Evidence map›Paper›PMID 42715969›Full record

ArticleJournal of agricultural and food chemistry2026

Characterizing the Elemental Metabolome in Asparagus officinalis with Multielemental Speciation Analysis.

Ivan Milovanovic, Lorenz Steiner, Claudia Kerschbaumer, Walter Goessler, Bassam Lajin

Abstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ivan MilovanovicInnovation Centre of the Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000Belgrade, Serbia.
Lorenz SteinerInstitute of Chemistry, Analytical Chemistry for the Health and Environment, University of Graz, Universitaetsplatz 1, 8010Graz, Austria.
Claudia KerschbaumerInstitute of Chemistry, Analytical Chemistry for the Health and Environment, University of Graz, Universitaetsplatz 1, 8010Graz, Austria.
Walter GoesslerInstitute of Chemistry, Analytical Chemistry for the Health and Environment, University of Graz, Universitaetsplatz 1, 8010Graz, Austria.
Bassam LajinInstitute of Chemistry, Analytical Chemistry for the Health and Environment, University of Graz, Universitaetsplatz 1, 8010Graz, Austria.ORCID 0000-0002-5717-1201

Funding

Austrian-Serbian commission for Scientific and Technological Cooperation 337-00-216/2023-05/76Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie RS 15/2024OeAD-GmbH NA
6 · The paper itself

Abstract

We report a multielemental and quantitative speciation analysis study with chromatographic inductively coupled plasma-mass spectrometry (ICP-MS/MS) detection involving four elements (sulfur, selenium, arsenic, and phosphorus) in Asparagus officinalis. The samples were locally purchased and labeled to originate from different regions in two continents. Major compounds were identified and quantified with confirmation based on chemical synthesis in pure form. Nontargeted analysis revealed significant quantitative and qualitative variation for the elemental metabolomes among samples, particularly sulfur and arsenic. Sharp contrast was observed in the diversity of the profiles between sulfur and selenium, providing insight into metabolism selectivity in Asparagus. Inorganic and methylated arsenic were both detected, but their ratios showed wide variation between samples. The present work shows the potential of multielemental speciation analysis with ICP-MS/MS as a novel dimension for food characterization based on studying heteroatom-tagged metabolome.

Indexed as

Asparagus PlantArsenicChromatography, High Pressure LiquidMetabolomeSeleniumSulfurTandem Mass SpectrometryArsenicSeleniumSulfurarsenic speciationfood metabolomicsHPLCICP–MS/MSsulfur speciation

Identifiers

PMID42715969
PMCPMC13573553

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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.