Enhancing CO₂ Conversion with DRIFTS-Guided Catalyst Design

Photocatalytic conversion of CO₂ into useful products can help reduce greenhouse gas levels and dependence on fossil fuels, but current methods face challenges due to low catalyst efficiency and poor product selectivity. Understanding surface-level reaction mechanisms is key to improving photocatalysts. Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) allows real-time monitoring of reaction intermediates on catalyst surfaces, offering critical insights for catalyst design. Spectroscopy spoke to Shreya Singh of Cornell University, author of a recent article (1) dealing with using DRIFTS for the photocatalytic conversion of CO₂.

What makes photocatalytic CO₂ conversion a promising strategy for reducing atmospheric CO₂ and fossil fuel dependency?

Photocatalytic CO₂ conversion utilizes free and sustainable solar energy to reduce atmospheric CO₂ levels and simultaneously produce high-value fuel products. It offers a simpler process with fewer chemicals compared to conventional CO₂ utilization approaches and contributes to both carbon mitigation and renewable fuel production.

Why is product selectivity a major challenge in scaling up photocatalytic CO₂ conversion technologies?

Scaling up is hindered by two selectivity issues: (a) competition between the hydrogen evolution reaction (HER) and CO₂ reduction reaction (CO₂RR), where excessive HER reduces CO₂ utilization and product value; and (b) distribution among multiple CO₂RR products, which increases downstream separation costs. Achieving high CO₂RR selectivity toward a single, valuable product is critical for economic feasibility.

Can you explain the significance of understanding surface-level reaction mechanisms in catalyst development?

Product selectivity depends on the thermodynamics and kinetics of competing surface reaction pathways. Understanding these mechanisms enables rational modifications, through catalyst design or operating conditions, to favor desired products. Without this critical information, optimization remains largely trial-and-error.

How does diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) differ from conventional infrared (IR) spectroscopy techniques?

Unlike conventional IR, DRIFTS detects IR light scattered and reflected from rough catalyst surfaces, providing information specific to surface-adsorbed species. It is suited for non-transparent, powdered catalysts under in situ conditions such as elevated temperature, reactive atmospheres, and operando studies.

What kind of information can DRIFTS provide about surface-adsorbed species during photocatalytic reactions?

DRIFTS can detect short-lived intermediates and their characteristic vibrational modes, determine the binding mode (for example, HCOO* vs *COOH), estimate relative concentrations, and monitor their evolution over time to reveal the dynamics of reaction pathways under operando conditions.

What advantages does DRIFTS offer for studying time-resolved catalytic reactions at sub-micromolar concentrations?

DRIFTS is highly surface-sensitive, suitable for powdered photocatalysts without extensive preparation. Its capability to confine the optical path to the near-surface region enhances detection of low-concentration adsorbates. Additionally, its fast spectral acquisition enables kinetic studies under controlled atmospheres, temperature, and flow conditions.

What are the limitations or challenges in using DRIFTS for studying photocatalytic systems?

DRIFTS provides poor signals for liquid-phase photocatalytic reactions due to low IR scattering by liquids. Inhomogeneous light irradiation of the catalyst bed and difficulties in obtaining quantitative measurements also pose challenges.

Why was TiO₂ chosen as the base photocatalyst, and what are its primary shortcomings in CO₂ reduction?

TiO₂ is abundant, stable, and well-studied, with established manufacturability and reliability as a photocatalyst. However, it shows poor CO₂RR selectivity, favoring HER, and among CO₂RR products it predominantly yields CO and CH₄ with minimal methanol. Its high bandgap (~3.2 eV) also limits visible light utilization.

How did incorporating metals like gold, silver, and copper into TiO₂ affect the product selectivity of CO₂ conversion?

Metal dopants like Ag, Au, and Cu alter the electronic structure of TiO₂, improving light absorption and photogenerated electron-hole separation. They also modulate the adsorption and stabilization of intermediates, influencing reaction pathways and shifting selectivity toward more reduced products.

Based on DRIFTS results, what role does copper play in enhancing methanol formation from CO₂?

Copper promotes stabilization of CO intermediates, facilitating their further hydrogenation to methanol. Also, copper-stabilized oxygen species (Cu-O*) may participate in reactions favoring methanol production, as evidenced by DRIFTS spectra.

Can you discuss how intermediate molecule retention (like CO) on the catalyst surface influences the reaction pathway and end products?

If CO is weakly adsorbed, it desorbs readily, limiting further reduction. Stronger CO stabilization enables further hydrogenation to products like CH₄ or CH₃OH. Thus, tuning CO retention is key to directing the reaction pathway.

What are the potential industrial applications of methanol produced via photocatalytic CO₂ conversion?

Methanol can be used as a renewable fuel or fuel additive, minimizing fossil fuels, and as a feedstock for formaldehyde, acetic acid, and polymers such as polyoxymethylene (POM) and polymethyl methacrylate (PMMA).

How can insights from DRIFTS studies guide the search for new, more effective catalyst materials beyond copper?

By identifying the stabilization or destabilization of key intermediates like CO, DRIFTS provides experimental descriptors that can guide DFT-based high-throughput computational screening of new dopants, defect engineering strategies, and composite materials with potential for improved selectivity.

How important is coupling spectroscopic data with theoretical modeling or density functional theory (DFT) calculations in improving catalyst design?

Coupling experimental DRIFTS data with DFT calculations of hypothesized reaction pathways provides a comprehensive understanding of reaction mechanisms. It allows identification of key intermediates, transition states, and the associated thermodynamic and kinetic parameters, enabling more rational and targeted catalyst design.

In your view, what are the critical next steps to make photocatalytic CO₂ conversion commercially viable?

Current lab-scale reactors, which rely on artificial light sources and powdered catalysts, are not directly scalable for industrial application. New reactor designs that maximize sunlight exposure and utilize immobilized thin-film catalysts are essential to improve efficiency and simplify product separation. These advancements should be complemented by rational catalyst engineering to enhance activity and selectivity. Additionally, deployment should focus on high CO₂-emitting industries, integrating suitable CO₂ capture strategies tailored to the specific flue gas composition.

Reference

1. Singh, S. Monitoring CO₂ Conversion Intermediates Using in situ Infrared Spectroscopy. Nat. Rev. Clean Technol. 2025. DOI: 10.1038/s44359-025-00085-7