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Predictive Gold Nanocluster Formation Controlled by Metal‐Ligand Complexes
Author(s) -
Pettibone John M.,
Hudgens Jeffrey W.
Publication year - 2012
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201101777
Subject(s) - nanoclusters , ligand (biochemistry) , chemistry , cluster (spacecraft) , electrospray ionization , phosphine , metal , gold cluster , product distribution , combinatorial chemistry , mass spectrometry , organic chemistry , computational chemistry , catalysis , density functional theory , chromatography , biochemistry , receptor , computer science , programming language
Abstract The formation of ligand‐protected gold nanoclusters during size‐selective syntheses is seemingly driven by the inherent properties of the protecting ligands, but a general description of the product formation has not been presented. This study uses diphosphine‐protected Au clusters as a model system to examine i) control of metal‐ligand complex distributions in methanol–chloroform solutions, ii) role of solution perturbations, e.g., oxidation, and iii) nanocluster formation through reduction of characterized complex distributions. By selectively reducing complexes and monitoring cluster formation with electrospray ionization mass spectrometry and UV–vis, data show the distribution of complexes can be controlled through ligand exchange, and the reduction of specific complexes produce characteristic ligated gold clusters based on ligand class. Specifically, 1, n ‐bis(diphenylphosphino) n ‐alkane ligands, L n , where n = 1 through 6, are classified into two distinct sets. The classes represent ligands that either form mainly [AuL n 2 ] + (Class I, n = 1–3) or bridged [Au 2 L n 2 ] 2+ (Class II, n = 4–6) complexes after complete ligand exchange with AuClPPh 3 . Selectively reducing gold‐phosphine ligand complexes allows mapping of product formation, resulting collectively in a predictive tool for ligated gold cluster production by simply monitoring the initial complex distribution prior to reduction.

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