Advertisement

Adsorption

, Volume 22, Issue 3, pp 357–370 | Cite as

Multicomponent adsorption modeling: isotherms for ABE model solutions using activated carbon F-400

  • Niloofar Abdehagh
  • F. Handan Tezel
  • Jules ThibaultEmail author
Article

Abstract

Biobutanol has attracted significant interest in recent decades and is seriously considered as a potential biofuel to partly replace gasoline. However, some production challenges must be addressed to make butanol economically viable such as the low product concentration and product toxicity inhibiting the microorganism. To alleviate these limitations, several in situ or ex situ separation techniques have been investigated in view of their integration to the biobutanol production process to enhance its economic viability. One of these techniques is adsorption which is one of the most energy-efficient techniques used for biobutanol separation. Considering the number of chemical species present in the ABE fermentation broth, it is essential to develop multicomponent adsorption isotherms for all components as a first step to design a high performance adsorption process. Few multicomponent isotherm models have been proposed such as multicomponent Langmuir and Freundlich. In this study, these two models as well as artificial neural networks were used to model the isotherms of each component in an ABE fermentation broth as a function of the equilibrium concentrations of all components for activated carbon F-400. Results showed that the multicomponent Langmuir model was not accurate due to the many simplifying assumptions. The multicomponent Freundlich and feedforward neural network (FFNN) isotherm models were able to predict the behavior of multicomponent systems very well. Indeed, the predictive model of the experimental data had a coefficient of determination (R2) of 0.97 and 0.99, for multicomponent Freundlich and FFNN isotherm models, respectively.

Keywords

Biobutanol Adsorption Isotherm model Artificial neural network Langmuir adsorption isotherm Freundlich adsorption isotherm 

Abbreviations

ABE

Acetone–butanol–ethanol

ANN

Artificial neural network

FFNN

Feed forward neural network

HL

High level

LL

Low level

SC

Single component

Nomenclature

aij

Competition coefficient in multicomponent Freundlich isotherm model

b

Constant in multicomponent Langmuir isotherm model (L/g adsorbate)

C

Adsorbate concentration at equilibrium (g/L)

\(\overline{C}\)

Normalized adsorbate concentration at equilibrium (g/L)

C*

Adsorbate concentration in equilibrium with adsorbed phase concentration q (g/L)

n

Constant in multicomponent Freundlich isotherm model

K

Constant in multicomponent Freundlich isotherm model (L/g adsorbent)

q

Adsorption capacity (g adsorbate/g adsorbent)

q*

Adsorption capacity in equilibrium with bulk liquid concentration C (g adsorbate/g adsorbent)

qs

Saturation adsorption capacity (g adsorbate/g adsorbent)

\(\overline{q}\)

Normalized adsorption capacity (g adsorbate/g adsorbent)

W

Weights in FFNN model

Notes

Acknowledgments

The authors would like to acknowledge the Natural Science and Engineering Research Council (NSERC) of Canada and Ontario Graduate Scholarship (OGS) for their financial support.

