Evidence map›Paper›PMID 38656506›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Sample Preparation from Plant Tissue for Gas Chromatography-Mass Spectrometry (GC-MS)we.

Rinku Dagar, Ashish Gautam, Kagolla Priscilla, Vinay Sharma, Prateek Gupta, Rakesh Kumar

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Rinku DagarDepartment of Life Science, School of Life Sciences, Central University of Karnataka, Kalaburagi, Karnataka, India.
Ashish GautamDepartment of Life Science, School of Life Sciences, Central University of Karnataka, Kalaburagi, Karnataka, India.
Kagolla PriscillaDepartment of Life Science, School of Life Sciences, Central University of Karnataka, Kalaburagi, Karnataka, India.
Vinay SharmaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Prateek GuptaRepository of Tomato Genomics Resources, Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, India.
Rakesh KumarDepartment of Life Science, School of Life Sciences, Central University of Karnataka, Kalaburagi, Karnataka, India. rakeshkumar@cuk.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites are intermediate products formed during metabolism. Metabolites play different roles, including providing energy, supporting structure, transmitting signals, catalyzing reactions, enhancing defense, and interacting with other species. Plant metabolomics research aims to detect precisely all metabolites found within tissues of plants through GC-MS. This chapter primarily focuses on extracting metabolites using chemicals such as methanol, chloroform, ribitol, MSTFA, and TMCS. The metabolic analysis method is frequently used according to the specific kind of sample or matrix being investigated and the analysis objective. Chromatography (LC, GC, and CE) with mass spectrometry and NMR spectroscopy is used in modern metabolomics to analyze metabolites from plant samples. The most frequently used method for metabolites analysis is the GC-MS. It is a powerful technique that combines gas chromatography's separation capabilities with mass spectrometry, offering detailed information, including structural identification of each metabolite. This chapter contains an easy-to-follow guide to extract plant-based metabolites. The current protocol provides all the information needed for extracting metabolites from a plant, precautions, and troubleshooting.

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomicsPlantsMetabolomePlant ExtractsPlant ExtractsChromatogramDerivatizationGC-MSMetabolitesPlant tissueUntargeted metabolomics

Identifiers

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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.