Cited by 269Electrocatalysts for Energy ConversionFuel Cells and Related MaterialsCO2 Reduction Techniques and Catalysts

Engineering Platinum–Cobalt Nano-alloys in Porous Nitrogen-Doped Carbon Nanotubes for Highly Efficient Electrocatalytic Hydrogen Evolution

Open access
Zhang, Song Lin, Lu, Xue Feng, Wu, Zhi‐Peng, Luan, Deyan, Lou, Xiong Wen (David)·2021·Angewandte Chemie International Edition

Abstract

Highly efficient electrocatalysts are essential for the production of green hydrogen from water electrolysis. Herein, a metal‐organic framework‐assisted pyrolysis‐replacement‐reorganization approach is developed to obtain ultrafine Pt‐Co alloy nanoparticles (sub‐10 nm) attached on the inner and outer shells of porous nitrogen‐doped carbon nanotubes (NCNT) with closed ends. During the thermal reorganization, the migration of Pt‐Co nano‐alloys to both surfaces ensures the maximized exposure of active sites while maintaining the robust attachment to the porous carbon matrix. Density functional theory calculations suggest a nearly thermodynamically‐neutral free energy of adsorption for hydrogen intermediates and diversified active sites induced by alloying, thus resulting in a great promotion in intrinsic activity towards the hydrogen evolution reaction (HER). Benefiting from the delicate structural design and compositional modulation, the optimized Pt 3 Co@NCNT electrocatalyst manifests outstanding HER activity and superior stability in both acidic and alkaline media.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/anie.202106547

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Platinum is the optimal electrode material for the HER because of its exceptional capacity to facilitate hydrogen evolution and its minimal onset overpotential.

    “Platinum (Pt) is the optimal option for electrode material in the context of the HER, due to its exceptional capacity to facilitate hydrogen evolution and its minimal onset overpotential [16,23,24].”

    From Developments in Nanostructured MoS2-Decorated Reduced Graphene Oxide Composite Aerogel as an Electrocatalyst for the Hydrogen Evolution Reaction (2024) · cites this paper as [23]

    The paper’s Abstract calls carbon-supported Pt a leading HER catalyst and says its hydrogen-intermediate behavior gives low overpotential and fast kinetics in acidic media. It does not establish that Pt is the optimal electrode material across HER conditions or specifically that it has the minimal onset overpotential; the paper reports better performance for its Pt–Co alloy than for commercial Pt/C. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Pt-based nanomaterials have been the catalysts of choice for HER.

    “Platinum (Pt)-based nanomaterials have been the catalysts of choice for hydrogen evolution reaction (HER) [1–6]”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 50 references couldn’t be matched to a known paper.

