Evidence map›Paper›PMID 24917052›Full record

ArticleBiological trace element research2014

Analysis of human serum and whole blood for mineral content by ICP-MS and ICP-OES: development of a mineralomics method.

James M Harrington, Daniel J Young, Amal S Essader, Susan J Sumner, Keith E Levine

Open access · greenAbstract read
In one paragraph

Article in Biological trace element research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 5% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 159 citations in OpenAlex.

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  9. Associations between element mixtures and biomarkers of pathophysiologic pathways related to autism spectrum disorder.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2025
    Article
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  15. Copper biomarkers and their relationship with parameters of insulin resistance in obese women.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Observational
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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

5 authors at 1 institution in 1 country.

James M HarringtonTrace Inorganics Department, Technologies for Industry and the Environment, RTI International, Research Triangle Park, NC, 27709, USA, jharrington@rti.org.
Daniel J Young
Amal S Essader
Susan J Sumner
Keith E Levine
RTI International · US

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
RTI's Regional Comprehensive Metabolomics Resource CenterU24DK097193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUMNER, SUSAN J · 2012 to 2017
$9.8M
Scripps Translational Science Institute (TL1)TL1TR000111 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2012 to 2013
$219k
NCATS NIH HHS TL1 TR000111NCATS NIH HHS UL1TR00111NCATS NIH HHS UL1 TR001111NIDDK NIH HHS 1U24DK097193NIDDK NIH HHS U24 DK097193
6 · The paper itself

Abstract

Minerals are inorganic compounds that are essential to the support of a variety of biological functions. Understanding the range and variability of the content of these minerals in biological samples can provide insight into the relationships between mineral content and the health of individuals. In particular, abnormal mineral content may serve as an indicator of illness. The development of robust, reliable analytical methods for the determination of the mineral content of biological samples is essential to developing biological models for understanding the relationship between minerals and illnesses. This paper describes a method for the analysis of the mineral content of small volumes of serum and whole blood samples from healthy individuals. Interday and intraday precision for the mineral content of the blood (250 μL) and serum (250 μL) samples was measured for eight essential minerals--sodium (Na), calcium (Ca), magnesium (Mg), potassium (K), iron (Fe), zinc (Zn), copper (Cu), and selenium (Se)--by plasma spectrometric methods and ranged from 0.635 to 10.1% relative standard deviation (RSD) for serum and 0.348-5.98% for whole blood. A comparison of the determined ranges for ten serum samples and six whole blood samples provided good agreement with literature reference ranges. The results demonstrate that the digestion and analysis methods can be used to reliably measure the content of these minerals and potentially of other minerals.

Indexed as

Blood Chemical AnalysisAdultFemaleHumansMaleMass SpectrometryMineralsRadioisotopesReference StandardsReproducibility of ResultsSerumSpectrum AnalysisMineralsRadioisotopes

Identifiers

PMID24917052
PMCPMC4091818
OpenAlexW1995272322

What OpenQuestion holds

Textmetadata
LicenceTDM
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.