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从水稻秸秆中去除木质素和硅,以提高全纤维素的可及性,用于生产高附加值化学品。

Removal of lignin and silica from rice straw for enhanced accessibility of holocellulose for the production of high-value chemicals.

机构信息

Laboratory of Bioproduct Chemistry, Center of Innovative and Applied Bioprocessing (CIAB), Sector 81 (Knowledge City), Mohali 140306, Punjab, India.

State Key Laboratory Breeding Base of Green Pesticide & Agricultural Bioengineering, Key Laboratory of Green Pesticide & Agricultural Bioengineering, Ministry of Education, State Local Joint Laboratory for Comprehensive Utilization of Biomass, Center for R&D of Fine Chemicals, Guizhou University, Guiyang, Guizhou 550025, China.

出版信息

Bioresour Technol. 2022 Oct;361:127661. doi: 10.1016/j.biortech.2022.127661. Epub 2022 Jul 21.

Abstract

The intricate nature and rigidity of rice straw, particularly the presence of lignin and silica, hinders the catalytic valorization, consequently decreasing the yield of target products. This study reports the concurrent removal of lignin and silica from rice straw to obtain enriched holocellulose, then transforming it to furfural (FUR) and levulinic acid (LA). Interestingly, rice straw in the form of powder displays an improved removal of lignin (51.0%) and silica (92.0%) during ammonia treatment. Encouragingly, adding organic solvents, such as THF, to the aqueous system during the pretreatment of rice straw improves the lignin removal to 60.0%. Upon improving lignin removal to 60%, the obtained holocellulose enriched solid residue yields 71.0% FUR along with 52.0% LA, which is 8 and 4-fold higher than what is obtained with parent rice straw, signifying the importance and the prerequisite of lignin and silica removal from rice straw.

摘要

稻草结构复杂且质地坚硬,尤其是其中存在的木质素和二氧化硅,这阻碍了其催化转化,从而降低了目标产物的产率。本研究报道了同时去除稻草中的木质素和二氧化硅以获得富含综纤维素的方法,然后将其转化为糠醛(FUR)和乙酰丙酸(LA)。有趣的是,在氨处理过程中,稻草粉末的形态可提高木质素(51.0%)和二氧化硅(92.0%)的去除率。令人鼓舞的是,在稻草的预处理过程中向水相体系中添加有机溶剂,如 THF,可将木质素去除率提高至 60.0%。当木质素去除率提高至 60%时,所得到的富含综纤维素的固体残渣可产生 71.0%的 FUR 和 52.0%的 LA,分别比原始稻草提高了 8 倍和 4 倍,这表明去除木质素和二氧化硅对于从稻草中提取综纤维素非常重要,是必要前提。

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