Reaction Kinetics, Mechanisms and Catalysis ( IF 1.7 ) Pub Date : 2021-08-24 , DOI: 10.1007/s11144-021-02057-x Mesut Bekirogullari 1 , Tulin Avci Hansu 1 , Serdar Abut 2 , Fatih Duman 3
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Abstract
In the current study, lake sediment, a heterogeneous and complex organic matter, utilized as a catalyst upon acid treatment for efficient hydrogen generation from sodium borohydride. In order to synthesise the catalyst that bears the best catalytic activity, ANOVA, cubic stepwise linear regression and artificial neural network optimization techniques were applied to determine the optimal level of treatment parameters. The results suggest that only Taguchi orthogonal arrays method was able to accurately reflect the overall surface of objective variable. Among the 16 catalyst samples Exp(15) showed the superior catalytic activity followed by Exp(13), Exp(12), Exp(14) and Exp(7). The minimum reaction completion time for Exp(15) corresponding to maximum hydrogen production rate of 3247.15 mL/min/gcat was 2.25 min. A detailed characterization of the final product was carried out by using a Fourier transform infrared spectra (FTIR—Perkin Elmer), an X-ray diffractometer (Bruker D8 Advance XRD), a scanning electron microscopy and energy dispersive X-ray spectroscopy.
Graphic abstract
中文翻译：
基于湖底沉积物的硼氢化钠甲醇分解制氢催化剂：人工神经网络建模的优化研究
摘要
在目前的研究中，湖泊沉积物是一种多相复杂的有机物质，被用作酸处理催化剂，以从硼氢化钠中有效地产生氢气。为了合成具有最佳催化活性的催化剂，应用方差分析、三次逐步线性回归和人工神经网络优化技术来确定处理参数的最佳水平。结果表明，只有田口正交阵列法才能准确反映目标变量的整体面。在 16 种催化剂样品中，Exp(15) 显示出优异的催化活性，其次是 Exp(13)、Exp(12)、Exp(14) 和 Exp(7)。对应于 3247.15 mL/min/gcat 的最大氢气生产速率的 Exp(15) 的最短反应完成时间为 2.25 分钟。
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