Programming Reaction-Network Bifurcations for Selective Amino Acid Electrosynthesis
Electrosynthesis of organic amino acids from inorganic nitrogen feedstocks offers a new route to expand the synthetic boundaries of biologically relevant C–N molecules. However, the desired organic C–N coupling pathway is kinetically suppressed by the competing inorganic ammonia (NH 3 ) pathway, rendering selective amino acid electrosynthesis intrinsically challenging. Here, we uncover that this bottleneck originates from the uncontrollable gatekeeping intermediate, hydroxylamine (*NH 2 OH), at the decisive branching point. To address this challenge, we develop a new programmable reaction-network bifurcation (PRNB) strategy, enabled by an atomically precise dual-site metallene, which directs the reaction bifurcation of *NH 2 OH from hydrogenation to C–N coupling. As a result, the system reverses the product selectivity, allowing the coupling product to outperform NH 3 by a factor of 28.5. This shift further achieves glycine synthesis with a high Faradaic efficiency of 83.2% and a formation rate exceeding 885 mmol/g cat /h, sustained over 225 h and enabling gram-scale synthesis. Mechanistic studies reveal that dual sites reprogram the relative bonding preference of *NH 2 OH, making C–N coupling dominant for oxime formation. In situ spectroscopy and kinetic isotope measurements further reveal that dual sites reorganize an ordered interfacial H 2 O network that lowers the hydrogen-transfer barrier by more than half, enabling rapid oxime hydrogenation and high-rate glycine production. The efficient synthesis of diverse amino acids, including alanine, glutamate, and leucine, further underscores PRNB as a general paradigm for controlling reaction-network bifurcations in complex chemical synthesis.
Authors
- Xianbiao Fu (ORCID: https://orcid.org/0000-0001-5172-3354)
- W Z Chen
- Zheng Rong Jiang (ORCID: https://orcid.org/0000-0003-4297-464X)
- Yi Zhou (ORCID: https://orcid.org/0000-0002-0273-007X)
- Yi Xie (ORCID: https://orcid.org/0000-0002-1416-5557)
- Yongfu Sun (ORCID: https://orcid.org/0000-0002-4420-5708)
- Chaofan Wan (ORCID: https://orcid.org/0000-0002-8112-3138)
- Li Li (ORCID: https://orcid.org/0000-0001-8963-949X)
- Wenhua Zhang (ORCID: https://orcid.org/0000-0002-0075-385X)
- Jinlong Yang (ORCID: https://orcid.org/0000-0002-5651-5340)
- Jie Ding (ORCID: https://orcid.org/0000-0002-1427-9618)
- Xinliang Feng (ORCID: https://orcid.org/0000-0003-3885-2703)
- Xiaodong Li (ORCID: https://orcid.org/0000-0002-9628-329X)
- Panzhe Qiao (ORCID: https://orcid.org/0000-0002-1670-1499)
- Yan Fang (ORCID: https://orcid.org/0009-0006-8164-8811)
- Lingyue Liu
Institutions
- University of Science and Technology of China (CN)
- National University of Singapore (SG)
- City University of Hong Kong (HK)
- Chinese Academy of Sciences (CN)
- Max Planck Institute of Microstructure Physics (DE)
- Hefei National Center for Physical Sciences at Nanoscale (CN)
- Shanghai Advanced Research Institute (CN)
- Center for Advancing Health (US)
- Advanced Research Institute (US)
- Center for Advancing Electronics Dresden (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- Journal of the American Chemical Society
- Published
- 2026-07-16
- DOI
- https://doi.org/10.1021/jacs.6c09696
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- article
- Field-Weighted Citation Impact
- 0.00