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从原子活性预测器看生物质加氢脱氧催化剂的创新。

Biomass hydrodeoxygenation catalysts innovation from atomistic activity predictors.

机构信息

Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Main Building, Park Place, Cardiff CF10 3AT, UK.

出版信息

Philos Trans A Math Phys Eng Sci. 2020 Jul 24;378(2176):20200056. doi: 10.1098/rsta.2020.0056. Epub 2020 Jul 6.

Abstract

Circular economy emphasizes the idea of transforming products involving economic growth and improving the ecological system to reduce the negative consequences caused by the excessive use of raw materials. This can be achieved with the use of second-generation biomass that converts industrial and agricultural wastes into bulk chemicals. The use of catalytic processes is essential to achieve a viable upgrade of biofuels from the lignocellulosic biomass. We carried out density functional theory calculations to explore the relationship between 13 transition metals (TMs) properties, as catalysts, and their affinity for hydrogen and oxygen, as key species in the valourization of biomass. The relation of these parameters will define the trends of the hydrodeoxygenation (HDO) process on biomass-derived compounds. We found the hydrogen and oxygen adsorption energies in the most stable site have a linear relation with electronic properties of these metals that will rationalize the surface's ability to bind the biomass-derived compounds and break the C-O bonds. This will accelerate the catalyst innovation for low temperature and efficient HDO processes on biomass derivates, e.g. guaiacol and anisole, among others. Among the monometallic catalysts explored, the scaling relationship pointed out that Ni has a promising balance between hydrogen and oxygen affinities according to the -band centre and -band width models. The comparison of the calculated descriptors to the adsorption strength of guaiacol on the investigated surfaces indicates that the -band properties alone are not best suited to describe the trend. Instead, we found that a linear combination of work function and -band properties gives significantly better correlation. This article is part of a discussion meeting issue 'Science to enable the circular economy'.

摘要

循环经济强调通过利用第二代生物质将工业和农业废物转化为大宗化学品,来改变涉及经济增长和改善生态系统的产品的理念,以减少原材料过度使用造成的负面影响。催化过程的使用对于实现从木质纤维素生物质到生物燃料的可行升级至关重要。我们进行了密度泛函理论计算,以探索 13 种过渡金属 (TM) 作为催化剂的性质与其对氢和氧的亲和力之间的关系,氢和氧是生物质增值的关键物质。这些参数的关系将定义生物质衍生化合物的加氢脱氧 (HDO) 过程的趋势。我们发现最稳定位置的氢和氧吸附能与这些金属的电子特性呈线性关系,这将合理化表面结合生物质衍生化合物和打破 C-O 键的能力。这将加速用于生物质衍生化合物(如愈创木酚和苯甲醚等)低温高效 HDO 过程的催化剂创新。在所研究的单金属催化剂中,比例关系指出,根据 -带中心和 -带宽度模型,Ni 在氢和氧亲和力之间具有良好的平衡。计算出的描述符与研究表面上愈创木酚吸附强度的比较表明, -带性质本身并不适合描述趋势。相反,我们发现功函数和 -带性质的线性组合给出了更好的相关性。本文是“科学促进循环经济”讨论专题的一部分。

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本文引用的文献

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