References

  1. Abdehagh, N., Tezel, F.H., Thibault, J.: Adsorbent screening for biobutanol separation by adsorption: kinetics, isotherms and competitive effect of other compounds. Adsorption 19, 1263–1272 (2013)CrossRefGoogle Scholar
  2. Abdehagh, N., Tezel, F.H., Thibault, J.: Separation techniques in butanol production: challenges and developments (review). Biomass Bioenergy 60, 222–246 (2014)CrossRefGoogle Scholar
  3. Abdehagh, N., Gurnani, P., Tezel, F.H., Thibault, J.: Adsorptive separation and recovery of biobutanol from ABE model solutions. Adsorption 21, 185–194 (2015)CrossRefGoogle Scholar
  4. Antoni, D., Zverlov, V.V., Schwarz, W.H.: Biofuels from microbes (mini review). Appl. Microbiol. Biotechnol. 77, 23–35 (2007)CrossRefGoogle Scholar
  5. Basu, S., Henshaw, P.F., Biswas, N., Kwan, H.K.: Prediction of gas phase adsorption isotherms using neural nets. Can. J. Chem. Eng. 80, 1–7 (2002)CrossRefGoogle Scholar
  6. Bulsari, A.B., Palosaafi, A.: Application of neural networks for system identification of an adsorption column. Neural Comput. Appl. 1, 160–165 (1993)CrossRefGoogle Scholar
  7. Carsky, M., Do, D.D.: Neural network modeling of adsorption of binary vapour mixtures. Adsorption 5, 183–192 (1999)CrossRefGoogle Scholar
  8. Dellomonaco, C., Fava, F., Gonzalez, R.: The path to next generation biofuels: successes and challenges in the era of synthetic biology. Microb. Cell Fact. 9, 3 (2010)CrossRefGoogle Scholar
  9. Do, D.D.: Adsorption Analysis: Equilibria and Kinetics. Imperial College Press, London (1998)Google Scholar
  10. Dürre, P.: Biobutanol: an attractive biofuel. Biotechnol. J. 2, 1525–1534 (2007)CrossRefGoogle Scholar
  11. Ezeji, T.C., Qureshi, N., Blaschek, H.P.: Production of acetone, butanol and ethanol by Clostridium beijerinckii BA101 and in situ recovery by gas stripping. World J. Microbiol. Biotechnol. 19, 595–603 (2003)CrossRefGoogle Scholar
  12. Ezeji, T.C., Qureshi, N., Blaschek, H.P.: Butanol fermentation research: upstream and downstream manipulations. Chem. Rec. 4, 305–314 (2004)CrossRefGoogle Scholar
  13. Ezeji, T.C., Qureshi, N., Blaschek, H.P.: Bioproduction of butanol from biomass: from genes to bioreactors. Curr. Opin. Biotechnol. 18, 220–227 (2007)CrossRefGoogle Scholar
  14. Fouad, E.A., Feng, X.: Use of pervaporation to separate butanol from dilutes aqueous solutions: effects of operating conditions and concentration polarization. J. Membr. Sci. 323, 428–435 (2008)CrossRefGoogle Scholar
  15. Freundlich, H.M.F.: Über die adsorption in Lösungen. Z. Phys. Chem. 57(A), 385–470 (1906)Google Scholar
  16. Groot, W.J., Luyben, K.Ch.A.M.: In situ product recovery by adsorption in the butanol/isopropanol batch fermentation. Appl. Microbiol. Biotechnol. 25, 29–31 (1986)Google Scholar
  17. Harvey, B.G., Meylemans, H.A.: The role of butanol in the development of sustainable fuel technologies. J. Chem. Technol. Biotechnol. 86, 2–9 (2011)CrossRefGoogle Scholar
  18. Holtzapple, M.T., Brown, R.F.: Conceptual design for a process to recover volatile solutes from aqueous solutions using silicalite. Sep. Technol. 4, 213–229 (1995)CrossRefGoogle Scholar
  19. Jiao, P., Wu, J., Zhou, J., Yang, P., Zhuang, W., Chen, Y., Zhu, C., Guo, T., Ying, H.: Mathematical modeling of the competitive sorption dynamics of acetone–butanol–ethanol on KA-I resin in a fixed-bed column. Adsorption 21, 165–176 (2015)CrossRefGoogle Scholar
  20. Langmuir, I.: The adsorption of gases on plane surface of glass, mica and platinum. J. Am. Chem. Soc. 40, 1361–1402 (1918)CrossRefGoogle Scholar
  21. Lewandowski, J., Lemcoff, N.O., Palosaari, S.: Use of neural networks in the simulation and optimization of pressure swing adsorption processes. Chem. Eng. Technol. 21(7), 593–597 (1998)CrossRefGoogle Scholar
  22. Lim, B.G., Ching, C.B., Tan, R.B.H.: Determination of competitive adsorption isotherms of enantiomers on dual-side adsorbent. Sep. Technol. 5, 213–228 (1995)CrossRefGoogle Scholar
  23. Maddox, I.S.: Use of silicalite for the adsorption of n-butanol from fermentation liquids. Biotechnol. Lett. 4, 759–760 (1982)CrossRefGoogle Scholar
