An artificial intelligence tool for bioprocess monitoring: application to continuous production of gluconic acid by immobilized Aspergillus niger

Experimental data on continuous fermentation of sucrose and glucose solutio n at low pH to gluconic acid by Asprgillus niger immobilized on cellulose f abric show complex dynamic behaviour including a decline in yield. The data have been analyzed using an artificial intelligence based symbolic regress ion technique to provide a mathematical model for predicting values of conv ersion 5, 10 and 15 h ahead values of conversion. These predictions can be used during continuous operations to monitor the bioprocess and adjust the residence time of fermentation to get complete and more efficient conversio n of sucrose or glucose to gluconic acid.