1988
DOI: 10.1002/jctb.280410305
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Production of protease by bacillus subtilis using simultaneous control of glucose and ammonium concentrations

Abstract: Batch, ammonium‐controlled and simultaneous glucose and ammonium controlled fermentations were compared for the production of protease by Bacillus subtilis NCIB 8054. During fermentations of B. subtilis, maximum protease production was obtained in the stationary phase. Protease production in fermentations controlled at 5 mmol dm−3 ammonium was 1.5 times greater than in uncontrolled batch fermentations. Simultaneous control of ammonium at 5 mmol dm−3 and glucose at 0.15 g dm−3 using controllers based on an ammo… Show more

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Cited by 70 publications
(29 citation statements)
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“…Interestingly, ammonium chloride, one of the most readily metabolizable nitrogen compound was found to greatly favor the production of protease, being a contrast to the findings reported previously (13,14,22).…”
Section: Isolation and Identification Of The Microorganismcontrasting
confidence: 98%
“…Interestingly, ammonium chloride, one of the most readily metabolizable nitrogen compound was found to greatly favor the production of protease, being a contrast to the findings reported previously (13,14,22).…”
Section: Isolation and Identification Of The Microorganismcontrasting
confidence: 98%
“…It is clear from the literature that production of extracellular protease is highly influenced by media components, viz. variation in C/N ratio, presence of easily metabolizable sugars, such as glucose [27][28][29] and presence of metal ions [30]. Besides, several other factors, such as aeration, inoculum density, pH, temperature, and incubation time also affect the protease production [5,31].…”
Section: Resultsmentioning
confidence: 99%
“…The production of extracellular protease in microorganisms is influenced significantly by physical factors such as pH, temperature, dissolved oxygen, incubation time, inoculum level, aeration and agitation and medium constituents (Hanlon et al, 1982;McKeller and Cholette, 1984;Kole et al, 1988;Calik et al, 2002Calik et al, , 2003Shafee et al, 2006;Potumarthi et al, 2007). Response surface methodology (RSM) is a collection of statistical techniques for designing experiments, building models, evaluating the effects of factors and searching optimum levels of parameters for desirable responses (Myers and Montgomery, 2002).…”
Section: Introductionmentioning
confidence: 99%