journal article·2021-06-24

Nanoparticle Formation Kinetics, Mechanisms, and Accurate Rate Constants: Examination of a Second-Generation Ir(0)n Particle Formation System by Five Monitoring Methods Plus Initial Mechanism-Enabled Population Balance Modeling

Christopher B. Whitehead, Derek R. Handwerk, Patrick D. Shipman, Yuanyuan Li, Anatoly I. Frenkel, Bridget Ingham, Nigel M. Kirby, Richard G. Finke

The Journal of Physical Chemistry C· Volume 125· Issue 24
Publisher page

Abstract

The kinetics and mechanism of a second-generation iridium, bimetallic {[(1,5-COD)Ir I ·HPO4] 2 } 2– nanoparticle precursor system that produces Ir(0) ∼150 ·(HPO 4 ) x nanoparticles are investigated herein. Specifically, a list of seven open questions is addressed via a total of five experimental techniques used to monitor the kinetics of the {[(1,5-COD)Ir I ·HPO4] 2 } 2– system plus mechanism-enabled population balance modeling (ME-PBM), hence six total methods. To start, an indirect but in-house cyclohexene catalytic reporter reaction monitoring method is used to follow the formation of the catalytically active Ir(0) n . Next, gas–liquid chromatography is used to quantify the amount of cyclooctane product formed versus time as a second way to monitor the loss of the {[(1,5-COD)Ir I ·HPO4] 2 } 2– precatalyst. Synchrotron X-ray absorption near-edge structure is used next to more directly monitor the reduction of Ir I to Ir 0, and small-angle X-ray scattering is employed in separate experiments at a second synchrotron to monitor the formation of Ir(0) n versus time. Transmission electron microscopy (TEM) on reaction aliquots is used to determine the particle size distribution (PSD) versus time. The experimental kinetics data are then fit and analyzed to start using a minimal, two-step mechanism of nucleation, A → B (rate constant k 1 ), and autocatalytic growth, A + B → 2B (rate constant k 2 ). How well the rate constants agree between the various methods is addressed as is the overall estimated accuracy of the kinetics in light of the multiple methods employed to monitor the particle formation kinetics. ME-PBM is then used to analyze the TEM PSD data versus time, specifically to answer the question of whether or not the minimum mechanism consistent with all the kinetic data from the five physical methods can explain the observed PSD? An important finding is that it cannot. The Discussion section returns to the seven primary questions posed in the Introduction and includes 16 recommendations for future studies. A Conclusions section is also provided in this final experimental study from our group of prototype Ir(0) n nanoparticle formation kinetics and mechanisms.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanomaterials for catalytic reactions · Catalytic Processes in Materials Science · Electrocatalysts for Energy Conversion

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States

Department of Mathematics, Colorado State University, Fort Collins, Colorado 80523, United States

Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States

Division of Chemistry, Brookhaven National Laboratory, Upton, New York 11973, United States

Callaghan Innovation, P.O. Box 31310, Lower Hutt 5040, New Zealand

Australian Synchrotron, 800 Blackburn Road, Clayton 3168, Australia

Funding

Department of Energy, Labor and Economic Growth

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