Abstract
Bacterial alkaline peptidases, especially from Bacillus species, occupy the frontline in global enzyme market, albeit with poor production economics. Here, we report the deployment of response surface methodology approximations to optimize fermentation parameters for enhanced yield of alkaline peptidase by the non-Bacillus bacterium; Stenotrophomonas acidaminiphila. Shake flask production under optimized conditions was scaled up in a 5-L bench-scale bioreactor. Logistic and modified Gompertz models revealed significant fits for biomass formation, total protein, and substrate consumption models. Maximum specific growth rate (µmax = 0.362 h−1) of the bacterium in the optimized medium did not differ significantly from those in Luria–Bertani and trypticase soy broths. The aqueous two-phase system-purified 45.7 kDa alkaline protease retained 83% activity which improved with increasing sodium dodecyl sulfate concentration thus highlighting potential laundry application. Maximum enzyme activity occurred at 75ºC and pH 10.5 but was inhibited by 5 mM phenyl-methyl-sulfonyl fluoride suggesting a serine-protease nature.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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The technical efforts of Dr. Joseph Ebigwai and his crew of assistants at the Research Laboratory, Calabar are highly appreciated.
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[Atim Asitok] conceived and designed the study. Material preparation, data collection and analysis were performed by [Maurice Ekpenyong], [Iquo Takon] [Atim Asitok], [Philomena Edet] and [Richard Antigha]. The first draft of the manuscript was written by [Maurice Ekpenyong], [Nkpa Ogarekpe], [Joseph Essien], [Agnes Antai] and [Sylvester Antai] and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Asitok, A., Ekpenyong, M., Takon, I. et al. A novel strain of Stenotrophomonas acidaminiphila produces thermostable alkaline peptidase on agro-industrial wastes: process optimization, kinetic modeling and scale-up. Arch Microbiol 204, 400 (2022). https://doi.org/10.1007/s00203-022-03010-9
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DOI: https://doi.org/10.1007/s00203-022-03010-9