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Study the p roduction of pediocin by p ediococcusacidilactici in r epeated f ed-batch fermentation mode on meat p rocessing waste

By: Publication details: M P Innovare Academic Sciences Pvt Ltd 2022Edition: Vol.14(12)Description: 11-15pSubject(s): Online resources: In: International journal of pharmacy and pharmaceutical scienceSummary: Objective: The production of pediocin has been studied in a repeated fed-batch reactor with intermittent feeding. The producer strain of pediocin wasPediococcus acidilctici. Meat processing waste was used as nutrient in growth media.Methods: Repeated fed-batch fermentation has been conducted in a bioreactor with three recycle ratio, such as 0.1, 0.2 and 0.3. A mathematical model has been developed for the prediction of reactor behaviour. The antimicrobial activity of pediocin was expressed as arbitrary units per millilitre (AU/ml). The concentrations of biomass, lactic acid, glucose and protein have also been measured with respect to time.Results: The experimental results were matched well with predicted data. The correlation coefficient (R2) was in between 0.95 to 0.97. The maximum productivity of pediocin was obtained 457,200 AU/h for 0.2 recycle ratio. Conclusion: The model was validated for high-accuracy prediction. The study should be applicable for large-scale pediocin production.
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Objective: The production of pediocin has been studied in a repeated fed-batch reactor with intermittent feeding. The producer strain of pediocin wasPediococcus acidilctici. Meat processing waste was used as nutrient in growth media.Methods: Repeated fed-batch fermentation has been conducted in a bioreactor with three recycle ratio, such as 0.1, 0.2 and 0.3. A mathematical model has been developed for the prediction of reactor behaviour. The antimicrobial activity of pediocin was expressed as arbitrary units per millilitre (AU/ml). The concentrations of biomass, lactic acid, glucose and protein have also been measured with respect to time.Results: The experimental results were matched well with predicted data. The correlation coefficient (R2) was in between 0.95 to 0.97. The maximum productivity of pediocin was obtained 457,200 AU/h for 0.2 recycle ratio. Conclusion: The model was validated for high-accuracy prediction. The study should be applicable for large-scale pediocin production.

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