Evidence map›Paper›PMID 36531326›Full record

ReviewFrontiers in chemistry2022

Strategies for mercury speciation with single and multi-element approaches by HPLC-ICP-MS.

Laura Favilli, Agnese Giacomino, Mery Malandrino, Paolo Inaudi, Aleandro Diana, Ornella Abollino

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Quantitative analysis of related substances in acetaminophen tablets using pre-column derivatization coupled with HPLC-ICP-MS.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Article
  5. Mercury Exposure and Health Effects: What Do We Really Know?International journal of molecular sciences · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. 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

6 authors.

Laura FavilliDepartment of Drug Science and Technology, University of Torino, Turin, Italy.
Agnese GiacominoDepartment of Drug Science and Technology, University of Torino, Turin, Italy.
Mery MalandrinoDepartment of Chemistry, University of Torino, Torino, Italy.
Paolo InaudiDepartment of Drug Science and Technology, University of Torino, Turin, Italy.
Aleandro DianaDepartment of Chemistry, University of Torino, Torino, Italy.
Ornella AbollinoDepartment of Drug Science and Technology, University of Torino, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mercury (Hg) and its compounds are highly toxic for humans and ecosystems, and their chemical forms determine both their behavior and transportation as well as their potential toxicity for human beings. Determining the various species of an element is therefore more crucial than understanding its overall concentration in samples. For this reason, several studies focus on the development of new analytical techniques for the identification, characterization, and quantification of Hg compounds. Commercially available, hyphenated technology, such as HPLC-ICP-MS, supports the rapid growth of speciation analysis. This review aims to summarize and critically examine different approaches for the quantification of mercury species in different samples using HPLC-ICP-MS. The steps preceding the quantification of the analyte, namely sampling and pretreatment, will also be addressed. The scenarios evaluated comprehend single and multi-element speciation analysis to create a complete guide about mercury content quantification.

Indexed as

biological sampleHPLC-ICP-MSifenationmercurymulti-elementspeciation

Identifiers

PMID36531326
PMCPMC9754325

What OpenQuestion holds

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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.