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Kinetics of organosolv delignification of fibre crop Arundo donax L
Institution:1. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, PR China;2. CAS Key Laboratory of Renewable Energy, Guangzhou 510640, PR China;3. Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, PR China;4. University of Chinese Academy of Sciences, Beijing 100049, PR China;1. Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University, Seoul 151-742, South Korea;2. Department of Forest Biomaterials, North Carolina State University, Raleigh, NC, 27695, USA;3. Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 151-742, South Korea;1. CEB-Centre of Biological Engineering, University of Minho, Campus Gualtar, Braga, Portugal;2. Chemical Engineering Department, EEI, University of Vigo, Campus Vigo, Vigo, Spain;3. Chemical Engineering Department, Faculty of Science, University of Vigo, Campus Ourense, Ourense, Spain;4. CITI-Tecnopole, San Ciprián de Viñas, Ourense, Spain;1. Wallenberg Wood Science Center, School of Chemical Science and Engineering, Royal Institute of Technology, KTH, 100 44 Stockholm, Sweden;2. MoRe Research Örnsköldsvik AB, SE-89122 Örnsköldsvik, Sweden;3. Domsjö Fabriker, SE-89186 Örnsköldsvik, Sweden;4. Department of Engineering and Chemical Science, Karlstad University, Universitetsgatan 2, 651 88 Karlstad, Sweden;5. Division of Wood Chemistry and Pulping Technology, School of Chemical Science and Engineering, Royal Institute of Technology, KTH, 100 44 Stockholm, Sweden;1. Chemical Reaction Engineering Group (CREG), School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor Bahru, Johor, Malaysia;2. Department of Applied Mechanics and Design, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor Bahru, Johor, Malaysia;3. Medical Devices and Technology Centre (MEDiTEC), Institute of Human Centered Engineering (iHumEn), Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor Bahru, Johor, Malaysia;4. Facilities Maintenance Engineering, Universiti Kuala Lumpur, Malaysian Institute of Industrial Technology (UniKL MITEC), 81750 Masai, Johor, Malaysia;1. State Key Laboratory Breeding Base of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China;2. Engineering Research Center of Nano-Geo Materials of Ministry of Education China University of Geosciences, Wuhan 430074, China
Abstract:Kinetics of ethanol–alkali delignification of fibre crop Arundo donax L. (giant reed) has been studied. The improved approach for determination of the reaction rate constants by accurate quantification of lignin fractions with different reactivity during standard procedure of graphical differentiation was applied. Following to a simplified model, the delignification process was considered as a complex of n-parallel irreversible first-order reactions with similar final product and analysed as a multi-component reaction system. Three kinetically distinguishable lignin fractions of A. donax were revealed and quantified in proportion of approximately 61, 23 and 16% (as initial, bulk and residual lignin, respectively) and their effective degradation rate constants were determined for different pulping conditions. The proportion of lignin fractions was different from that reported for wood, but close to another crop—wheat straw, where the initial lignin fraction was also found as a major fraction (about 90%). The values of apparent activation energy were estimated respectively as 64, 89 and 96 kJ mol−1, and were generally within the range of those reported for wood kraft and organosolv pulping. The simulation of ethanol–alkali delignification using found kinetic parameters showed the high reproducibility of experimental data on lignin removal, providing thereby the adequate test on validation of the suggested kinetic approach. The data reproducibility was substantially higher in comparison with conventional consecutive kinetic model (sum of square residuals (SQR) 0.0036 versus 0.0856).
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