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

机译:响应面法优化棉屑微纤化纤维素提取工艺

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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.
机译:与木材相比,棉花是一种主要由纤维素组成的天然短纤维。棉花的主要经济价值在于纺织业。在过去几年中,棉花消费需求的增长远远超过了产量。在纺织制造业中,棉花与其他各种合成纤维(如聚酯、尼龙和莱卡)混合,以获得所需的性能。虽然可以使用织物回收方法处理消费前的服装废弃物,但实际操作过程相当复杂。本文采用酸水解法将棉织物废料中提取的微晶纤维素(MCC)转化为微纤维纤维素(MFC)。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的产量和质量影响最大。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,并使用ANOVA统计测试结果确定所列参数对酸水解的显著影响。

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