Optimal preparation of natural polymer bone glue adhesive material modified by Al3+ coordination using response surface

doi:10.16085/j.issn.1000-6613.2015.12.026

Chemical Industry and Engineering Progree ›› 2015, Vol. 34 ›› Issue (12): 4295-4300.DOI: 10.16085/j.issn.1000-6613.2015.12.026

• Material science and technology • Previous Articles Next Articles

Optimal preparation of natural polymer bone glue adhesive material modified by Al³⁺ coordination using response surface

BU Haiyan, SU Xiuxia, GUO Mingyuan, CUI Ming

Key Laboratory of Auxiliary Chemistry & Technology for Chemical Industry, Ministry of Education, Shaanxi University of Science & Technology, Xi'an 710021, Shaanxi, China

Received:2015-05-21 Revised:2015-08-12 Online:2015-12-05 Published:2015-12-05

响应面优化Al³⁺配位改性天然高分子骨胶黏合材料的制备

卜海艳, 苏秀霞, 郭明媛, 崔明

陕西科技大学教育部轻化工助剂化学与技术重点实验室, 陕西西安 710021

通讯作者: 苏秀霞,教授,硕士生导师,研究方向为天然高分子改性。E-mailsuxiuxia@sust.edu.cn。
作者简介:卜海艳(1989—),女,硕士研究生,研究方向为新型轻化工助剂的制备及应用。
基金资助:
陕西省科技厅工业科技攻关项目(2014K10-20)。

Abstract

Abstract: Natural polymer bone glue adhesive material was modified by Al³⁺ coordination. The reaction conditions,i.e,the amount of carbamide,the amount of sodium dodecyl sulfate,coordination temperature on freezing point and viscosity of natural polymer bone glue adhesive material,were optimized using the response surface method. According to the principle of Box-Behnken,experiments were designed and analyzed using the Desig-Expert (V8.0.6.1) software. Freezing point and viscosity were taken as the responses to analyze the significance and interactions of various factors. The optimal synthesis conditions were carbamide of 0.78g,SDS of 0.5g and coordination temperature of 60.56℃. The predicted value for response were freezing point of 4.2℃,viscosity of 4.575Pa·s.

Key words: natural polymer bone glue, adhesive material, response surface, viscosity, coordination, preparation, optimization

摘要： 采用Al³⁺配位改性天然高分子骨胶黏合材料,应用响应面优化法优化尿素用量、十二烷基硫酸钠(SDS)用量和配位反应温度3个因素对天然高分子骨胶黏合材料黏度和凝固点的影响。根据Box-Behnken实验设计原理,使用Design-Expert (V8.0.6.1)软件对实验进行设计与分析,以黏度和凝固点为响应量,建立响应量的回归模型,分析各因素的显著性与交互作用。结果表明最佳工艺条件为:m_尿素= 0.78g,m_SDS =0.5g,T_配位=60.56℃;响应量预测值为:凝固点4.2℃,黏度4.575Pa·s。

关键词: 天然高分子骨胶, 黏合材料, 响应面, 黏度, 配位, 制备, 优化

CLC Number:

O636.9

BU Haiyan, SU Xiuxia, GUO Mingyuan, CUI Ming. Optimal preparation of natural polymer bone glue adhesive material modified by Al³⁺ coordination using response surface[J]. Chemical Industry and Engineering Progree, 2015, 34(12): 4295-4300.

卜海艳, 苏秀霞, 郭明媛, 崔明. 响应面优化Al³⁺配位改性天然高分子骨胶黏合材料的制备[J]. 化工进展, 2015, 34(12): 4295-4300.

References

[1] 王晶,赵大生,孙秀英. 我国环保胶黏剂的现状及发展趋势[J]. 化学与黏合,2009,31(2):51-70.
[2] 顾继友. 我国木材工业用胶黏剂与胶接技术现状和展望[J]. 木材工业,2006,20(2):66-68.
[3] 雷洪,杜官本. 生物质木材胶黏剂的研究进展[J]. 林业科技开发,2012,26(3):7-11.
[4] 陆林森. 木材胶黏剂现状与发展趋势[J]. 家具,2013,34(4):11-25.
[5] 吴本刚,马海乐,何荣海,等. 生物质胶黏剂的研究进展[J]. 林产工业,2011,38(4):8-28.
[6] 燕来荣. 环保型胶黏剂优势凸显[J]. 乙醛醋酸化工,2013(10):30-34.
[7] 郭明媛,苏秀霞,周丽,等. Al³⁺/Zn²⁺/Cu²⁺对骨胶性能的影响[J]. 中国胶粘剂,2014,23(4):21-24.
[8] 刘军霞,姚庆鑫,杨金,等. 多指标正交实验优化可发性三聚氰胺甲醛树脂的制备[J]. 化工进展,2015,34(2):474-478.
[9] 蒋绍阶,冯欣蕊,李晓恩,等. 相应面法优化制备PAC-PDMDAC杂化絮凝剂及其表征[J]. 化工学报,2014,65(2):731-736.
[10] 肖武,李明月,阮雪华,等. 响应面法优化-水疏酸氢纳流化催化精馏生产乙酸乙酯工艺条件[J]. 化工学报,2014,65(11):4465-4471.
[11] 杨倩丽,康晓明,孙静,等. 刺激响应性聚合物的设计、合成及其应用研究新进展[J]. 化工进展,2015,34(8):3075-3084.
[12] 朱雷,李仲谨,宋凉,等. 响应面法优化改性骨胶的合成工艺[J]. 中国皮革,2008,37(7):35-39.
[13] 范伟伟,范晓东,廖小卿,等. 均匀设计法研究聚四氢呋喃的阳离子开环聚合制备工艺[J]. 化工进展,2015,34(2):470-489.
[14] 王晓玲,李仲谨,余丽丽,等. 改性骨胶合成工艺的效应面优化分析[J]. 包装科学与工程,2007,28(12):1-4.
[15] 李仲谨,李晓钡,朱敏,等. 骨胶与表氯醇接枝共聚物的合成及应用性能[J]. 包装工程,2006,27(1):18-20.
[16] 曾念,谢建军,丁出,等. PVAc乳胶/改性大豆分离蛋白共混胶黏剂的制备及性能[J]. 化工进展,2014,33(12):3368-3373.
[17] 林意华,李明春,辛梅华,等. O-季铵化-N-(4-十二烷氧基)壳聚糖苯甲醇席夫碱的制备及胶束pH响应性[J]. 化工进展,2015,34(2):484-489.
[18] 孟金英,李惟毅,梁慧琴,等. 微燃机冷热电三联供系统运行策略优化分析[J]. 化工进展,2015,34(3):638-646.
[19] 李学坤,李稳宏,潘柳依,等. 咪唑啉缓蚀剂合成工艺优化及吸附性能[J]. 化工进展,2015,34(4):1126-1132.
[20] 于捍江,张林雅. 黏胶短纤维酸浴调配系统的节能优化设计[J]. 化工进展,2015,34(5):1483-1487.

