Evidence map›Paper›PMID 34286024›Full record

ArticleBio-protocol2018

Qualitative Analysis of Lipid Peroxidation in Plants under Multiple Stress Through Schiff's Reagent: A Histochemical Approach.

Jay Prakash Awasthi, Bedabrata Saha, Bhaben Chowardhara, Sanjenbam Sanjibia Devi, Pankaj Borgohain, Sanjib Kumar Panda

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.1field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 72 citations in OpenAlex.

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  12. Review
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  15. Article
  16. Frontiers in plant science · 2019
    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

6 authors at 1 institution in 1 country.

Jay Prakash AwasthiPlant Molecular Biotechnology Lab, Department of Life Science and Bioinformatics, Assam University, Silchar, India.
Bedabrata SahaPlant Molecular Biotechnology Lab, Department of Life Science and Bioinformatics, Assam University, Silchar, India.
Bhaben ChowardharaPlant Molecular Biotechnology Lab, Department of Life Science and Bioinformatics, Assam University, Silchar, India.
Sanjenbam Sanjibia DeviPlant Molecular Biotechnology Lab, Department of Life Science and Bioinformatics, Assam University, Silchar, India.
Pankaj BorgohainPlant Molecular Biotechnology Lab, Department of Life Science and Bioinformatics, Assam University, Silchar, India.
Sanjib Kumar PandaPlant Molecular Biotechnology Lab, Department of Life Science and Bioinformatics, Assam University, Silchar, India.
Assam University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid peroxidation is a physiological indicator of both biotic and abiotic stress responses, hence is often used as a biomarker to assess stress-induced cell damage or death. Here we demonstrate an easy, quick and cheap staining method to assess lipid peroxidation in plant tissues. In this methodology, Schiff's reagent, is used to assay for membrane degradation. Histochemical detection of lipid peroxidation is performed in this protocol. In brief, Schiff's reagent detects aldehydes that originate from lipid peroxides in stressful condition. Schiff's reagent is prepared and applied to plants tissue. After the reaction, plant tissue samples are rinsed with a sulfite solution to retain the staining color. From this analysis, qualitative visualization of lipid peroxidation in plant tissue is observed in the form of magenta coloration. This reagent is useful for visualization of stress induced lipid peroxidation in plants. In this protocol,

Indexed as

Lipid peroxidationMembrane degradationMustardRiceSchiff’s reagentTea

Identifiers

PMID34286024
PMCPMC8275295
OpenAlexW2800436802

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.