Evidence map›Paper›PMID 25032215›Full record

ArticleBioMed research international2014

Statistical approach for production of PUFA from Kocuria sp. BRI 35 isolated from marine water sample.

Swanandi Pote, Rama Bhadekar

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 88% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Anti-microfouling Activity ofFrontiers in microbiology · 2018
    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

2 authors at 1 institution in 1 country.

Swanandi PoteDepartment of Microbial Biotechnology, Rajiv Gandhi Institute of I.T. and Biotechnology, Bharati Vidyapeeth Deemed University, Katraj, Pune, Maharashtra 411046, India.ORCID 0000-0001-7593-3444
Rama BhadekarDepartment of Microbial Biotechnology, Rajiv Gandhi Institute of I.T. and Biotechnology, Bharati Vidyapeeth Deemed University, Katraj, Pune, Maharashtra 411046, India.ORCID 0000-0002-4452-9462
Bharati Vidyapeeth Deemed University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, Plackett-Burman design was used to identify the most influential parameters affecting PUFA production by Kocuria sp. BRI 35 isolated from Antarctic water sample. Amongst 10 variables evaluated, magnesium chloride, protease peptone, glucose, and temperature were significant. Response surface methodology consisting of a central composite design was developed to study the interactions between the variables and to determine optimal values of significant variables. A quadratic model (R = 0.9652, F = 14.64, P < 0.0001) was built. The contour plots indicated that the isolate produced maximum PUFA at lower concentrations of magnesium sulfate (0.9 g/L) and higher concentrations of protease peptone (5 g/L) and glucose (10 g/L) at 15°C. MgSO4 and glucose exhibited quadratic as well as interactive effect on PUFA production whereas protease peptone and temperature showed interactive effects only. After optimization, PUFA production per unit biomass increased from 0.94 mg/g to 11.12 mg/g. This represented an increase from 3% to 58.62% of the total fatty acids. Among PUFAs, the yield of ω -6 fatty acids increased from 9.66 mg/L to 107.71 mg/L with significant increase in linoleic acid (20.36 mg/L) whereas ω -3 fatty acids increased up to 12.37 mg/L with DHA being the major ω -3 fatty acid produced.

Indexed as

Aquatic OrganismsMicrococcaceaeWater MicrobiologyFatty Acids, UnsaturatedFatty Acids, Unsaturated

Identifiers

PMID25032215
PMCPMC4074494
OpenAlexW2138127892

What OpenQuestion holds

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LicenceCC BY
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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.