2022
DOI: 10.26599/nre.2022.9120028
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Benzoate anions-intercalated NiFe-layered double hydroxide nanosheet array with enhanced stability for electrochemical seawater oxidation

Abstract: § Longcheng Zhang and Jie Liang contributed equally to this work. Benzoate anions-intercalated NiFe-LDH nanosheet on carbon cloth (BZ-NiFe-LDH/CC) behaves as a highly efficient and durable electrocatalyst for alkaline seawater oxidation. In alkaline seawater, it attains the current density of 500 mA cm -2 at a low overpotential of 610 mV for 100-h uninterrupted electrolysis with no obvious structural change, reflecting significantly boosted activity and resistance toward chlorine species corrosion.

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Cited by 255 publications
(167 citation statements)
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“…The electrochemically active surface area (ECSA) of Ni SAs@S/N-FCS is further investigated by calculating the electrochemical double-layer capacitance (C dl ). [36][37][38] As expected, the Ni SAs@S/N-FCS catalyst possesses more available active sites with a C dl value of 2.63 mF cm À 2 (Figure 4e; Figure S22, Supporting Information), which is about 8.5 times that of Ni NPs@S/N-FCS (0.31 mF cm À 2 ). Electrochemical impedance spectroscopy (EIS) analysis reveals that the Ni SAs@S/N-FCS catalyst shows a smaller charge transfer resistance than Ni NPs@S/N-FCS and Ni-free S/N-FCS, indicating a faster charge-transfer process for Ni SAs@S/N-FCS during OER (Figure S23, Supporting Information), in line with the Tafel slope results.…”
Section: Methodssupporting
confidence: 60%
“…The electrochemically active surface area (ECSA) of Ni SAs@S/N-FCS is further investigated by calculating the electrochemical double-layer capacitance (C dl ). [36][37][38] As expected, the Ni SAs@S/N-FCS catalyst possesses more available active sites with a C dl value of 2.63 mF cm À 2 (Figure 4e; Figure S22, Supporting Information), which is about 8.5 times that of Ni NPs@S/N-FCS (0.31 mF cm À 2 ). Electrochemical impedance spectroscopy (EIS) analysis reveals that the Ni SAs@S/N-FCS catalyst shows a smaller charge transfer resistance than Ni NPs@S/N-FCS and Ni-free S/N-FCS, indicating a faster charge-transfer process for Ni SAs@S/N-FCS during OER (Figure S23, Supporting Information), in line with the Tafel slope results.…”
Section: Methodssupporting
confidence: 60%
“…Using machine learning techniques to predict the optimal composition/structure of ADMCs and reaction pathways on various possible materials through some key descriptors (e.g., d-band center and adsorption energies), is a promising approach for exploring efficient CO 2 RR/OER bifunctional catalysts. [77,[131][132][133][134][135][136][137][138][139][140][141][142][143][144][145] Moreover, the combination of theoretical calculation and advanced in-situ/operand characterization techniques, such as in situ X-ray absorption spectroscopy (XAS) and in situ ambient-pressure X-ray photoelectron spectroscopy (AP-XPS), is urgently needed for the comprehensive understanding of the structure-activity/selectivity relationships.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, large-scale water electrolysis would doubtlessly exacerbate the shortage of freshwater. In contrast, the proportion of seawater is ~96.5% of the Earth’s water supply, making it have huge potential for large-scale H 2 generation [ 16 , 17 , 18 , 19 , 20 ]. For hydrogen evolution reaction (HER), Pt-based materials are the most efficient catalysts, but the rareness and high cost heavily obstruct their practical applications.…”
Section: Introductionmentioning
confidence: 99%