| 光谱学与光谱分析 |
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| Renewable Resource-Based Composites of Thermoplastic Acorn Starch and Polycaprolactone: Preparation and FTIR Spectrum Analysis |
| LI Shou-hai1, ZHUANG Xiao-wei1, 2, WANG Chun-peng1, CHU Fu-xiang1* |
1. Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, Nanjing 210042, China
2. Key Laboratory for Biological and Chemical Utilizing of Forest Resources of Zhejiang, Hangzhou 310023, China |
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Abstract Acorn starch was used as the main material. Thermoplastic acorn starch (TPAS) and binary composites of thermoplastic acorn starch(TPAS)/ Polycaprolactone (PCL) were prepared by hot-melt extrusion method. The effects of different plasticizers such as ethylene glycol, glycerol, monoethanolamine, iminobisetnanol and triethanolamine on molecular structure of samples were studied by FTIR and XRD analysis. In addition, the effects of different plasticizing system on molecular structure and mechanical properties of composites were also studied. The results showed that the addition of plasticizers changed the inter-molecular structure, and glycerol-based TPAS/PCL composites showed favorable mechanical properties.
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Received: 2010-07-26
Accepted: 2010-12-11
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Corresponding Authors:
CHU Fu-xiang
E-mail: chufuxiang@caf.ac.cn
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[1] Matzinos P, Tserki V, Kontoyiannis A, et al. Polymer Degradation and Stability, 2002, 77(1): 17.
[2] Garlotta D, Doane W, Shogren R, et al. Applied Polymer Science, 2003, 88(7): 1775.
[3] Ren Jie, FuU Hongye, Ren Tianbin, et al. Carbohydrate Polymers, 2009, 77(3): 576.
[4] Ratto J A, Stenhouse P J, Auerbach M, et al. Polymer, 1999, 40(24): 6777.
[5] Ran Xianghai, Deng Pengyang, Dong Lisong, et al. Chemical Research in Chinese Universities, 2003, 19(1): 107.
[6] Ikada Y, Tsuji H. Macromolecular Rapid Communications, 2000, 21(3): 117.
[7] Zobel H F. Starch/Strke, 1988, 40(2): 44.
[8] Avérous L, Halley P J. Biofuels, Bioproducts and Biorefining, 2009, 3(3): 329.
[9] Wang N, Yu J G, Chang P R, et al. Starch/Strke, 2007, 59(9): 409.
[10] MA Xiao-fei, YU Jiu-gao(马骁飞，于九皋). Acta Polymerica Sinica(高分子学报), 2004, (4): 483.
[11] Yu J G, Gao J, Lin T. Journal of Applied Polymer Science, 1996, 62(9): 1491.
[12] JIANG Shi-chun, JI Xiang-ling, AN Li-jia, et al(蒋世春, 姬相玲, 安立佳, 等). Acta Polymerica Sinica(高分子学报), 2000, (4): 452.
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