Energy-Efficient Co-production of Benzoquinone and H 2 Using Waste Phenol in a Hybrid Alkali/Acid Flow Cell.
Chengchao HeDuo PanKai ChenJunxiang ChenQinlong ZhangHao ZhangZhifang ZhangZhenhai WenPublished in: Angewandte Chemie (International ed. in English) (2024)
In both the manufacturing and chemical industries, benzoquinone is a crucial chemical product. A perfect and economical method for making benzoquinone is the electrochemical oxidation of phenol, thanks to the traditional thermal catalytic oxidation of phenol process requires high cost, serious pollution and harsh reaction conditions. Here, a unique heterostructure electrocatalyst on nickel foam (NF) consisting of nickel sulfide and nickel oxide (Ni 9 S 8 -Ni 15 O 16 /NF) was produced, and this catalyst exhibited a low overpotential (1.35 V vs. RHE) and prominent selectivity (99 %) for electrochemical phenol oxidation reaction (EOP). Ni 9 S 8 -Ni 15 O 16 /NF is beneficial for lowering the reaction energy barrier and boosting reactivity in the EOP process according to density functional theory (DFT) calculations. Additionally, an alkali/acid hybrid flow cell was successfully established by connecting Ni 9 S 8 -Ni 15 O 16 /NF and commercial RuIr/Ti in series to catalyze phenol oxidation in an alkaline medium and hydrogen evolution in an acid medium, respectively. A cell voltage of only 0.60 V was applied to produce a current density of 10 mA cm -2 . Meanwhile, the system continued to operate at 0.90 V for 12 days, showing remarkable long-term stability. The unique configuration of the acid-base hybrid flow cell electrolyzer provides valuable guidance for the efficient and environmentally friendly electrooxidation of phenol to benzoquinone.
Keyphrases
- density functional theory
- metal organic framework
- single cell
- signaling pathway
- lps induced
- oxidative stress
- heavy metals
- hydrogen peroxide
- molecular dynamics
- gold nanoparticles
- nuclear factor
- ionic liquid
- risk assessment
- reduced graphene oxide
- transition metal
- particulate matter
- immune response
- climate change
- drinking water
- mesenchymal stem cells
- carbon nanotubes
- toll like receptor
- air pollution
- highly efficient
- molecular dynamics simulations
- health risk assessment