Semantic Scholar Open Access 2023 117 sitasi

Highly Efficient Electrochemical Nitrate Reduction to Ammonia in Strong Acid Conditions with Fe2M-Trinuclear-Cluster Metal-Organic Frameworks.

Yang Lv Si-Wen Ke Yuming Gu B. Tian Lingyu Tang +5 lainnya

Abstrak

Nitrate-containing industrial wastewater poses a serious threat to the global food security and public health safety. As compared to the traditional microbial denitrification, electrocatalytic nitrate reduction shows better sustainability with ultrahigh energy efficiency and the production of high-value ammonia (NH3). However, nitrate-containing wastewater from most industrial processes, such as mining, metallurgy, and petrochemical engineering, is generally acidic, which contradicts the typical neutral/alkaline working conditions for both denitrifying bacteria and the state-of-the-art inorganic electrocatalysts, leading to the demand for pre-neutralization and the problematic hydrogen evaluation reaction (HER) competition and catalyst dissolution. Here, we report a series of FeM2 (M = Fe, Co, Ni, Zn) trinuclear cluster metal-organic frameworks (MOFs) that enable the highly efficient electrocatalytic nitrate reduction to ammonium under strong acidic conditions with excellent stability. In pH=1 electrolyte, the Fe2Co-MOF demonstrates the NH3 yield rate of 20653.5 μg·h-1·mg-1site with 90.55% NH3-Faradaic efficiency (FE), 98.5% NH3-selectivity and up to 75 hr of electrocatalytic stability. Additionally, successful nitrate reduction in high-acidic conditions directly produce the ammonium sulfate as nitrogen fertilizer, avoiding the subsequent aqueous ammonia extraction and preventing the ammonia spillage loss. This cluster-based MOF structure provide new insights into the design principles of high-performance nitrate reduction catalysts under environmentally-relevant wastewater conditions.

Topik & Kata Kunci

Penulis (10)

Y

Yang Lv

S

Si-Wen Ke

Y

Yuming Gu

B

B. Tian

L

Lingyu Tang

P

Pan Ran

Y

Yue Zhao

J

Jing Ma

J

J. Zuo

M

Mengning Ding

Format Sitasi

Lv, Y., Ke, S., Gu, Y., Tian, B., Tang, L., Ran, P. et al. (2023). Highly Efficient Electrochemical Nitrate Reduction to Ammonia in Strong Acid Conditions with Fe2M-Trinuclear-Cluster Metal-Organic Frameworks.. https://doi.org/10.1002/anie.202305246

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
117×
Sumber Database
Semantic Scholar
DOI
10.1002/anie.202305246
Akses
Open Access ✓