基于热重法的斯里兰卡水稻秸秆纤维素产量预测分析新方法

A. Samarasekara, M. Nanayakkara, W. Pabasara, D. Amarasinghe, L. Karunanayake
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引用次数: 22

摘要

水稻秸秆是斯里兰卡水稻种植的最大残留物,尚未得到有效的增值。但是,稻草可以转化为高价值的产品,因为它含有大量的纤维素。因此,鉴定能提供足够纤维素产量的水稻秸秆品种在许多方面都是有益的。本研究的重点是介绍一种新的、易于使用的基于热重分析的方法来预测斯里兰卡最丰富的传统(Suwandel, Raththal)和技术改良(BG300, BG352)稻草品种的纤维素产量。通过与已建立的三步湿化学法的收率进行比较,验证了上述方法的有效性。所提出的方法具有较高的准确性,对所有四个品种的百分比变化均小于5%。以苏旺德尔品种秸秆纤维素产量最高。本研究揭示了斯里兰卡农业废弃物潜在的有效增值过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Thermogravimetry Based Analytical Method for Cellulose Yield Prediction of Sri Lankan Rice Straw Varieties
Rice straw is the largest residue of Sri Lankan paddy cultivation which has not yet subjected to an effective value addition. But, rice straw can be converted to a high value product as it contains significant amount of Cellulose. Therefore, it is beneficial in many aspects to identify rice straw varieties which provide a sufficient cellulose yield. This research work focuses on introducing a novel, easy to use method based on Thermogravimetric Analysis to predict cellulose yield from most abundant traditional (Suwandel, Raththal) and technically modified (BG300, BG352) rice straw varieties in Sri Lanka. The above method was validated by comparing the results with the yields from established three-step wet chemical method. Proposed method showed a high level of accuracy as percentage variations were less than 5% for all four varieties. Highest cellulose yield was obtained from the rice straws of Suwandel variety. This study reveals a potentially effective course of value addition for Sri Lankan agricultural waste.
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