Evidence map›Paper›PMID 41000155›Full record

ArticleBio-protocol2025

Protocol for Quantitative Estimation of Hydrogen Cyanide Production from Bacteria.

Devashish Pathak, Pushpendra Sharma, Venkadasamy Govindasamy, Archna Suman

Abstract read
In one paragraph

Article in Bio-protocol, 2025. 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.

Devashish PathakDivision of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Pushpendra SharmaDivision of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Venkadasamy GovindasamyDivision of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Archna SumanDivision of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen cyanide (HCN) is a volatile, nitrogen-containing secondary metabolite produced by various bacterial species, primarily during the idiophase of growth under nutrient-limiting or competitive conditions. It plays a significant ecological role as a biocontrol agent by inhibiting the respiratory enzymes of plant pathogens and modulating microbial competition in the rhizosphere. Although protocols for detecting HCN production have existed for over a century, they have largely remained qualitative and are rarely optimized for quantitative assessment. This is mainly due to the volatile nature of HCN, unidentified stable reference standards, and the absence of a robust, universally accepted protocol that ensures consistency across diverse microbial types. In this study, we present a simplified and efficient colorimetric method to quantify HCN production in both Gram-positive and Gram-negative bacteria. Qualitatively, HCN production was observed by a color change due to the isopurpurate complex. This compound was then eluted and quantified by measuring absorbance at 625 nm. The method uses potassium ferrocyanide as a standard, whose slow dissociation constant enables a stable and controlled release of cyanide ions for calibration, unlike highly dissociative salts like KCN that introduce early volatilization errors. This protocol demonstrated high sensitivity, capable of detecting HCN at concentrations as low as ppm levels, with strong correlation to the standard curve (R

Indexed as

Colorimetric assayHCNIsopurpuratePotassium ferrocyanideSecondary metabolites

Identifiers

PMID41000155
PMCPMC12457837

What OpenQuestion holds

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LicenceCC BY
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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.