R. Ranjitham,
A. Ajitha,
S. Ravichandran,
- Professor, Department of Chemistry, Tagore Institute of Engineering and Technology, Deviyakurichi, Salem, Tamil Nadu, India
- Assistant Profssor, Department of Physics, Tagore Institute of Engineering and Technology, Deviyakurichi, Salem, Tamil Nadu, India
- Professor, Department of Chemistry, Tagore Institute of Engineering and Technology, Deviyakurichi, Salem, Tamil Nadu, India
Abstract
The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, and enzymatic catalysts. Simultaneously, process intensification strategies, including hydro processing, methanol-to-olefins technologies, biomass valorization, and CO₂ utilization processes, have improved industrial sustainability metrics. Biocatalytic systems based on enzyme immobilization, nano biocatalysts, and multi-enzymatic cascades provide environmentally benign alternatives for selective chemical synthesis. This review discusses recent developments in computational catalyst design, industrial catalytic process technologies, and advanced biotransformation, highlighting opportunities for integration across disciplines. Future directions include hybrid chemo-enzymatic systems, AI-guided catalyst discovery, digital twins, and circular carbon technologies for net-zero chemical manufacturing.
Keywords: Computational catalysis, DFT, Machine learning, Hydro processing, CO₂ utilization, Biomass conversion, Biocatalysis, Process intensification, Sustainable chemistry
[This article belongs to Journal of Catalyst & Catalysis ]
References
- Bruix A, Margraf JT, Andersen M, Reuter K. First-principles-based multiscale modelling of heterogeneous catalysis. Nat Catal. 2019;2(8):659-670.
- Jerng SE, Park YJ, Li J. Machine learning for CO₂ capture and conversion: a review. Energy AI. 2024;16:100361.
- Quesne MG, Silveri F, de Leeuw NH, Catlow CRA. Advances in sustainable catalysis: a computational perspective. Front Chem. 2019;7:182.
- Benítez-Mateos AI, Padrosa DR, Paradisi F. Multistep enzyme cascades as a route towards green and sustainable pharmaceutical syntheses. Nat Chem. 2022;14(5):489-499.
- Liu B, Lin B, Su H, Sheng X. Quantum chemical studies of the reaction mechanisms of enzymatic CO₂ conversion. Phys Chem Chem Phys. 2024;26(40):26677-26692.
- Tang H, Qiu T, Wang X, Zhang C, Zhang Z. Theoretical advances in Fe-based catalysts for CO₂ hydrogenation. Molecules. 2024;29(5):1194.
- Vanhoof JR, Spittaels S, De Vos D. Electrochemical valorization and incorporation of CO₂ in industrially relevant compounds. EES Catal. 2024;2(6):753-779.
- Cai J, Wei L, Wang J, et al. Application of catalysts in the conversion of biomass and its derivatives. Catalysts. 2024;14(7):499.
- Burek BO, Dawood AWH, Hollmann F, Liese A, Holtmann D. Process intensification as game changer in enzyme catalysis. Front Catal. 2022;2:858706.
- Vernet Armengol G, Hobisch M, Kara S. Process intensification in oxidative biocatalysis. Curr Opin Green Sustain Chem. 2022;38:100692.
- Cao Y, Qiao W, Zhang C, et al. Programmable enzyme catalysis based on multiscale confinements. Nat Synth. 2025;4(11):1338-1348.
- Kumar B. Electrochemical CO₂ conversion commercialization pathways. Environ Sci Technol Lett. 2024;11(12):1161-1174.

Journal of Catalyst & Catalysis
| Volume | 13 | |
| Issue | 02 | |
| Received | 12/06/2026 | |
| Accepted | 16/06/2026 | |
| Published | 30/06/2026 | |
| Publication Time | 18 Days |