Novel Thermogravimetry Based Analytical Method for Cellulose Yield Prediction of Sri Lankan Rice Straw Varieties

Abstract

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 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 chemical extraction process. 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.