Mathematical modeling of batch bioethanol generation from carob extract in the suspended-cell stirred-tank bioreactor

Germec M., KARHAN M., Demirci A., TURHAN İ.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH, cilt.44, sa.11, ss.9021-9034, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 44 Sayı: 11
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1002/er.5612
  • Dergi Adı: INTERNATIONAL JOURNAL OF ENERGY RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Environment Index, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.9021-9034
  • Anahtar Kelimeler: bioreactor, carob extract medium, ethanol fermentation, modeling, suspended cells, CERATONIA-SILIQUA L., BETA-MANNANASE PRODUCTION, ETHANOL-PRODUCTION, SACCHAROMYCES-CEREVISIAE, ACID PRODUCTION, POD EXTRACT, BACTERIAL-GROWTH, FERMENTATION, OPTIMIZATION, MORPHOLOGY
  • Akdeniz Üniversitesi Adresli: Evet

Özet

In this study, various functions were evaluated and utilized to forecast observed values and kinetic parameters of the batch ethanol fabrication from carob extract in the suspended-cell stirred tank reactor (SCSTR). The best model was detected with the model comparison parameters (root-mean-square-error [RMSE], mean-absolute-error [MAE], andR(2)). The results indicated that the model Stannard (ST) successfully predicted biomass production data (RMSE = 0.26 g L-1, MAE = 0.18 g L-1, andR(2)= 0.9910), ethanol fabrication data (RMSE = 2.44 g L-1, MAE = 1.88 g L-1, andR(2)= 0.9809), and sugar depletion data (RMSE = 2.82 g L-1, MAE = 2.17 g L(-1)andR(2)= 0.9938). Nevertheless, the lowest value of the objective function (phi-factor) was also yielded as 0.041 using the model ST. Additionally, in the estimation of the kinetic data, the model ST also gave well-directed results. Besides, when an independent set of the observed values was utilized to confirm the mathematical functions, the satisfactory consequences were achieved in terms of both the experimental and kinetic values. Consequently, the model ST can work as a universal function in predicting observed values and kinetics of batch ethanol generation from carob extract in an SCSTR.