首页> 外文期刊>Nano science & nano technology: an Indian journal >Statistically-Guided Optimization of the Catalysis of Cellulose Hydrolysis via Sulfamic Acid Functionalized Magnetic Iron/Iron(III) Oxide Core-Shell Nanoparticles
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Statistically-Guided Optimization of the Catalysis of Cellulose Hydrolysis via Sulfamic Acid Functionalized Magnetic Iron/Iron(III) Oxide Core-Shell Nanoparticles

机译:统计指导优化的氨基磺酸功能化的磁性铁/铁(III)氧化物核壳纳米粒子的纤维素水解催化。

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Effective optimization of the degradation of cellulose into glucose, via a magnetic catalyst is achieved, for the first time, using statistically guided modification of reaction conditions. A highly efficient procedure for the large-scale synthesis of iron/iron(III) oxide (Fe/Fe3O4) magnetic nanoparticles (MNPs), functionalized with sulfamic acid, has been developed. The acid functionalized MNPs have been used successfully, as a heterogeneous catalyst in the hydrolysis of cellulose to glucose and other yeast-convertible sugars, with a cellulose conversion of 50%. Optimization of the reaction conditions for the catalytic reactions has been accomplished, via the Doehlert matrix statistical approach. The Catalyst has been recovered up to 82% of its original weight, over 20 reaction cycles, with only marginal losses of magnetic property and catalytic activity. Based on its’ robustness and efficiency, we propose that the above catalyst is an excellent candidate for the industrial production of ethanol from plant cellulose.
机译:使用统计指导的反应条件修正,首次实现了通过磁性催化剂对纤维素降解为葡萄糖的有效优化。已经开发了一种大规模合成由氨基磺酸官能化的铁/三氧化二铁(Fe / Fe3O4)磁性纳米颗粒(MNP)的高效方法。酸官能化的MNP已成功用作纤维素水解为葡萄糖和其他酵母可转化糖的非均相催化剂,纤维素转化率> 50%。通过Doehlert矩阵统计方法,已经完成了用于催化反应的反应条件的优化。在20个反应周期内,该催化剂的回收量已达到其原始重量的82%,而磁性和催化活性的损失很小。基于其坚固性和效率,我们建议上述催化剂是从植物纤维素工业生产乙醇的极佳候选者。

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