Optimization of multiple enzymes production by fermentation using lipid-producing Bacillus sp.Show others and affiliations
2022 (English)In: Frontiers in Microbiology, E-ISSN 1664-302X, Vol. 13, article id 1049692
Article in journal (Refereed) Published
Abstract [en]
The present study identified the pectinase-producing bacterium isolated from the contaminated broth as Bacillus sp. on 16S rDNA sequence analysis. The bacterium illustrated water-like droplets on the colony grown on the Sabouraud dextrose agar plate. It also exhibited multi-enzymes activities, such as pectinase, polygalacturonase, xylanase, and cellulase by using various agro-wastes as low-cost substrates. The orange peel was observed to be the best substrate among the agro-wastes used for maximum multi-enzymes (pectinase, polygalacturonase, xylanase, and cellulase). However, the bacterium demonstrated its capability to produce different enzymes according to the different substrates/agro-wastes used. The Plackett-Burman design was used to determine the essential influencing factors, while the Box Behnken design response surface methodology was for optimizing cultural conditions. At their optimal conditions (40 degrees C incubation temperature, 24 h of incubation period, 1% w/v orange peel, and 2% v/v inoculum volume), the bacterium exhibited the maximum pectinase (9.49 +/- 1.25 U/ml) and xylanase (16.27 +/- 0.52 U/ml) activities. Furthermore, the study explored the ability of the bacterium to produce bacterial lipids and observed about 25% bacterial lipid content on a dry weight basis. Therefore, the bacterium is a good candidate for producing important multi-enzymes and subsequent agro-waste degradation controlling the environment, and facilitating waste management. Also, the bacterium can be a potential feedstock in producing renewable biofuel.
Place, publisher, year, edition, pages
Frontiers Media S.A., 2022. Vol. 13, article id 1049692
Keywords [en]
Bacillus sp, multi-enzymes, agro-wastes, optimization, lipid content
National Category
Microbiology
Identifiers
URN: urn:nbn:se:oru:diva-117554DOI: 10.3389/fmicb.2022.1049692ISI: 000885689000001PubMedID: 36386650Scopus ID: 2-s2.0-85142241680OAI: oai:DiVA.org:oru-117554DiVA, id: diva2:1917817
2024-12-032024-12-032024-12-03Bibliographically approved