Research works printed but not linked: 44

  1. [1]1. T. M. Gür, Energy Environ. Sci. 2018, 11, 2696.
  2. [2]2. Z. P. Cano, D. Banham, S. Ye, A. Hintennach, J. Lu, M. Fowler, Z. Chen, Nat. Energy 2018, 3, 279.
  3. [3]3. M. S. Dresselhaus, I. L. Thomas, Nature 2001, 414, 332.
  4. [5]5. Y. Men, P. Li, J. Zhou, G. Cheng, S. Chen, W. Luo, ACS Catal. 2019, 9, 3744.
  5. [6]6. A. Minguzzi, F.-R. F. Fan, A. Vertova, S. Rondinini, A. J. Bard, Chem. Sci. 2012, 3, 217.
  6. [7]7. X.-K. Wan, H. B. Wu, B. Y. Guan, D. Luan, X. W. Lou, Adv. Mater. 2020, 32, 1901349.
  7. [8]8. R. Ferrando, J. Jellinek, R. L. Johnston, Chem. Rev. 2008, 108, 845.
  8. [9]9. W. Li, Y. Zhao, Y. Liu, M. Sun, G. I. N. Waterhouse, B. Huang, K. Zhang, T. Zhang, S. Lu, Angew. Chem. Int. Ed. 2021, 60, 3290.
  9. [10]10. R. Subbaraman, D. Tripkovic, K.-C. Chang, D. Strmcnik, A. P. Paulikas, P. Hirunsit, M. Chan, J. Greeley, V. Stamenkovic, N. M. Markovic, Nat. Mater. 2012, 11, 550.
  10. [11]11. L. M. Gandía, R. Oroz, A. Ursúa, P. Sanchis, P. M. Diéguez, Energy Fuels 2007, 21, 1699.
  11. [12]12. S. L. Zhang, B. Y. Guan, X. F. Lu, S. Xi, Y. Du, X. W. Lou, Adv. Mater. 2020, 32, 2002235.
  12. [13]13. N. Mahmood, Y. Yao, J.-W. Zhang, L. Pan, X. Zhang, J.-J. Zou, Adv. Sci. 2018, 5, 1700464.
  13. [14]14. R. Subbaraman, D. Tripkovic, D. Strmcnik, K.-C. Chang, M. Uchimura, A. P. Paulikas, V. Stamenkovic, N. M. Markovic, Science 2011, 334, 1256.
  14. [15]15. N. Danilovic, R. Subbaraman, D. Strmcnik, K.-C. Chang, A. P. Paulikas, V. R. Stamenkovic, N. M. Markovic, Angew. Chem. Int. Ed. 2012, 51, 12495.
  15. [16]16. P. Wang, X. Zhang, J. Zhang, S. Wan, S. Guo, G. Lu, J. Yao, X. Huang, Nat. Commun. 2017, 8, 14580.
  16. [17]17. J. Zecevic, G. Vanbutsele, K. P. de Jong, J. A. Martens, Nature 2015, 528, 245.
  17. [18]18. T. W. van Deelen, C. Hernández Mejía, K. P. de Jong, Nat. Catal. 2019, 2, 955.
  18. [19]19. Y.-J. Wang, N. Zhao, B. Fang, H. Li, X. T. Bi, H. Wang, Chem. Rev. 2015, 115, 3433.
  19. [20]20. L. Yu, X. Y. Yu, X. W. Lou, Adv. Mater. 2018, 30, 1800939.
  20. [21]21. L. Yu, H. Hu, H. B. Wu, X. W. Lou, Adv. Mater. 2017, 29, 1604563.
  21. [22]22. H. Sun, J. Zhu, D. Baumann, L. Peng, Y. Xu, I. Shakir, Y. Huang, X. Duan, Nat. Rev. Mater. 2019, 4, 45.
  22. [23]23. Z. Cao, Q. Chen, J. Zhang, H. Li, Y. Jiang, S. Shen, G. Fu, B. Lu, Z. Xie, L. Zheng, Nat. Commun. 2017, 8, 15131.
  23. [24]24. G. Liu, W. Zhou, B. Chen, Q. Zhang, X. Cui, B. Li, Z. Lai, Y. Chen, Z. Zhang, L. Gu, H. Zhang, Nano Energy 2019, 66, 104173.
  24. [25]25. H. Wang, S. Xu, C. Tsai, Y. Li, C. Liu, J. Zhao, Y. Liu, H. Yuan, F. Abild-Pedersen, F. B. Prinz, J. K. Nørskov, Y. Cui, Science 2016, 354, 1031.
  25. [26]26. M. Luo, S. Guo, Nat. Rev. Mater. 2017, 2, 17059.
  26. [27]27. S. L. Zhang, B. Y. Guan, X. W. Lou, Small 2019, 15, 1805324.
  27. [28]28. K. Li, Y. Li, Y. Wang, J. Ge, C. Liu, W. Xing, Energy Environ. Sci. 2018, 11, 1232.
  28. [29]29. S. Yuan, L. Feng, K. Wang, J. Pang, M. Bosch, C. Lollar, Y. Sun, J. Qin, X. Yang, P. Zhang, Q. Wang, L. Zou, Y. Zhang, L. Zhang, Y. Fang, J. Li, H. C. Zhou, Adv. Mater. 2018, 30, 1704303.
