dc.contributor.author | Ayeni, Augustine O. | |
dc.contributor.author | Sekoai, Patrick T. | |
dc.contributor.author | Daramola, Michael O. | |
dc.contributor.author | Taiwo, Olugbenga | |
dc.contributor.author | Olanrewaju, Omowonuola I. | |
dc.date.accessioned | 2019-09-20T06:15:05Z | |
dc.date.available | 2019-09-20T06:15:05Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Ayeni, 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.issn | 1874-1231 (Online) | |
dc.identifier.uri | http://hdl.handle.net/10394/33344 | |
dc.identifier.uri | https://benthamopen.com/DOWNLOAD-PDF/TOCENGJ-13-88/ | |
dc.identifier.uri | https://doi.org/10.2174/1874123101913010088 | |
dc.description.abstract | Background:
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 data | en_US |
dc.language.iso | en | en_US |
dc.publisher | Bentham Open | en_US |
dc.subject | Citric acid | en_US |
dc.subject | Central composite design | en_US |
dc.subject | Pineapple waste | en_US |
dc.subject | Fermentation | en_US |
dc.subject | Statistical optimization | en_US |
dc.subject | Aspergillus niger | en_US |
dc.title | Production of citric acid from the fermentation of pineapple waste by Aspergillus niger | en_US |
dc.type | Article | en_US |
dc.contributor.researchID | 31589235 - Sekoai, Patrick Thabang | |