Biocatalysis and Nanotechnology pdf

Peter Grünwald 是荷兰阿姆斯特丹 CWI 机器学习小组的负责人。 他还是莱顿大学数学研究所统计学习的全职教授。 目前是计算学习协会主席，该组织运行 COLT，这是世界上机器学习理论的主要年度会议，他在 2015 年担任 COLT 的联合项目主席，并在 2010/2011 年主持了另一个顶级机器学习会议 UAI。 除了在 NIPS、COLT 和 UAI 等 ML 场所发表文章外，他还定期为统计期刊（例如 Annals of Statistics）撰稿。 他是《最小描述长度原则》一书的作者（麻省理工学院出版社，2007 年；请参阅此处了解最新 (2020 年)，更短的介绍），该书已成为 MDL 学习方法的标准参考。 2010 年，他与他人共同获得了 Van Dantzig 奖，这是荷兰统计和运筹学领域的最高奖项。 他获得了 NWO VIDI (2005)、VICI (2010) 和 TOP-1 (2016) 的资助。

Biocatalysis and Nanotechnology pdf 彼得·格伦瓦尔德

Nanobiocatalysis has rapidly developed into a subarea of enzyme biotechnology. It combines the advances in nanotechnology that have generated nanoscale materials of different sizes, shapes, and physicochemical properties, and the excellent characteristics of biocatalysts into an innovative technology.

This book provides an overview of the various relations between nanotechnology and biocatalysis. It discusses the fabrication and application of nanomaterials for the immobilization of enzymes used in the sustainable production of goods and chemicals.

Nanosupports have several advantages compared with bulk solid materials because of their high surface area, which results in a significantly reduced mass transfer limitation and comparatively high enzyme loading. These characteristics are also of great use for applications in the fields of enzymatic biosensors, biofuel cells, bioelectronics, and photoelectrochemical analyte detection, where conductive nanomaterials improve the rate of electron transfer.

The book also presents an overview of nanotoxicology and covers nanostructured enzyme catalysis in organic solvents and its potential application for biodiesel production, probing of enzymatic activity, and identification of enzyme functions of inorganic nanoparticles as enzyme mimics.