Evidence map›Paper›PMID 32884415›Full record

ArticleSaudi journal of biological sciences2020

Response surface optimization of cellulase production from

Tawseef Ahmad, Anshula Sharma, Gaganjot Gupta, Sheikh Mansoor, Sumira Jan, Baljinder Kaur, Bilal Ahmad Paray, Ajaz Ahmad

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 37 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Tawseef AhmadDepartment of Biotechnology, Punjabi University Patiala, Punjab 147002, India.
Anshula SharmaDepartment of Biotechnology, Punjabi University Patiala, Punjab 147002, India.
Gaganjot GuptaDepartment of Biotechnology, Punjabi University Patiala, Punjab 147002, India.
Sheikh MansoorDivision of Biochemistry, SKUAST Jammu, 180009, India.
Sumira JanDivision of Biochemistry, SKUAST Kashmir, 190025, India.
Baljinder KaurDepartment of Biotechnology, Punjabi University Patiala, Punjab 147002, India.
Bilal Ahmad ParayDepartment of Zoology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Ajaz AhmadDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Punjabi University · INKing Saud University · SASher-e-Kashmir University of Agricultural Sciences and Technology of Jammu · INSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to their vast industrial potential, cellulases have been regarded as the potential biocatalysts by both the academicians and the industrial research groups. In the present study, culturable bacterial strains of Himalayan Urban freshwater lake were investigated for cellulose degrading activities. Initially, a total of 140 bacterial strains were isolated and only 45 isolates were found to possess cellulose degrading property. On the basis of preliminary screening involving cellulase activity assay on CMC agar (with clear zone of hydrolysis) and biosafety assessment testing, only single isolate named as BKT-9 was selected for the cellulase production studies. Strain BKT-9 was characterized at the molecular level using rRNA gene sequencing and its sequence homology analysis revealed its identity as

Indexed as

Cellulase activityCMCase assayEnzyme productionFreshwater sourceMedium optimization

Identifiers

PMID32884415
PMCPMC7451742
OpenAlexW3020142301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.