Process Optimization of Microfibrillated Cellulose Extraction from Cotton Waste Using Response Surface Methodology

J. Jayasinghe, A. Ratnakumar, A. Samarasekara, D. Amarasinghe
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引用次数: 4

Abstract

Cotton is a natural staple fiber that mostly consists of cellulose compared to wood. The major economic value of cotton is in textile industry. Over the recent past years the demand for cotton consumption has increased significantly than its production. In textile manufacturing, cotton is blended with various other synthetic fibers such as polyester, nylon and lycra to obtain the desired properties. Though fabric recycling methods are available for pre-consumer garment waste, the processes are quite complicated in actual practice. In this work Microcrystalline Cellulose (MCC) extracted from cotton fabric waste was converted into Microfibrillated Cellulose (MFC) using acid hydrolysis method. However, the major challenge in using acid hydrolysis method is the low amount of yield. Three experimental factors that includes; acid concentration, hydrolysis time and temperature show the highest effect in yield and quality of MFC. Therefore, this experiment was designed to optimize the effect of these three independent factors on yield (%) and width (nm) of MFC. Response surface methodology was adapted to design the experiment and ANOVA statistical test results were used to determine the significant effect of those listed parameters on acid hydrolysis.
响应面法优化废棉微纤纤维素提取工艺
棉花是一种天然的短纤维,与木材相比,主要由纤维素组成。棉花的主要经济价值是在纺织工业上。在过去的几年里,棉花的消费需求大大超过了棉花的产量。在纺织制造中,棉花与其他各种合成纤维如聚酯、尼龙和莱卡混纺以获得所需的性能。虽然对消费前的服装废弃物有织物回收的方法,但在实际操作中过程相当复杂。以棉织物为原料,采用酸水解法制备了微晶纤维素(MCC)。然而,使用酸水解法的主要挑战是产率低。三个实验因素包括;酸浓度、水解时间和温度对MFC产率和品质的影响最大。因此,本实验旨在优化这三个独立因素对MFC产率(%)和宽度(nm)的影响。采用响应面法设计实验,并采用方差分析(ANOVA)统计检验结果确定上述参数对酸水解的显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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