Evidence map›Paper›PMID 41993542›Full record

ArticlebioRxiv : the preprint server for biology2026

Comparison of Extraction Methods for the Quantification of Phytohormones from Tomato Fruits and Leaves by LC-MS/MS.

Carlos A Juarez Guzman, Linxing Yao, Corey D Broeckling, Cristiana T Argueso

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

4 authors.

Carlos A Juarez GuzmanGraduate Program in Cell and Molecular Biology, Colorado State University, Fort Collins, Colorado 80523.
Linxing YaoAnalytical Resources Core-Bioanalysis and Omics, Colorado State University, Fort Collins, Colorado 80523.ORCID 0000-0002-1468-7849
Corey D BroecklingAnalytical Resources Core-Bioanalysis and Omics, Colorado State University, Fort Collins, Colorado 80523.ORCID 0000-0002-6158-827X
Cristiana T ArguesoGraduate Program in Cell and Molecular Biology, Colorado State University, Fort Collins, Colorado 80523.ORCID 0000-0001-7097-9304

Funding

Predoctoral Training in Quantitative Cell & Molecular BiologyT32GM132057 · NIGMS · COLORADO STATE UNIVERSITY · PI Karen Marie Dobos, Brian Munsky · 2019 to 2026
$2.9M
NIGMS NIH HHS T32 GM132057
6 · The paper itself

Abstract

Accurate, simultaneous, and efficient quantification of chemically diverse phytohormone species is a critical task towards understanding the complex system of phytohormone signaling pathways. Quantification of phytohormones with the commonly used technique liquid chromatography coupled to tandem mass spectrometry is susceptible to the influence of non-phytohormone components present in the sample, a phenomenon referred to as matrix effect. To reduce matrix effect, some phytohormone quantification methods include additional steps of cleanup of crude extracts. However, to what extent additional purification steps provide increased accuracy compared to simpler, less laborious methods is seldomly evaluated. We evaluated three previously described phytohormone extraction methods, two of which include solid-phase extraction and one that does not, in their ability to minimize matrix effect and generate accurate estimates of phytohormone species spanning six classifications, from fruit and leaf tissue of

Indexed as

LC-MS/MSMatrix EffectPhytohormone QuantificationPhytohormonesPlant HormonesSolid Phase Extraction

Identifiers

PMID41993542
PMCPMC13081854

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.