elena De FelipIstituto Superiore di Sanità, Dipartimento Ambiente e Salute, Viale Regina Elena 299, Roma 00161, Italy.ORCID https://orcid.org/0000-0002-2114-5933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Per- and polyfluorinated alkyl substances (PFASs) are ubiquitous environmental contaminants, present in the environment and in the human body. They have raised global concern because of their diffusion in the environment, particularly in water, causing cases of human overexposure due to consumption of contaminated drinking water. Human biomonitoring is the most effective way to characterize human exposure to PFASs, and it is important that as many labs as possible could easily perform this kind of analysis. Analytical methods for quantitation of PFAS mixtures in human serum have been developed, but most of them required materials that are not always easily available in all the laboratories. This paper describes a very simple and accessible HPLC MS/MS method of analysis and quantification of 13 perfluorocarboxylic acids and perfluorosulfonate compounds (belonging to the class of per- and polyfluorinated alkyl substances (PFASs)) in human serum. Method development data provide detailed descriptions of the optimization process in terms of sample preparation, laboratory analysis of human serum samples, determination of analytes by HPLC MS/MS, and describing the pump gradient time, working conditions, and acquisition.

Identifiers

PMID33123200
PMCPMC7585657

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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.