Optimal preparation of natural polymer bone glue adhesive material modified by Al³⁺ coordination using response surface

响应面优化Al³⁺配位改性天然高分子骨胶黏合材料的制备

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	LI Mengyuan, GUO Fan, LI Qunsheng. Simulation and optimization of the third and fourth distillation columns in the recovery section of polyvinyl alcohol production [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 113-123.
[2]	ZHANG Ruijie, LIU Zhilin, WANG Junwen, ZHANG Wei, HAN Deqiu, LI Ting, ZOU Xiong. On-line dynamic simulation and optimization of water-cooled cascade refrigeration system [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 124-132.
[3]	WANG Fu'an. Consumption and emission reduction of the reactor of 300kt/a propylene oxide process [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 213-218.
[4]	WANG Zhengkun, LI Sifang. Green synthesis of gemini surfactant decyne diol [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 400-410.
[5]	LIU Yang, WANG Yungang, XIU Haoran, ZOU Li, BAI Yanyuan. Optimal carbonization process of walnut shell based on dynamic analysis [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 94-103.
[6]	LI Chunli, HAN Xiaoguang, LIU Jiapeng, WANG Yatao, WANG Chenxi, WANG Honghai, PENG Sheng. Research progress of liquid distributors in packed columns [J]. Chemical Industry and Engineering Progress, 2023, 42(9): 4479-4495.
[7]	GAO Yanjing. Analysis of international research trend of single-atom catalysis technology [J]. Chemical Industry and Engineering Progress, 2023, 42(9): 4667-4676.
[8]	LI Runlei, WANG Ziyan, WANG Zhimiao, LI Fang, XUE Wei, ZHAO Xinqiang, WANG Yanji. Efficient catalytic performance of CuO-CeO₂/TiO₂ for CO oxidation at low-temperature [J]. Chemical Industry and Engineering Progress, 2023, 42(8): 4264-4274.
[9]	WU Haibo, WANG Xilun, FANG Yanxiong, JI Hongbing. Progress of the development and application of 3D printing catalyst [J]. Chemical Industry and Engineering Progress, 2023, 42(8): 3956-3964.
[10]	LI Haidong, YANG Yuankun, GUO Shushu, WANG Benjin, YUE Tingting, FU Kaibin, WANG Zhe, HE Shouqin, YAO Jun, CHEN Shu. Effect of carbonization and calcination temperature on As(Ⅲ) removal performance of plant-based Fe-C microelectrolytic materials [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3652-3663.
[11]	CHU Tiantian, LIU Runzhu, DU Gaohua, MA Jiahao, ZHANG Xiao’a, WANG Chengzhong, ZHANG Junying. Preparation and chemical degradability of organoguanidine-catalyzed dehydrogenation type RTV silicone rubbers [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3664-3673.
[12]	YU Junnan, YU Jianfeng, CHENG Yang, QI Yibo, HUA Chunjian, JIANG Yi. Performance prediction of variable-width microfluidic concentration gradient chips by deep learning [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3383-3393.
[13]	LIN Hai, WANG Yufei. Distributed wind farm layout optimization considering noise constraint [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3394-3403.
[14]	CHEN Weiyang, SONG Xin, YIN Yaran, ZHANG Xianming, ZHU Chunying, FU Taotao, MA Youguang. Effect of liquid viscosity on bubble interface in the rectangular microchannel [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3468-3477.
[15]	XIE Zhiwei, WU Zhangyong, ZHU Qichen, JIANG Jiajun, LIANG Tianxiang, LIU Zhenyang. Viscosity properties and magnetoviscous effects of Ni_0.5Zn_0.5Fe₂O₄ vegetable oil-based magnetic fluid [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3623-3633.