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http://dx.doi.org/10.5012/jkcs.2012.56.2.257

Optimization of Process Variables for the Soda Pulping of Carpolobia Lutea (Polygalaceae) G. Don  

Ogunsile, B.O. (Department of Chemistry, University of Ibadan)
Uba, F.I. (Department of Chemistry, University of Ibadan)
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Abstract
The selection of suitable delignification conditions and optimization of process variables is crucial to the successful operation of chemical pulping processes. Soda pulping of Carpolobia lutea was investigated, as an alternative raw material for pulp and paper production. The process was optimized under the influence of three operational variables, namely, temperature, time and concentration of cooking liquor. Equations derived using a second - order polynomial design predicted the pulp yield and lignin dissolution with errors less than 8% and 11% respectively. The maximum variations in the pulp yield using a second order factorial design was caused by changes in both time and alkali concentration. Optimum pulp yield of 43.87% was obtained at low values of the process variables. The selectivity of lignin dissolution was independent of the working conditions, allowing quantitative estimations to be established between the pulp yield and residual lignin content within the range studied.
Keywords
Carpolobia lutea; Factorial design; Pulp yield; Residual lignin; Soda pulping;
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  • Reference
1 Ligero, P.; Vega, A.; Ba, O. M. Ind. Crops Prod. 2005, 21, 235.
2 Jimenez, L.; Angulo, V.; Caparros, S.; Ariza, J. Biores. Technol. 2007, 98, 3440.   DOI   ScienceOn
3 Dutt, D.; Upadhyay, J. S.; Singh, B.; Tyagi, C. H. Ind. Crops Prod. 2009, 29, 16.   DOI   ScienceOn
4 Grant, J. A Laboratory Handbook of Pulp and Paper Manufacture, 2nd ed.; Edward Arnold Ltd: 1961; p 49.
5 TAPPI. Kappa number of pulp T236CM-85. 1993.
6 Lopez, F.; Garcia, J. C.; Perez, A.; Garcia, M. M.; Feria, M. J.; Tapias, R. Chem. Engr. Res. Design: Transaction of the Institution of Chemical Engineers Part A 2010, 88(1), 1.   DOI
7 Laine, J.; Stenius, P. Cellulose 1994, 1, 145.   DOI   ScienceOn
8 Yu, Y.; Koljonen, K.; Paulapuro, H. Ind. Crops Prod. 2002, 15, 123.   DOI   ScienceOn
9 Masura, V. TAPPI J. 1993, 76, 105.
10 Global Forest Resources Assessment, FAO - Food and Agriculture Organization of the United Nations Rome, 2005.
11 Ashori, A. Polymer-Plastic Technol. Eng. 2006, 45, 1133.   DOI   ScienceOn
12 Kissinger, M.; Fix, J.; Rees, W. E. Ecological Economics, 2007, 62, 552.   DOI   ScienceOn
13 West, T. O.; Marland, G. Agriculture, Ecosystems & Environ. 2002, 91, 218.
14 Chauhan, L.; Dhawan, S.; Gupta, S. Journal of the T.D.A. 2000, 46, 11.
15 Jimenez, L.; Rodrigueza, A.; Pereza, A.; Morala, A.; Serranoa, L. Ind. Crops Prod. 2008, 28, 11.   DOI   ScienceOn
16 Ettebong E.; Nwafor, P. African J. Biotech. 2009, 8, 12.
17 Raw Material Research and Development Council (RMRDC). Report on the Techno-Economic survey of the multi-disciplinary task force on pulp, paper products printing and publishing sector, Lagos, Nigeria, 1996.
18 Oluwadare, A. O. J. Trop. For. Resour. 1998, 14, 110.
19 Inyang, E. The Verdict Press 2003, 1, 111.
20 Ogunsile, B. O.; German C. Q. Biores. 2010, 5(4), 2417.
21 Tjeerdsma, B. F.; Zomers, F. H. A.; Wilkizon, E. C.; Sierra- Alvarez, R. Holzforschung 1994, 48(5), 415.   DOI   ScienceOn
22 Aknazarova, S.; Kafarov, V. Experiment Optimization in Chemistry and Chemical Engineering; Mir Publishers: Moscow, 1982.
23 Vazquez, G.; Antorrena, G.; Gonzalex, J. Holzforschung, 1995, 49, 69.   DOI   ScienceOn
24 Vega, A.; Bao, M.; Lamas, J. Biores. Technol. 1997, 61, 1.   DOI   ScienceOn
25 Gilarranz, M. A.; Oliet, M.; Rodriguez, F.; Tijero, J. Canadian J. Chemical Engineering 1999, 77(3), 515.   DOI
26 Lopez, F.; Dyaz, M. J.; Eugenio, M. E.; Ariza, J.; Rodryguez, A.; Jimenez, L. Biores. Technol. 2003, 87, 255.   DOI   ScienceOn