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ACS Applied Materials & Interfaces|December 19, 2025
Leveraging the Concentration-Gradient Diffusion within a Catalyst-Containing Hydrogel Bilayer Enables Safe and Effective Tooth Whitening and Caries PreventionGe Pan, Wei Deng, Ming Hu, et al.
Analytica Chimica Acta|September 11, 2022
Size-effect on the intracellular antioxidative activity of Prussian blue nanoparticles investigated by atomic force microscopyZongjia Li, Xinyue Guo, Juan Qin, et al.
The Journal of Physical Chemistry Letters|June 1, 2021
Real-Time Characterization of the Fine Structure and Dynamics of an Electrical Double Layer at Electrode-Electrolyte InterfacesYanyan Zhang, Jilin Tang, Zhigang Ni, et al.
Small (Weinheim an Der Bergstrasse, Germany)|August 13, 2025
Light-Activatable Nanotherapeutic Platform Synchronizing ROS-Mediated Antibacterial Action with Macrophage Polarization for Refractory Wound InfectionsXinyue Guo, Hongru Li, Yu Chen, et al.
ACS Applied Materials & Interfaces|August 30, 2023
Combination of Rapid Intrinsic Activity Measurements and Machine Learning as a Screening Approach for Multicomponent ElectrocatalystsChen Liu, Yan Ding, Yanxue Guan, et al.
Journal of Materials Chemistry. B|October 26, 2021
Studying the effect of PDA@CeO<sub>2</sub> nanoparticles with antioxidant activity on the mechanical properties of cellsXinyue Guo, Zongjia Li, Sitong Liu, et al.
The Journal of Physical Chemistry. B|October 26, 2012
Single molecular recognition force spectroscopy study of a luteinizing hormone-releasing hormone analogue as a carcinoma target drugJing Zhang, Guangmou Wu, Chunli Song, et al.
Advanced Healthcare Materials|June 30, 2023
Cryptotanshinone-Doped Photothermal Synergistic MXene@PDA Nanosheets with Antibacterial and Anti-Inflammatory Properties for Wound HealingZongjia Li, Wei Wei, Miaomiao Zhang, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|October 25, 2016
Phosphorescence detection of manganese(VII) based on Mn-doped ZnS quantum dotsPan Deng, Li-Qiang Lu, Wei-Cheng Cao, et al.
ACS Nano|August 9, 2025
Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia TreatmentPeiyu Yan, Jing Sun, Yuehua Zhao, et al.
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