Functionalized Copper Nanoparticles with Gold Nanoclusters: Part I. Highly Selective Electrosynthesis of Hydrogen Peroxide.
Kun LuoYa LiTong LiuXiangqun ZhugeEtelka ChungAndrew R TimmsSimon P GrahamGuogang RenPublished in: ACS omega (2023)
Copper nanoparticles (CuNPs) and gold nanoclusters (AuNCs) show a high catalytic performance in generating hydrogen peroxide (H 2 O 2 ), a property that can be exploited to kill disease-causing microbes and to carry carbon-free energy. Some combinations of NPs/NCs can generate synergistic effects to produce stronger antiseptics, such as H 2 O 2 or other reactive oxygen species (ROS). Herein, we demonstrate a novel facile AuNC surface decoration method on the surfaces of CuNPs using galvanic displacement. The Cu-Au bimetallic NPs presented a high selective production of H 2 O 2 via a two-electron (2e - ) oxygen reduction reaction (ORR). Their physicochemical analyses were conducted by scanning electron microscopy (SEM), transmitting electron microscopy (TEM), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS). With the optimized Cu-Au 1.5 NPs showing their particle sizes averaged in 53.8 nm, their electrochemical analysis indicated that the pristine AuNC structure exhibited the highest 2e - selectivity in ORR, the CuNPs presented the weakest 2e - selectivity, and the optimized Cu-Au 1.5 NPs exhibited a high 2e - selectivity of 95% for H 2 O 2 production, along with excellent catalytic activity and durability. The optimized Cu-Au 1.5 NPs demonstrated a novel pathway to balance the cost and catalytic performance through the appropriate combination of metal NPs/NCs.
Keyphrases
- electron microscopy
- hydrogen peroxide
- oxide nanoparticles
- sensitive detection
- reactive oxygen species
- reduced graphene oxide
- quantum dots
- nitric oxide
- metal organic framework
- aqueous solution
- high resolution
- photodynamic therapy
- cell death
- dna damage
- escherichia coli
- molecularly imprinted
- single molecule
- pseudomonas aeruginosa
- cancer therapy
- silver nanoparticles
- candida albicans
- mass spectrometry
- data analysis