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Sulfur reduction reaction mechanism elucidated with in situ Raman spectroscopy
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Haixia Wu*, Kailu Guo
Chinese Chemical Letters | 2025, 36(6) : 110654
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Chinese Chemical Letters | 2025, 36(6): 110654
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Sulfur reduction reaction mechanism elucidated with in situ Raman spectroscopy
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Haixia Wu*, Kailu Guo
Affiliations
  • College of Chemistry and Chemical Engineering, Henan Key Laboratory of Function-Oriented Porous Materials, Luoyang Normal University, Luoyang 471934, China
Published: 2025-06-15 doi: 10.1016/j.cclet.2024.110654
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Haixia Wu, Kailu Guo. Sulfur reduction reaction mechanism elucidated with in situ Raman spectroscopy[J]. Chinese Chemical Letters, 2025 , 36 (6) : 110654 - . DOI: 10.1016/j.cclet.2024.110654
Lithium metal batteries (LMBs) have attracted great intention due to the high energy density [1]. Among various battery technologies, lithium-sulfur (Li-S) batteries are also very unique but important due to its high energy density, low cost and available sources [2]. Although Li-S batteries exhibit high energy density, the cycling life is poor, especially for large-capacity pouch cells [3]. The cycling performance of Li-S batteries is crucially determined by 16-electron complex sulfur reduction reaction (SRR) from S8 molecules to Li2S solid, which involves the multiple potential interwoven branches among lithium polysulfide intermediates (LiPS, e.g., S8, Li2S8, Li2S6, Li2S4 and Li2S) [4]. The obvious shuttle for soluble LiPS across the cathode and anode leads to the battery capacity fading. Thus, it is necessary to decrease the accumulation of soluble LiPS in the electrolyte through catalysts fastening the key conversion step from high-order polysulfides to insoluble Li2S2/Li2S. Although some effort has been devoted to catalyze SRR, the complex mechanism remains unclear. To address this issue, Duan et al. tried to solve it based on nitrogen, sulfur, dual-doped holey graphene framework (N, S-HGF) electrocatalyst in Nature [5].
In their work, Duan et al. profiled the SRR encompassing the sophisticated 16-electron conversion process from S8 molecules to Li2S solid was involved with multiple soluble LiPS intermediates (Fig. 1a). In the CV curve for SRR with N, S-HGF (Fig. 1b), there are two main peaks (one centered at 2.2–2.5 V and another centered at 1.9–2.1 V) during discharge process. Through calculating the charge number by the integrated area in CV, Li2S4 is believed as the primary intermediate for separating the two reduction peaks, S8 + 4Li+ + 4e → 2Li2S4 and 2Li2S4 + 12Li+ + 12e → 8Li2S. They further employed in situ Raman spectroscopy technique (Fig. 1c) for probing the specific reaction intermediates in following part.
In situ Raman spectroscopy was used to probe the specific reaction intermediates along a discharge CV scan (Figs. 2a and b). The S8 signal (469 cm−1) decreased to disappear at ~2.36 V, followed by Li2S8 signal at 508 cm−1 at ~2.44 V and the Li2S6 signal at 399 cm−1, which is attributed to the electrochemical transformation of Li2S8 to Li2S4 peak emerged at 501 cm−1. As the potential decreased, Li2S4 and Li2S6 became the main polysulfide species, with the decrease of the Li2S6 peak at 399 cm−1 at ~2.30 V. In the voltage-dependent concentration profile (Fig. 2c), each LiPS derived from the peak area exhibited a similar sequence of concentration evolution for S8, Li2S8, Li2S6 and Li2S4 with the decrease of the potential. The above analysis validated the SRR molecular pathway: S8 → Li2S8 → 2Li2S4 (Li2S8 + Li2S4 ⇄ 2Li2S6) → 8Li2S.
In summary, Duan et al. successfully established the complex 16-electron SRR network for Li-S batteries. The work not only gives the example on the electrocatalytic approach for studying complex SRR mechanism for Li-S batteries, but also provides useful insights into SRR electrocatalyst design for Li-S batteries. In addition, this research methodology is also expected to study other catalytic reactions in future. This work demonstrates to be perfect from foundation understanding to practical application.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Haixia Wu: Writing – original draft, Project administration, Formal analysis. Kailu Guo: Funding acquisition, Formal analysis.
[1]
Z.H. Chu, S.D. Zhuang, J.H. Lu, et al., Chin. Chem. Lett. 34 (2023) 107563.
[2]
Q.J. Shao, S.D. Zhu, J. Chen, Nano Res. 16 (2023) 8097–8138.
[3]
C. Zhao, G.L. Xu, Z. Yu, et al., Nat. Nanotechnol. 16 (2021) 166–173.
[4]
Y.X. Yin, S. Xin, Y.G. Guo, et al., Angew. Chem. Int. Ed. 52 (2013) 13186–13200.
[5]
R.L. Liu, Z.Y. Wei, L.L. Peng, et al., Nature 626 (2024) 98–104.
Year 2025 volume 36 Issue 6
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doi: 10.1016/j.cclet.2024.110654
  • Receive Date:2024-09-02
  • Online Date:2025-10-29
  • Published:2025-06-15
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  • Received:2024-09-02
  • Revised:2024-11-08
  • Accepted:2024-11-19
Affiliations
    College of Chemistry and Chemical Engineering, Henan Key Laboratory of Function-Oriented Porous Materials, Luoyang Normal University, Luoyang 471934, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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