Evidence map›Paper›PMID 39519867›Full record

ArticlePlants (Basel, Switzerland)2024

Optimization of Plant Oxalate Quantification and Generation of Low-Oxalate Maize (

Kai Zhao, Tao Wang, Bin-Bin Zhao, Jun Yang

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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

4 authors.

Kai ZhaoNational Engineering Laboratory of Crop Stress Resistance, College of Life Science, Anhui Agricultural University, Hefei 230036, China.
Tao WangDepartment of Biology and Food Engineering, Bozhou University, Bozhou 236800, China.
Bin-Bin ZhaoNational Engineering Laboratory of Crop Stress Resistance, College of Life Science, Anhui Agricultural University, Hefei 230036, China.
Jun YangNational Engineering Laboratory of Crop Stress Resistance, College of Life Science, Anhui Agricultural University, Hefei 230036, China.ORCID 0000-0002-0641-8841

Funding

1 319719532 32222060
6 · The paper itself

Abstract

Oxalate, the simplest dicarboxylic acid, is a prevalent antinutrient that chelates with various metals and can lead to the formation of kidney stones in humans. The accurate detection of the oxalate concentration in food and the cultivation of low-oxalate crops are important for enhancing public health. In this study, we established a high-throughput and highly sensitive technique for oxalate detection using ultra-high-performance liquid chromatographic-triple quadrupole tandem mass spectrometry (UPLC-QqQ-MS/MS). Additionally, we overexpressed the gene

Indexed as

agronomic traitsoverexpressionoxalateoxalyl-CoA synthetaseUPLC-QqQ-MS/MS

Identifiers

PMID39519867
PMCPMC11547668

What OpenQuestion holds

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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.