Efficient Catalytic Process Induced by Lithium-Deficient Spent LiNi<sub>1/3</sub>Co<sub>1/3</sub>Mn<sub>1/3</sub>O<sub>2</sub>: Toward Both Organic Pollutant Decontamination and E-Waste Reuse

Spent LiNixCoyMnzO2 (SNCM) still suffers from high recycling costs and secondary contamination, whereas materials containing nickel, cobalt, or manganese have been demonstrated to have excellent catalytic ability in the activation of sulfite [S(IV)]. The effective combination of SNCM and S(IV) is therefore expected to maximize the value of e-waste recycling. In this study, lithium defects and oxygen vacancies were found in SNCM, rather than in pristine nickel cobalt manganese oxide, which greatly enhanced the efficiency of S(IV) activation. Six typical pollutants can be efficiently degraded in the SNCM/S(IV) system, and their degradation efficiencies were all above 75% within 60 min. Interestingly, different from the alkaline conditions, an induction period of 3 min was observed under acidic conditions. HSO3– was slowly adsorbed to release SO3•– over 3 min. This conclusion has been validated through quenching experiments, S(IV) consumption profiles, and density functional theory calculations. SO4•– and •OH are the main reactive oxidative species in the SNCM/S(IV) system, and the generation of SO5•– by O2 with SO3•– may be a key step for the further production of SO4•–, •OH, and 1O2. Moreover, the excellent stability and practical application prospects of the SNCM/S(IV) system are also discussed.

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Publication Details

Journal
ACS ES&T Water
Published
2024-10-22
DOI
https://doi.org/10.1021/acsestwater.4c00730
Citations
1
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.21

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article

Efficient Catalytic Process Induced by Lithium-Deficient Spent LiNi1/3Co1/3Mn1/3O2: Toward Both Organic Pollutant Decontamination and E-Waste Reuse

Yaoguang Guo, Jie Guan, Xiaojiao Zhang, Jiaowen Shen et al.
1 citations
ACS ES&T Water
Extraction and Separation Processes
0.21
article

Efficient Catalytic Process Induced by Lithium-Deficient Spent LiNi1/3Co1/3Mn1/3O2: Toward Both Organic Pollutant Decontamination and E-Waste Reuse

Yaoguang Guo, Jie Guan, Xiaojiao Zhang, Jiaowen Shen, Xiuli Li, Xiaolong Song, Zeqiu Chen, Zhaohui Wang, Xiaoyi Lou, Ruiqin Q. Zhang, Pu Wang, Yifan Sui
article en
1 citations

Abstract

Spent LiNixCoyMnzO2 (SNCM) still suffers from high recycling costs and secondary contamination, whereas materials containing nickel, cobalt, or manganese have been demonstrated to have excellent catalytic ability in the activation of sulfite [S(IV)]. The effective combination of SNCM and S(IV) is therefore expected to maximize the value of e-waste recycling. In this study, lithium defects and oxygen vacancies were found in SNCM, rather than in pristine nickel cobalt manganese oxide, which greatly enhanced the efficiency of S(IV) activation. Six typical pollutants can be efficiently degraded in the SNCM/S(IV) system, and their degradation efficiencies were all above 75% within 60 min. Interestingly, different from the alkaline conditions, an induction period of 3 min was observed under acidic conditions. HSO3– was slowly adsorbed to release SO3•– over 3 min. This conclusion has been validated through quenching experiments, S(IV) consumption profiles, and density functional theory calculations. SO4•– and •OH are the main reactive oxidative species in the SNCM/S(IV) system, and the generation of SO5•– by O2 with SO3•– may be a key step for the further production of SO4•–, •OH, and 1O2. Moreover, the excellent stability and practical application prospects of the SNCM/S(IV) system are also discussed.

ACS ES&T WaterVol. 4(11)
Shanghai Polytechnic University (CN), City University of Hong Kong (HK), Ministry of Natural Resources (CN), Shanghai Innovative Research Center of Traditional Chinese Medicine (CN), Chinese Academy of Fishery Sciences (CN), East China Normal University (CN)
National Natural Science Foundation of China, Shanghai Shuguang Program
Openalex Percentile: Top 51%
Extraction and Separation Processes
0.21
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