journal article·2026-01-28

Assessing the Neuro- and Immunotoxicity of Dissolved Ru 3+ from Proton Exchange Membrane Electrolyzers by Zebrafish Models

Zhe Liu, Yuanye Gao, Xuhui Guo, Siwei Li

Publisher page

Abstract

The scaling up of proton exchange membrane (PEM) electrolyzers for green hydrogen requires proactive environmental risk assessment of catalyst materials. Ruthenium (Ru)-based catalysts are increasingly favored over iridium (Ir) due to cost advantages. However, their tendency to dissolve and release Ru 3+ ions under operational conditions poses a potential but unexplored ecological threat. This study demonstrates that Ru 3+ exhibits significantly higher acute toxicity than Ir 3+ in zebrafish, with a 48 hpf LC 50 of 55.3 mg/L. Transcriptomic analysis revealed 4,619 differentially expressed genes, predominantly enriched in neurodevelopmental and immunotoxic pathways, leading to reduced hatching, immune dysregulation, and locomotor defects. Molecular docking identified key protein targets (CASP3, DLG4, GRIN2B, and GSTO1) underlying the toxicity. These findings establish a preemptive safety benchmark for Ru 3+ and underscore the necessity of incorporating ecotoxicological considerations into the sustainable design of PEM electrocatalysts. We advocate for an expanded ASC-E (Activity, Stability, Cost, Environment) paradigm that integrates environmental biosafety as a core metric.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Hybrid Renewable Energy Systems · CO2 Reduction Techniques and Catalysts

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Health Science Center

Xi’an Jiaotong University

Institute of Neuroscience, Translational Medicine Institute, Health Science Center

Institute of Industrial Catalysis, School of Chemical Engineering and Technology

Funding

Xi???an Jiaotong University · China Postdoctoral Science Foundation · Shaanxi Provincial Science and Technology Department

References (69)

