Evidence map›Paper›PMID 39885026›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Identification and Profiling of Primary Metabolites Through GC-MS and Associated Data Processing.

Minki Shim, Yooseong Jeong, Dong-Kyu Lee

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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. Review
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

3 authors.

Minki ShimCollege of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
Yooseong JeongCollege of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
Dong-Kyu LeeCollege of Pharmacy, Chung-Ang University, Seoul, Republic of Korea. leedk@cau.ac.kr.ORCID 0000-0003-2355-8560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter presents a comprehensive approach to profiling plant-derived primary metabolites using metabolomics, highlighting its critical role in decoding the biosynthesis of bioactive plant compounds. It details the utilization of gas chromatography-mass spectrometry (GC-MS) for the effective analysis and profiling of these metabolites. The process, encompassing extraction methods, chemical derivatization, and data processing, is thoroughly outlined. This methodology outlines comprehensive procedures for each stage of the workflow, encompassing metabolite extraction, GC-MS analysis, and data alignment, to produce a metabolomics dataset.

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomeMetabolomicsPlantsData processingGas chromatography-mass spectrometryMetabolite identificationMetabolomicsPlant primary metabolites

Identifiers

PMID39885026

What OpenQuestion 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 OpenQuestion graph.