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Controlling the Course of a Two‐Way Switchable Pd‐Catalyzed Process by means of Empirical Multivariate Models
Author(s) -
Sandtorv Alexander H.,
Bjørsvik HansRené
Publication year - 2015
Publication title -
chemcatchem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.497
H-Index - 106
eISSN - 1867-3899
pISSN - 1867-3880
DOI - 10.1002/cctc.201500234
Subject(s) - multivariate statistics , catalysis , ligand (biochemistry) , process (computing) , chemistry , combinatorial chemistry , computer science , biological system , multivariate analysis , biochemical engineering , engineering , organic chemistry , machine learning , programming language , biochemistry , biology , receptor
Abstract A two‐way switchable Pd‐catalyzed process that can pursue two different mechanisms, namely hydro‐ and methoxy‐deiodination was discovered, developed, and optimized by means of statistical experimental design, multivariate modelling, and response surface methodology. The investigation revealed that the two‐way switchable process might be controlled either by ligand alone, or by ligand and other process variables in combination. The present study represents the first example of a catalytic system that provides either hydro‐ or methoxy‐deiodination selectively by simply fine‐tuning the experimental variables.