  24. Morse, G., Jones, R., Thibault, J., Tezel, F.H.: Neural network modelling of adsorption isotherms. Adsorption 17, 303–309 (2011)CrossRefGoogle Scholar
  25. Nielsen, L., Larsson, M., Hoist, O., Mattiasson, B.: Adsorbents for extractive bioconversion applied to the acetone-butanol fermentation. Appl. Microbiol. Biotechnol. 28, 335–339 (1988)CrossRefGoogle Scholar
  26. Nielsen, D.R., Prather, K.J.: In situ product recovery of n-butanol using polymeric resins. Biotechnol. Bioeng. 102, 811–821 (2009)CrossRefGoogle Scholar
  27. Oudshoorn, A., Van der Wielen, L.A.M., Straathof, A.J.J.: Adsorption equilibria of bio-based butanol solutions using zeolite. Biochem. Eng. J. 48, 99–103 (2009)CrossRefGoogle Scholar
  28. Oudshoorn, A., Van derWielen, L.A.M., Straathof, A.J.J.: Desorption of butanol from zeolite material. Biochem. Eng. J. 67, 167–172 (2012)CrossRefGoogle Scholar
  29. Qureshi, N., Blaschek, H.P.: Production of acetone butanol ethanol (ABE) by a hyper-producing mutant strain of Clostridium beijerinckii BA101 and recovery by pervaporation. Biotechnol. Prog. 15, 594–602 (1999)CrossRefGoogle Scholar
  30. Qureshi, N., Hughes, S., Maddox, I.S., Cotta, M.A.: Energy-efficient recovery of butanol from model solutions and fermentation broth by adsorption. Bioprocess Biosyst. Eng. 27, 215–222 (2005)CrossRefGoogle Scholar
  31. Remi, J.C.S., Remy, T., Van Hunskerken, V., Van de Perre, S., Duerinck, T., Maes, M., De Vos, D., Gobechiya, E., Kirschock, C.E.A., Baron, G.V., Denayer, J.F.M.: Biobutanol separation with the metal-organic framework ZIF-8. ChemSusChem 4, 1074–1077 (2011)CrossRefGoogle Scholar
  32. Remi, J.C.S., Baron, G.V., Denayer, J.F.M.: Adsorptive separation for the recovery and purification of biobutanol. Adsorption 18, 367–373 (2012)CrossRefGoogle Scholar
  33. Ruthven, D.M.: Principles of adsorption and adsorption processes. Wiley, New York (1984)Google Scholar
  34. Saravanan, V., Waijers, D.A., Ziari, M., Noordermeer, M.A.: Recovery of 1-butanol from aqueous solutions using zeolite ZSM-5 with a high Si/Al ratio; suitability of a column process for industrial applications. Biochem. Eng. J. 49, 33–39 (2010)CrossRefGoogle Scholar
  35. Shapovalov, O.I., Ashkinazi, L.A.: Biobutanol: biofuel of second generation. Russ. J. Appl. Chem. 81(12), 2232–2236 (2008)CrossRefGoogle Scholar
  36. Sharma, P., Chung, W.J.: Synthesis of MEL type zeolite with different kinds of morphology for the recovery of 1-butanol from aqueous solution. Desalination 275, 172–180 (2011)CrossRefGoogle Scholar
  37. Sowerby, B., Crittenden, B.D.: Vapour phase separation of alcohol water mixtures by adsorption onto silicalite. Gas Sep. Purif. 2, 177–183 (1988)CrossRefGoogle Scholar
  38. Thompson, A.B., Cope, S.J., Swift, T.D., Notestein, J.M.: Adsorption of n-butanol from dilute aqueous solution with grafted calixarenes. Langmuir 27, 11990–11998 (2011)CrossRefGoogle Scholar
  39. Wu, X.-H., Lin, B.-C.: Model modification of binary competitive isotherm. J. Liquid Chromatogr. Relat. Technol. 32, 2465–2483 (2009)CrossRefGoogle Scholar
  40. Wu, J., Zhuang, W., Ying, H.: Acetone-butanol-ethanol competitive sorption simulation from single, binary, and ternary systems in a fixed-bed of KA-I resin. Biotechnol. Prog. 31(1), 124–134 (2014)CrossRefGoogle Scholar
  41. Yang, M., Hubble, J., Fang, M., Locke, A.D., Rathbone, R.R.: A neural network for breakthrough prediction in packed bed adsorption. Biotechnol. Tech. 7(2), 155–158 (1993)CrossRefGoogle Scholar
  42. Yang, X., Tsai, G.J., Tsao, G.T.: Enhancement of in situ adsorption on the acetone-butanol fermentation by Clostridium acetobutylicum. Sep. Technol. 4, 81–92 (1994)CrossRefGoogle Scholar
  43. Zheng, Y.N., Li, L.Z., Xian, M., Ma, Y.J., Yang, J.M., Xu, X., He, D.Z.: Problems with the microbial production of butanol. J. Ind. Microbiol. Biotechnol. 36, 1127–1138 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Niloofar Abdehagh
    • 1
  • F. Handan Tezel
    • 1
  • Jules Thibault
    • 1
    Email author
  1. 1.Department of Chemical and Biological EngineeringUniversity of OttawaOttawaCanada

Personalised recommendations