ArticleBMC biotechnology2026
Statistical optimization of fermentation conditions for enhanced production of Nattokinase from Bacillus subtilis MM26.
Article in BMC biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Investigating bioactive potential of the Serratia sp. CS01 and its pigment for anti-inflammatory, antioxidant and antibacterial action.Scientific reports · 2026Article
- Enhanced production of Nattokinase by Bacillus aryabhattai RP6 isolated from fermented Brassica oleracea.BMC biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNattokinase, a potent fibrinolytic serine protease enzyme has drawn significant industrial attention due to its remarkable thrombolytic activity. It is a natural alternative to conventional anticoagulant drugs because of its ability to disintegrate fibrin clots. Conventional fermentation methods frequently provide Nattokinase with poor yields, limiting production efficiency. Hence improving production strategies to enhance Nattokinase are necessary due to the growing demand for safe, efficient, and economical thrombolytic medicines worldwide. This research study aims to optimize the production parameters to enhance the Nattokinase production by Bacillus subtilis MM26, a newly isolated strain. Notably, the strain displays the unique capability to produce Nattokinase in a Menaquinone-7 (MK-7) production medium, demonstrating its adaptability.
resultsAn optimum production medium for the Nattokinase synthesis by Bacillus subtilis MM26 was identified and produced 155.1 ± 1.24 U/mL of enzyme. The significant variables influencing Nattokinase production were first identified using one factor at a time (OFAT) approach. Response surface methodology (RSM) predicted the statistically optimized conditions, resulting a yield of 3770.66 ± 0.06 U/mL. The purified enzyme was characterized using various analytical techniques including Matrix-assisted laser desorption ionization–tandem time-of-flight mass spectrometry (MALDI TOF), High Performance Liquid Chromatography (HPLC) and Fourier Transform Infrared spectroscopy (FTIR). Fibrin zymography exhibited a clear lytic band corresponding to approximately 27 kDa, confirming the fibrinolytic activity of Nattokinase.
conclusionsThe research findings highlight the ability of Bacillus subtilis MM26 for enhanced Nattokinase production. By combining OFAT and RSM, a substantial increase in the activity of enzyme was noted and the characterization validated its identity, purity and fibrinolytic efficiency. The adaptability and high productivity of the strain emphasize its suitability for economical, scalable applications in the nutraceutical or industrial applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.