31Mar 2017

APPLICATION OF DESIGN EXPERT IN THE ANALYSIS OF RESPONSE TRANSFORMATION OF PROCESSES ? A CASE STUDY OF BIOETHANOL PRODUCTION PROCESS FROM CORN-STOVER.

  • Department of Chemical Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria.
  • Department of Agricultural and Bioresources Engineering, Michael Okpara University of Agriculture, Umudike Abia State, Nigeria.
  • Abstract
  • References
  • Cite This Article as
  • Corresponding Author

Statistical tools and features of the Design Expert software (7.0.0 Trial version) were used in experimental design and analyses of bioethanol production process from corn stover. The Box-Behnken design (BBD) was used in the design of the experiments and it yielded a total of 54 experimental runs. The response variable, Bioethanol (mg/l) was represented with Y, while the six independent variables; Sulphuric acid concentration, Hydrolysis time, Fermentation time, Concentration of yeast, Fermentation temperature and pH of Hydrolysate samples were represented by A, B, C, D, E & F respectively. A model equation was developed from the experimental results using the analysis of variance (ANOVA) feature of the Design Expert software. From the analyses of variance, only the terms A, F, AF, CD, A2 were significant model terms (having P-value ≤ 0.05), which resulted in a reduced Model Equation (i.e. Adjusted) in terms of actual factors, as follows: Y = 552.60398 - 0.31052*A + 3.87830*F - 5.76556*A*F - 0.26625*C*D + 5.38883*A2. The optimum process parameters for the predicted optimum bioethanol yield of 149.41 mg/l were 1.08%, 3.32hrs, 14.32hrs, 6.43g/l, 39.34oC and 7.64 for A, B, C, D, E & F respectively. However, an experimental bioethanol yield of 143.15 mg/l was obtained from three experimental replicates with the optimum process parameters. The experimental bioethanol yield obtained was 95.81% close to the predicted optimum bioethanol yield. The values of R, R2, adjusted R2 and Adeq Precision were 0.8747, 0.7651, 0.5212 and 8.309 respectively. The value of R2 indicates a good degree of correlation between the experimental and predicted bioethanol yields. The model is adjudged to be adequate since the "Adeq Precision" is greater than 4.


  1. Black, S. (2013). ?Cure for cratering: Gel coat perfected with design of experiments software,?CompositesWorld.
  2. Box, G. E. P. and Cox, D. R. (1964). An analysis of transformations,Journal of the Royal Statistical Society, Series B,?26, 211-252.
  3. Cao, G., Ren, N., Wang, A., Lee, D. J., Guo, W., Liu, B., and Zhao, Q. (2009). Acid hydrolysis of corn stover for biohydrogen production using Thermoanaerobacterium thermosaccharolyticum W16.international journal of hydrogen energy,?34(17), 7182-7188.
  4. Comley, J. (2009). ?Design Of Experiments: useful statistical tool in assay development or vendor disconnect!?,Drug Discovery World, Winter.
  5. Dasgupta, D., Suman, S.K., Pandey, D., Ghosh, D., Khan, R.M., Agrawal, D.M., Jain, R.K., Vadde, V.T., and Adhikari, D.K. (2013). Design and optimization of ethanol production from bagasse pith hydrolysate by a thermotolerant yeast Kluyveromyces IIPE453 using response surface methodology. Springer Plus, 2:159
  6. Engle, R. F., and Sheppard, K. (2001).Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH?(No. w8554). National Bureau of Economic Research.
  7. Hothorn, T., and Everitt, B. S. (2014).A handbook of statistical analyses using R. CRC press.
  8. Montgomery, D.C. (2005). Design and Analysis of Experiments: Response surface method and designs. New Jersey: John Wiley and Sons, Inc.
  9. Nuran, B. (2007). Response Surface Methodology; Sc. Project, Department of Mathematical Sciences, Unpublished, Indiana University of South Bend.
  10. Ndirika, V.I.O. and Ikejiofor, M.C. (2015).?Mathematical modeling and optimization of post-harvest processes?. Paper Presented at a Three day Training Workshop on Basic Mathematical Modeling, Organized by the National Centre for Equipment Maintenance and Development (NCEMD), University of Nigeria, Nsukka.
Pic. 5: Alkaline pretreated corn stover.
  1. Plant, A. (2013). ?Be Sure to Check the Residuals When Analyzing the Outcome of your Designed Experiments,?SQT blog.
  2. Tanco, M., Viles, E., Ilzarbe, L. and Jesus Alvarez, M. (2008). ?Dissecting DoE Software,?Six Sigma Forum Magazine.

[Ohimor Evuensiri Onoghwarite, Ndirika Victor Ifeanyichukwu Obiora and Eke Akachukwu Ben. (2017); APPLICATION OF DESIGN EXPERT IN THE ANALYSIS OF RESPONSE TRANSFORMATION OF PROCESSES ? A CASE STUDY OF BIOETHANOL PRODUCTION PROCESS FROM CORN-STOVER. Int. J. of Adv. Res. 5 (Mar). 2006-2017] (ISSN 2320-5407). www.journalijar.com


Engr. Ohimor E.Onoghwarite
Chemical Engineering Dept. College of Technology FUPRE

DOI:


Article DOI: 10.21474/IJAR01/3719      
DOI URL: https://dx.doi.org/10.21474/IJAR01/3719