Show source-provided references
1. 10.1038/nature1147510.1038/nature11475 ↗
2. 10.1126/science.110319710.1126/science.1103197 ↗
3. International Renewable Energy Agency · 2023
4. Astute Analytica · 2025
5. 10.1002/advs.20230936410.1002/advs.202309364 ↗
6. 10.3390/ijms2604158210.3390/ijms26041582 ↗
7. 10.1126/science.adg519310.1126/science.adg5193 ↗
8. 10.1126/sciadv.adf914410.1126/sciadv.adf9144 ↗
9. 10.1016/j.scib.2022.10.00110.1016/j.scib.2022.10.001 ↗
10. 10.1007/s40820-021-00679-310.1007/s40820-021-00679-3 ↗
11. 10.1002/adma.20231069010.1002/adma.202310690 ↗
12. 10.1038/s41563-022-01380-510.1038/s41563-022-01380-5 ↗
13. 10.1016/j.jechem.2024.09.07010.1016/j.jechem.2024.09.070 ↗
14. 10.1002/adfm.20221330410.1002/adfm.202213304 ↗
15. 10.1016/S0140-6736(17)32287-010.1016/S0140-6736(17)32287-0 ↗
16. 10.1021/acs.est.9b0625310.1021/acs.est.9b06253 ↗
17. The Lancet · Lancet · 1971 · 1 · 382
18. 10.1289/ehp.090123410.1289/ehp.0901234 ↗
19. 10.1016/j.semcancer.2021.07.00910.1016/j.semcancer.2021.07.009 ↗
20. 10.1016/j.redox.2025.10376110.1016/j.redox.2025.103761 ↗
21. 10.1016/j.scitotenv.2019.13429910.1016/j.scitotenv.2019.134299 ↗
22. 10.1021/acsami.0c1749210.1021/acsami.0c17492 ↗
23. 10.1021/acsami.4c1480910.1021/acsami.4c14809 ↗
24. 10.1038/s41392-022-01225-210.1038/s41392-022-01225-2 ↗
25. 10.1021/acs.est.4c1449010.1021/acs.est.4c14490 ↗
26. 10.1038/s41467-025-58570-310.1038/s41467-025-58570-3 ↗
27. 10.1111/jpi.1223010.1111/jpi.12230 ↗
28. 10.1016/j.scitotenv.2021.15021010.1016/j.scitotenv.2021.150210 ↗
29. 10.1021/acs.nanolett.4c0513910.1021/acs.nanolett.4c05139 ↗
30. 10.1016/j.checat.2024.10100410.1016/j.checat.2024.101004 ↗
31. 10.1073/pnas.050658010210.1073/pnas.0506580102 ↗
32. 10.1038/ng118010.1038/ng1180 ↗
33. 10.1016/j.aquatox.2009.10.00310.1016/j.aquatox.2009.10.003 ↗
34. 10.1016/j.ecoenv.2024.11686610.1016/j.ecoenv.2024.116866 ↗
35. 10.3389/fphar.2022.96101210.3389/fphar.2022.961012 ↗
36. 10.1016/j.ecoenv.2025.11791110.1016/j.ecoenv.2025.117911 ↗
37. 10.1016/j.scitotenv.2023.16790410.1016/j.scitotenv.2023.167904 ↗
38. 10.1038/s41467-023-35913-610.1038/s41467-023-35913-6 ↗
39. 10.1038/s41467-023-40662-710.1038/s41467-023-40662-7 ↗
40. 10.31083/j.fbl270411010.31083/j.fbl2704110 ↗
41. 10.1016/j.scitotenv.2023.16378310.1016/j.scitotenv.2023.163783 ↗
42. 10.1111/prd.1203410.1111/prd.12034 ↗
43. 10.1161/CIRCULATIONAHA.115.02063310.1161/CIRCULATIONAHA.115.020633 ↗
44. 10.1182/blood.202000916610.1182/blood.2020009166 ↗
45. 10.1182/blood-2016-05-71899910.1182/blood-2016-05-718999 ↗
46. 10.1038/s41467-021-26421-610.1038/s41467-021-26421-6 ↗
47. 10.1080/15476286.2015.101724010.1080/15476286.2015.1017240 ↗
48. 10.1016/j.neuron.2013.10.02210.1016/j.neuron.2013.10.022 ↗
49. 10.1016/0092-8674(94)90556-810.1016/0092-8674(94)90556-8 ↗
50. 10.1038/nrn.2016.18310.1038/nrn.2016.183 ↗
51. 10.1016/S1474-4422(19)30244-310.1016/S1474-4422(19)30244-3 ↗
52. 10.1016/j.phrs.2023.10669810.1016/j.phrs.2023.106698 ↗
53. 10.1016/j.ijbiomac.2025.14481810.1016/j.ijbiomac.2025.144818 ↗
54. 10.1038/s41401-020-00534-y10.1038/s41401-020-00534-y ↗
55. 10.1126/science.120252910.1126/science.1202529 ↗
56. 10.1016/j.celrep.2024.11463410.1016/j.celrep.2024.114634 ↗
57. 10.1084/jem.2020263710.1084/jem.20202637 ↗
58. 10.1038/s41929-019-0246-210.1038/s41929-019-0246-2 ↗
59. 10.1016/j.scenem.2025.10000410.1016/j.scenem.2025.100004 ↗
60. 10.1021/jacs.4c0409610.1021/jacs.4c04096 ↗
61. 10.1016/j.jhazmat.2019.12184210.1016/j.jhazmat.2019.121842 ↗
62. 10.1016/j.ecoenv.2023.11486210.1016/j.ecoenv.2023.114862 ↗
63. 10.1038/nri229410.1038/nri2294 ↗
64. 10.1007/s00281-013-0365-910.1007/s00281-013-0365-9 ↗
65. 10.1073/pnas.92.5.151010.1073/pnas.92.5.1510 ↗
66. 10.1523/JNEUROSCI.1246-16.201610.1523/JNEUROSCI.1246-16.2016 ↗
67. 10.1073/pnas.170605311410.1073/pnas.1706053114 ↗
68. 10.1021/acsami.1c0069010.1021/acsami.1c00690 ↗
69. 10.1038/s41467-025-62036-x10.1038/s41467-025-62036-x ↗