Proceedings of MATSUS Fall 2023 Conference (MATSUSFall23)
DOI: https://doi.org/10.29363/nanoge.matsus.2023.139
Publication date: 18th July 2023
The CO2 reduction reaction (CO2RR) has shown promise for producing C1-based feedstocks, including formic acid, CO, and syngas, under ambient conditions. A great challenge in this effort is to achieve control over the reaction path in order to define the product selectivity. In this work, we exploit the well-defined atomic structure and tunable coordination environment of Bi-based single atom catalysts (SACs)[1] embedded in carbon-nitrogen frameworks to show that the coordination environment of a single metallic species can be used to tune product selectivity. Bi is well-known to be an efficient CO2RR catalyst to produce formic acid,[2, 3] but has also recently been reported for CO generation.[4] While it has been hypothesised that this differing CO2RR product selectivity may arise from different Bi coordination environments, these different products stem from dissimilar catalytic systems. Here, we aim to test this hypothesis on the same catalyst system to exclude other influences on selectivity.
Using Bi SACs within a carbon-nitrogen framework, we find that the CO2RR selectivity can be tuned towards formic acid or syngas production by choosing tailored annealing treatments. Bi SACs anchored on commercially available carbon black were synthesized via a solution-based chemical method followed by inert atmosphere annealing. The single-atomic nature of Bi is confirmed by both scanning transmission electron microscopy and X-ray absorption spectroscopy. Low-temperature (300 °C) annealing of these samples results in oxygen-coordinated Bi SACs and promotes formic acid generation, while high-temperature annealing (800 °C) favours formation of nitrogen-coordinated Bi SACs and syngas production. Since the versatility of a single CO2RR catalyst system for producing two different major products has rarely been reported, our work opens up a new direction of tuning the CO2RR C1 product selectivity using SACs.