  29. [30]30. B. Y. Guan, X. Y. Yu, H. B. Wu, X. W. Lou, Adv. Mater. 2017, 29, 1703614.
  30. [31]31. X. F. Lu, Y. Fang, D. Luan, X. W. Lou, Nano Lett. 2021, 21, 1555.
  31. [32]32. C. S. Diercks, M. J. Kalmutzki, N. J. Diercks, O. M. Yaghi, ACS Cent. Sci. 2018, 4, 1457.
  32. [33]33. K. S. Park, Z. Ni, A. P. Côté, J. Y. Choi, R. Huang, F. J. Uribe-Romo, H. K. Chae, M. O'Keeffe, O. M. Yaghi, Proc. Natl. Acad. Sci. U.S.A. 2006, 103, 10186.
  33. [34]34. H. Hayashi, A. P. Côté, H. Furukawa, M. O'Keeffe, O. M. Yaghi, Nat. Mater. 2007, 6, 501.
  34. [35]35. D. Wang, H. L. Xin, R. Hovden, H. Wang, Y. Yu, D. A. Muller, F. J. DiSalvo, H. D. Abruña, Nat. Mater. 2013, 12, 81.
  35. [36]36. J. Melke, B. Peter, A. Habereder, J. Ziegler, C. Fasel, A. Nefedov, H. Sezen, C. Wöll, H. Ehrenberg, C. Roth, ACS Appl. Mater. Interfaces 2016, 8, 82.
  36. [37]37. M. Oezaslan, F. Hasché, P. Strasser, J. Electrochem. Soc. 2012, 159, B394.
  37. [38]38. A. Zadick, L. Dubau, N. Sergent, G. Berthomé, M. Chatenet, ACS Catal. 2015, 5, 4819.
  38. [39]39. H. T. Duong, M. A. Rigsby, W.-P. Zhou, A. Wieckowski, J. Phys. Chem. C 2007, 111, 13460.
  39. [40]40. J. K. Nørskov, T. Bligaard, J. Rossmeisl, C. H. Christensen, Nat. Chem. 2009, 1, 37.
  40. [41]41. Z. Li, J.-Y. Fu, Y. Feng, C.-K. Dong, H. Liu, X.-W. Du, Nat. Catal. 2019, 2, 1107.
  41. [42]42. Y. Xiong, L. Xiao, Y. Yang, F. J. DiSalvo, H. D. Abruña, Chem. Mater. 2018, 30, 1532.
  42. [43]43. S. Koh, M. F. Toney, P. Strasser, Electrochim. Acta 2007, 52, 2765.
  43. [44]44. Z.-P. Wu, D. T. Caracciolo, Y. Maswadeh, J. Wen, Z. Kong, S. Shan, J. A. Vargas, S. Yan, E. Hopkins, K. Park, A. Sharma, Y. Ren, V. Petkov, L. Wang, C.-J. Zhong, Nat. Commun. 2021, 12, 859.
  44. [45]45. B. Hammer, J. K. Norskov, Nature 1995, 376, 238.

Cited by

Sorted by citations

Authors
Zhang, S. L., Lu, X. F., Wu, Z., Luan, D., & Lou, X. W. (.
Affiliations
Nanyang Technological University (SG)
Corresponding author
Lou, Xiong Wen (David)
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2021-07-20
Volume
60
Issue
35
Pages
19068-19073
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W3170944350
Cited by
269
References
50
Citations by year
2026: 29 · 2025: 45 · 2024: 54 · 2023: 73 · 2022: 55 · 2021: 13
FWCI
9.15
Type
journal article
Language
en
Open access
Locations
  • Angewandte Chemie International Edition (publishedVersion)
  • PubMed (publishedVersion)
  • DR-NTU (Nanyang Technological University) (submittedVersion)
Funders
  • National Research Foundation Singapore (NRF-NRFI2016-04)
  • Ministry of Education - Singapore (MOE2019-T2-2-049)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Fuel Cells and Related Materials
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
Keywords
nitrogen-doped carbon nanotubes, hydrogen evolution reaction, electrocatalysts, thermal reorganization, green hydrogen production, water electrolysis, hydrogen adsorption free energy, alloying effects

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review