Naz Sadia, Uroos Maliha, Asim Azmat Mehmood, Muhammad Nawshad, Shah Faiz Ullah
Institute of Chemistry, University of the Punjab, Lahore, Pakistan.
Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University Islamabad, Lahore, Pakistan.
Front Chem. 2020 Apr 15;8:236. doi: 10.3389/fchem.2020.00236. eCollection 2020.
Constantly decreasing fossil resources and exceeding energy demands are the most alarming concerns nowadays. The only way out is to develop efficient, safe, and economical biomass processing protocols that can lead toward biofuels and fine chemicals. This research is one of such consequences involving the deconstruction and conversion of wheat straw carbohydrate constituents into reducing sugars via one-pot reaction promoted by Lewis acidic pyridinium-based ionic liquids (PyILs) mixed with different metal salts (MCl). Various parameters such as the type of metal salt, loading amount of metal salt, time, temperature, particle size of biomass, and water content which affect the deconstruction of wheat straw have been evaluated and optimized. Among the studied ionic liquid (IL) and metal salt systems, the best results were obtained with [BMPy] . The dinitrosalicylic acid (DNS) assay was used to determine the percentage of total reducing sugars (TRS) generated during treatment of wheat straw. The deconstructed wheat straw was characterized with various analytical tools, that is, Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and X-ray powder diffraction (XRD) analyses. The IL-metal salt system was recycled for subsequent treatment of wheat straw. Statistical parameters were calculated from analysis of variance (ANOVA) at the 0.05 level of confidence.
不断减少的化石资源和不断增长的能源需求是当今最令人担忧的问题。唯一的出路是开发高效、安全且经济的生物质加工方案,以生产生物燃料和精细化学品。本研究就是这样的成果之一,涉及通过由与不同金属盐(MCl)混合的路易斯酸性吡啶基离子液体(PyILs)促进的一锅法反应,将小麦秸秆碳水化合物成分解构并转化为还原糖。已经评估并优化了各种影响小麦秸秆解构的参数,如金属盐的类型、金属盐的负载量、时间、温度、生物质的粒径和含水量。在所研究的离子液体(IL)和金属盐体系中,使用[BMPy] 获得了最佳结果。采用二硝基水杨酸(DNS)法测定小麦秸秆处理过程中产生的总还原糖(TRS)百分比。用各种分析工具对解构后的小麦秸秆进行了表征,即傅里叶变换红外(FTIR)光谱、扫描电子显微镜(SEM)和X射线粉末衍射(XRD)分析。离子液体 - 金属盐体系被循环用于后续的小麦秸秆处理。统计参数是根据置信水平为0.05的方差分析(ANOVA)计算得出的。