Evidence map›Paper›PMID 32337622›Full record

ArticleAnalytical and bioanalytical chemistry2020

Total reflection X-ray fluorescence spectrometry for trace determination of iron and some additional elements in biological samples.

Andreas Gruber, Riccarda Müller, Alessa Wagner, Silvia Colucci, Maja Vujić Spasić, Kerstin Leopold

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  5. Ways to Measure Metals: From ICP-MS to XRF.Current environmental health reports · 2025
    Review
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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 at 2 institutions in 1 country.

Andreas GruberInstitute of Analytical and Bioanalytical Chemistry, Ulm University, 89081, Ulm, Germany.
Riccarda MüllerInstitute of Analytical and Bioanalytical Chemistry, Ulm University, 89081, Ulm, Germany.
Alessa WagnerInstitute of Comparative Molecular Endocrinology, Ulm University, 89081, Ulm, Germany.
Silvia ColucciDepartment of Pediatric Hematology, Oncology and Immunology, University of Heidelberg, 69120, Heidelberg, Germany.
Maja Vujić SpasićInstitute of Comparative Molecular Endocrinology, Ulm University, 89081, Ulm, Germany.
Kerstin LeopoldInstitute of Analytical and Bioanalytical Chemistry, Ulm University, 89081, Ulm, Germany. kerstin.leopold@uni-ulm.de.
Universität Ulm · DEHeidelberg University · DE

Funding

Deutsche Forschungsgemeinschaft VU75/4
6 · The paper itself

Abstract

Trace elements are essential for life and their concentration in cells and tissues must be tightly maintained and controlled to avoid pathological conditions. Established methods to measure the concentration of trace elements in biological matrices often provide only single element information, are time-consuming, and require special sample preparation. Therefore, the development of straightforward and rapid analytical methods for enhanced, multi-trace element determination in biological samples is an important and raising field of trace element analysis. Herein, we report on the development and validation of a reliable method based on total reflection X-ray fluorescence (TXRF) analysis to precisely quantify iron and other trace metals in a variety of biological samples, such as the liver, parenchymal and non-parenchymal liver cells, and bone marrow-derived macrophages. We show that TXRF allows fast and simple one-point calibration by addition of an internal standard and has the potential of multi-element analysis in minute sample amounts. The method was validated for iron by recovery experiments in homogenates in a wide concentration range from 1 to 1600 μg/L applying well-established graphite furnace atomic absorption spectrometry (GFAAS) as a reference method. The recovery rate of 99.93 ± 0.14% reveals the absence of systematic errors. Furthermore, the standard reference material "bovine liver" (SRM 1577c, NIST) was investigated in order to validate the method for further biometals. Quantitative recoveries (92-106%) of copper, iron, zinc, and manganese prove the suitability of the developed method. The limits of detection for the minute sample amounts are in the low picogram range. Graphical abstract.

Indexed as

AnimalsCattleCells, CulturedIronLimit of DetectionLiverMacrophagesMiceSpectrometry, X-Ray EmissionTrace ElementsIronTrace ElementsBiometal trace analysisBone marrow–derived macrophagesIron trace analysisLiver cellsLiver tissuesTotal reflection X-ray fluorescence spectrometry

Identifiers

PMID32337622
PMCPMC7442763
OpenAlexW3018506161

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LicenceCC BY
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Registered trials

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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.