Evidence mapPaperPMID 40471672Full record

ReviewBioanalysis2025

Challenges of folate species analysis in food and biological matrices by liquid chromatography-tandem mass spectrometery.

Nigatu Tadesse Gebrehiwot, Man-Ni He, Juan Li, Hong-Min Liu

Abstract readReview
In one paragraph

Review in Bioanalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Nigatu Tadesse GebrehiwotSchool of Pharmaceutical Sciences, Institute of Drug Discovery and Development, Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-8617-5693
Man-Ni HeSchool of Pharmaceutical Sciences, Institute of Drug Discovery and Development, Zhengzhou University, Zhengzhou, China.
Juan LiSchool of Pharmaceutical Sciences, Institute of Drug Discovery and Development, Zhengzhou University, Zhengzhou, China.
Hong-Min LiuSchool of Pharmaceutical Sciences, Institute of Drug Discovery and Development, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Folates are group of water-soluble B-vitamins indispensable to one carbon metabolism as acceptor and donor of methyl group during purine and pyrimidine biosynthesis, DNA and histone methylations, and in mitochondrial protein translation. The deficiencies associated with risk of neural tube defect, cancer, cardiac and psychiatric disorders. Thus, detecting and quantifying folate species accurately become a crucial step in food omics, disease metabolomics, proteomics, genomics, toxicology, and pharmacokinetics, and regulatory sciences. However, the detection and quantitative determination of folate species yet subjected to analytical challenges due to physio-chemical instability, structural similarity, ultra-trace availability. Advances in liquid chromatography tandem mass spectrometry (LC-MS/MS) method enabled the detection and quantification of folate species in short span of time using low sample volume. However, risk of inter conversion, degradation or loss during sample preparation, coupled with folate isomers and isobars challenged the selectivity, specificity and sensitivity for quantification by LC-MS/MS at trace level. Systematic literature search was conducted through major indexing databases such as Pub med, Embase, and Google Scholar to include the most relevant articles published 2010-2025 in preparing the review highlighting the challenges of folate species analysis in food and biological matrices from sample preparation to mass spectrometry detection with a future perspective on innovative optimization methods.

Indexed as

Folic AcidFood AnalysisTandem Mass SpectrometryAnimalsChromatography, LiquidHumansFolic Acidanalytical challengesbiological matricesFolate speciesfoodinnovative methodsLC-MS/MSsample preparation

Identifiers

PMID40471672
PMCPMC12160611

What Socratic holds

Textmetadata
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 Socratic graph.