Extraction and Analysis of Microcrystalline Cellulose from Delignified Serte Leaf Fiber Wastes

ABSTRACT

Dracaena Steudneri Egler (Serte) is a leaf fiber, as reported by us in our previous work. During the extraction of the fiber, different chemicals are used to facilitate gum decomposition to get more exceptional and impurity-free fibers. The separated long fibers can be used for different applications based on their properties, whereas short and dust materials will be avoided as a waste. In the current study, we have used the fiber waste for the extraction of microcrystalline cellulose, which will act as a new source for the preparation of microcrystalline cellulose and simultaneously help in waste utilization. The preparation of microcrystalline cellulose from serte fiber waste by using hydrochloric acid hydrolysis had been investigated. Basic chemical pretreatments, scouring, and bleaching was given to the serte fiber waste before extraction to removed natural colorants and hydrophobic impurities like oils, waxes, minerals, fats. Characterization of this extracted microcrystalline cellulose was done using X-ray diffractometer, FTIR, thermogravimetric analyzer, and a particle size analyzer. Finally, a comparison of micro-crystalline cellulose obtained from serte fiber waste with commercial micro-crystalline was also made. The particle size of the serte fiber microcrystalline cellulose was about 30–60 μm having a crystallinity of 73.5% and better thermal stability than commercial microcrystalline cellulose.

摘要

德拉卡埃纳·斯图德内里·埃格勒（Serte）是一种叶纤维，我们之前的工作中报道过. 在提取纤维时，使用不同的化学品促进牙龈分解，以获得更特殊和无杂质的纤维. 分离的长纤维可用于不同的应用，根据其性能，而短和灰尘材料将避免作为废物. 在目前的研究中，我们利用纤维废料提取微晶纤维素，这将成为制备微晶纤维素的新来源，同时有助于废物的利用. 研究了利用盐酸水解法从硅纤维废料中制备的微晶纤维素。在提取之前，对丝纤维废料进行基本化学预处理、冲刷和漂白，以去除天然着色剂和疏水性杂质，如油、蜡、矿物质、脂肪. 这种提取的微晶纤维素的特征是使用X射线衍射仪、FTIR、热重力分析仪和颗粒大小分析仪完成的. 最后，对从硅纤维废料中获得的微晶纤维素与商用微晶体进行了比较. 硅纤维微晶纤维素的粒径约为30-60μm，结晶度为73.5%，热稳定性优于商用微晶纤维素.

KEYWORDS:

• Serte leaf fiber
• microcrystalline cellulose
• acid hydrolysis

关键词:

• 塞尔特叶纤维
• 微晶纤维素
• 酸性水解

Acknowledgments

We would like to acknowledge ETIDI, World Bank-funded TEQIP-II- CoE in Process Intensification and DST, Govt of India through the FIST for the contingency to complete this research work.

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