Evidence map›Paper›PMID 42463957›Full record

ArticleScientific reports2026

Process optimization and characterization of levan from Sporosarcina globispora MTCC 4776.

Shah Nisha, S Balaji, N Kannan

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

3 authors.

Shah NishaManipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
S BalajiManipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
N KannanManipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. kannan.ns@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore Sporosarcina globispora MTCC 4776 to produce levan using submerged fermentation. The assessment of carbon and nitrogen sources revealed that a moderate concentration of sucrose and tryptone improved levan production. Eight of the independent variables, concentration of sucrose, tryptone, CaCl₂·2H₂O, K₂HPO₄, MgSO₄·7H₂O, % of inoculum, incubation time and agitation speed was assessed with twelve experimental runs through Plackett-Burman design. Concentration of sucrose, tryptone and agitation speed were found to be significant. These factors were further optimized using Central Composite Design, yielding a maximum of 1.41 g/L of levan, which is a 6.2-fold increase compared to unoptimized conditions. The extracted levan was characterized for its structure and physicochemical properties by FTIR,

Indexed as

FructansSporosarcinaCarbonFermentationMagnetic Resonance SpectroscopyNitrogenSpectroscopy, Fourier Transform InfraredSucroseCarbonFructanslevanNitrogenSucroseExopolysaccharideFTIRLevanNMROptimizationSDG3

Identifiers

PMID42463957
PMCPMC13482570

What OpenQuestion holds

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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.