Enhanced CO2 reduction to multi-carbon products on CuLa bimetallic catalyst
Di Wang , Jungho Kim , Hyun Dong Jung , Jingyi Chen , Shibo Xi , Jiayi Chen , Seoin Back , Lei Wang
InfoMat ›› 2026, Vol. 8 ›› Issue (6) : e70145
Electrochemical CO2 reduction (CO2R) powered with renewable electricity has been considered as a promising approach for carbon emission mitigation and sustainable production of value-added chemicals. Developing active and selective electrocatalysts capable of achieving high multi-carbon product selectivity at low overpotentials remains a critical challenge. In this work, we develop a lanthanum (La) doping strategy to optimize Cu-based catalysts for enhanced CO2R performance. As a result, the optimized La-modified CuO catalyst achieves a remarkable Faradaic efficiency of over 75% toward multi-carbon products at a modest potential of approximately −0.5 V versus reversible hydrogen electrode, achieving a practical relevant current density of over 200 mA cm−2. This high selectivity represents a twofold enhancement over state-of-the-art CuO-based catalysts under identical conditions. Detailed kinetic assessments and mechanistic investigations reveal that La incorporation enhance *CO binding strength on Cu and facilitate CO—CO dimerization, thereby facilitating the production of multi-carbon products. Overall, this work establishes an effective approach for boosting multi-carbon production through strategic rare-earth element modification, thereby advancing the development of efficient CO2R systems for sustainable chemical synthesis.
catalysts design / electrochemical CO2 reduction / multi-carbon products
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
|
| [74] |
|
2026 The Author(s). InfoMat published by UESTC and John Wiley & Sons Australia, Ltd.
/
| 〈 |
|
〉 |