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dc.contributor.authorAyeni, Augustine O.
dc.contributor.authorSekoai, Patrick T.
dc.contributor.authorDaramola, Michael O.
dc.contributor.authorTaiwo, Olugbenga
dc.contributor.authorOlanrewaju, Omowonuola I.
dc.date.accessioned2019-09-20T06:15:05Z
dc.date.available2019-09-20T06:15:05Z
dc.date.issued2019
dc.identifier.citationAyeni, A.O. et al. 2019. Production of citric acid from the fermentation of pineapple waste by Aspergillus niger. Open chemical engineering journal, 13(1):88-96. [https://doi.org/10.2174/1874123101913010088]en_US
dc.identifier.issn1874-1231 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/33344
dc.identifier.urihttps://benthamopen.com/DOWNLOAD-PDF/TOCENGJ-13-88/
dc.identifier.urihttps://doi.org/10.2174/1874123101913010088
dc.description.abstractBackground: Citric acid, aside its uses as a cleaning agent, has varied applications in the chemical, pharmaceutical, and food industries. A biotechnological fermentation process is one of the easiest ways to satisfy the demands for this useful commodity. Methods: The fermentation of pineapple waste by Aspergillus niger for the production of citric acid was investigated in this study. STATISTICA 8 release 7 (Statsoft, Inc. USA) statistical software was used for the design of experiments, evaluation, and optimization of the process using the central composite design (CCD), a response surface methodology approach. Lower-upper limits of the design for the operating parameters were temperature (25-35 oC), fermentation time (35-96 h), pH (3-6), methanol concentration (1-7%) and glucose (15-85 g/L). Twenty-seven duplicated experimental runs were generated for the CCD route. Results & Conclusion: The optimal operating conditions were validated at 38 g/L of glucose concentration, 3% (v/v) of methanol, 50 h of fermentation time, pH of 4.3 and temperature of 30 oC which yielded15.51 g/L citric acid. The statistical significance of the model was evaluated using a one-way analysis of variance. The validated predicted response values obtained from the statistical model showed close relationships with the experimental dataen_US
dc.language.isoenen_US
dc.publisherBentham Openen_US
dc.subjectCitric aciden_US
dc.subjectCentral composite designen_US
dc.subjectPineapple wasteen_US
dc.subjectFermentationen_US
dc.subjectStatistical optimizationen_US
dc.subjectAspergillus nigeren_US
dc.titleProduction of citric acid from the fermentation of pineapple waste by Aspergillus nigeren_US
dc.typeArticleen_US
dc.contributor.researchID31589235 - Sekoai, Patrick Thabang


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