Degradation Kinetics of Arabinose and Furfural in Subcritical Water

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Abstract:

To clarify the degradation mechanism of arabinose in a subcritical water system, the degradation process kinetics of arabinose and furfural in a subcritical water system was studied for temperatures from 210 to 250°C and under pressure of 10Mpa. The activation energy and frequency factor for the degradation of each substrate were estimated from the temperature dependence of the rate constant. The molar yield of a arabinose to furfural was ca. 0.3 at any temperature, Acidic compounds were also formed from the arabinose in proportion to the amount of consumed substrates. The formation of acidic compounds resulted in a rapid decrease in pH.

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Advanced Materials Research (Volumes 512-515)

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366-370

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chen, J. Progress in the production technique of furfural, Guizhou Chemical Industry, 30(2) (2005) 6-8. (in Chinese).

Google Scholar

[2] Yoon, K.Y., Woodams, E.E., Hang, Y.D. Enzymatic production of pentoses from the hemicellulose fraction of corn residues, LWT Food Sci. Technol., 39(4) (2006) 388- 392.

DOI: 10.1016/j.lwt.2005.02.005

Google Scholar

[3] Fujii, T., Khuwijitjaru, P., Kimura, Y., Adachi,S. Decomposition kinetics of monoacyl glycerol and fatty acid in subcritical water under temperature-programmed heating conditions. Food Chemistry, 94 (2006) 341–347.

DOI: 10.1016/j.foodchem.2004.11.021

Google Scholar

[4] Khuwijitjaru, P., Fujii, T., Adachi, S., Kimura, Y., & Matsuno, R. Kinetics on the hydrolysis of fatty acid esters in subcritical water. Chemical Engineering Journal, 99 (2004) 1–4.

DOI: 10.1016/j.cej.2003.08.002

Google Scholar

[5] Haghighat Khajavi, S., Kimura, Y., Oomori, T., Matsuno, R., & Adachi, S. Decomposition kinetics of maltose in subcritical water. Bioscience, Biotechnology, and Biochemistry, 68(2004) 91–95.

DOI: 10.1271/bbb.68.91

Google Scholar

[6] Antal, M.J., Leesomboon, T., Mok, W.S., Richards, GN. Mechanism of formation of 2-furaldehyde from D-xylose, Carbohydrate Res., 217(1991) 71-85.

DOI: 10.1016/0008-6215(91)84118-x

Google Scholar

[7] Sasaki, M., Hayakawa, T., Arai, K., Adschiri, T. Measurement of the rate of retro-aldol condensation of D-xylose in subcritical and supercritical water , In: Hydrothermal Reactions and Techniques, Feng, S.H., Chen, J.S., Shi, Z., eds., World Scientific Publishing, Co. Pte. Ltd., Singapore, (2003) 169-176.

DOI: 10.1142/9789812705228_0022

Google Scholar

[8] JING Qi and LU Xiuyang. Kinetics of Non-catalyzed Decomposition of D-xylose in High Temperature Liquid Water. Chin. J. Chem. Eng., 15(5) (2007) 666-669

DOI: 10.1016/s1004-9541(07)60143-8

Google Scholar

[9] Montane, D., Salvado, J., Torras, C., Farriol, X., High-temuerature dilute-acid hvdrolvsis of olive stones for vfurfukil production", Biohass Bioenergy, 22(4) (2002) 295-304.

Google Scholar

[10] Manso, M. C., Oliveira, F. A. R., Oliveira, J. C., & Frı´as, J. M. Modelling ascorbic acid thermal degradation and browning in orange juice under aerobic conditions. International Journal of Food Science and Technology, 36(2001) 303–312.

DOI: 10.1046/j.1365-2621.2001.t01-1-00460.x

Google Scholar

[11] Harris, D. C. Nonlinear least-squares curve fitting with microsoft excel solver. Journal of Chemical Education, 75(1) (1998) 119–121..

DOI: 10.1021/ed075p119

Google Scholar

[12] Levie, D. R. Estimating parameter precision in nonlinear least squares with Excel s Solver. Journal of Chemical Education, 76 (1999) 1594–1598.

DOI: 10.1021/ed076p1594

Google Scholar