Evidence map›Paper›PMID 29973263›Full record

ArticleBMC research notes2018

Screening, purification and characterization of cellulase from cellulase producing bacteria in molasses.

Farjana Islam, Narayan Roy

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 208 citations in OpenAlex.

  1. Article
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  4. Two novel species of genusFrontiers in microbiology · 2026
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  5. Immobilization of crude cellulase from Aspergillus foetidus on agar xerogel and its application for carrot juice extraction.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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  12. Potential application of a fungal co-culture crude extract for the conservation of post-harvest fruits.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
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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

2 authors at 2 institutions in 1 country.

Farjana IslamDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh. farjanaislam308@gmail.com.ORCID http://orcid.org/0000-0001-8274-2021
Narayan RoyDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Gopalganj Science and Technology University · BDUniversity of Rajshahi · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was conducted to isolate, screening and purification of cellulase from bacteria present in sugar industry waste (molasses) and characterization by morphological and biochemical analysis.

resultsBased on experiments, three bacterial strains produced clear transparent zone into carboxymethyl cellulose (CMC) agar plate were identified as cellulase producing bacteria. Different culture parameters such as pH, temperature, incubation period, substrate concentration and carbon sources were optimized for enzyme production. According to the morphological and biochemical tests, the isolated strains were identified as Paenibacillus sp., Bacillus sp. and Aeromonas sp. The first strain Paenibacillus sp. showed high potentiality for maximum cellulase production (0.9 µmol ml

Indexed as

AeromonasBacillusCellulaseCelluloseEnzyme StabilityHydrogen-Ion ConcentrationMolassesPaenibacillusSubstrate SpecificityTemperatureCellulaseCelluloseBacteriaCellulaseCelluloseMolassesPurification and characterizationScreening

Identifiers

PMID29973263
PMCPMC6032522
OpenAlexW2811100874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.