@article {Wang2022-ib,
	title = {Two-dimensional mesoporous nitrogen-rich carbon nanosheets loaded with CeO2 nanoclusters as nanozymes for the electrochemical detection of superoxide anions in HepG2 cells},
	journal = {Biosensors and Bioelectronics},
	volume = {209},
	year = {2022},
	pages = {114229},
	publisher = {Elsevier},
	abstract = {Two-dimensional (2D) porous carbon-based composite nanosheets loaded with metal oxide nanoclusters are expected to be promising electrocatalysts for high-performance electrochemical sensors. However, for this complicated composite material, strict reaction conditions and complex synthesis steps limit its general application in electrochemical detection. Here we present a facile method to fabricate 2D mesoporous nitrogen-rich carbon nanosheets loaded with CeO2 nanoclusters (2D-mNC@CeO2), for fabricating superoxide anions (O2{\textbullet}-) electrochemical sensor. The method is based on block copolymers self-assembly and the affinity of polydopamine to metal ions to obtain organic-inorganic hybrid, which can be directly converted into 2D-mNC@CeO2 through carbonization strategy without structural deterioration. Characterizations demonstrate that the 2D-mNC@CeO2 owned the 2D N-doped carbon structure with an interlinked hierarchical mesoporous and the uniformly dispersed CeO2 nanoclusters on the surface. Benefitted from the unique structure, the 2D-mNC@CeO2 shortens electron transfer distance, enhances mass transfer efficiency, exposes numerous active sites, and obtain a high Ce3+/Ce4+ ratio for improving electrocatalytic performance. The 2D-mNC@CeO2/SPCEs sensors for O2{\textbullet}- detection has a detection limit of 0.179 μM (S/N = 3) and sensitivity of 401.4 μA cm-2 mM-1. The sensors can be applied to capture electrochemical signals of O2{\textbullet}- released from HepG2 cells, demonstrating the application potential of the sensors to monitor O2{\textbullet}- in biological fields.},
	keywords = {Metal oxides nanoclusters, Nitrogen-rich carbon, Pore structure, Superoxide anions, Two-Dimensional},
	author = {Wang, Zhenxing and Zhao, Hongli and Chen, Kaicha and Zhou, Fangfang and Magdassi, Shlomo and Lan, Minbo}
}
