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MBA, Ph.D in Management
Harvard university
Feb-1997 - Aug-2003
Professor
Strayer University
Jan-2007 - Present
literature review summary of the project "Selective hydrogenation of acetylene". It's 8-12 pages double spaced with font size of 12. The reference section will single spaced. Review examples are attached.
Review
pubs.acs.org/acscatalysis Modern Trends in Catalyst and Process Design for Alkyne
Hydrogenations
Micaela Crespo-Quesada, Fernando Cárdenas-Lizana, Anne-Laure Dessimoz, and Lioubov Kiwi-Minsker*
Group of Catalytic Reaction Engineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
ABSTRACT: This review provides an overview of the recent
achievements in catalytic process development for alkyne hydrogenations. It underlines the necessity of simultaneous optimization
over different length scales from molecular/nanoscale of active
phase, up-to macro-scale of catalytic reactor design. One case
study, the hydrogenation of 2-methyl-3-butyn-2-ol, is analyzed in
detail to illustrate the practical application of this approach. Finally,
it presents the personal view of the authors concerning the new
trends and paths available in the field.
KEYWORDS: alkyne, hydrogenation, catalyst design, support effect, reactor design 1. INTRODUCTION
Sustainable processing with minimal environmental impact has
been recognized as one of the major challenges of this century.1
As a result of the severe restrictions in environmental
legislation, the chemical industry is now undergoing a
progressive redefinition. Catalytic technology, as a fundamental
tool for green chemistry, has an unprecedented enabling
potential for sustainable production. Heterogeneous catalysts
are of utmost importance in the fine chemical industry. The
typical design in these systems is based on an active phase, main
responsible for the catalytic performance (activity and
selectivity), immobilized on a suitable support. This avoids
agglomeration of the active species during chemical reaction
and enables an easy catalyst recovery. The conventional
methodology applied for catalyst optimization has been an
empirical "trial-and-error" approach which results, at best, in
slight or incremental improvements of their performance.
Moreover, it is greatly based on speculation and is, in practice,
laborious and time-consuming. With the concomitant advance
in theoretical understanding and the development of computational power, a new era of rational catalyst design (RCD) is
dawning.2 This approach is based on a multidisciplinary
combination of new advances in synthesis, characterization,
and modeling with the ultimate aim of predicting the catalyst's
behavior based on chemical composition, molecular structure,
and morphology.3
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