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Xiaochen Dong

Researcher at Nanjing Tech University

Publications -  377
Citations -  27515

Xiaochen Dong is an academic researcher from Nanjing Tech University. The author has contributed to research in topics: Photothermal therapy & Chemistry. The author has an hindex of 70, co-authored 300 publications receiving 19359 citations. Previous affiliations of Xiaochen Dong include Zhejiang University & Liaocheng University.

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Biological and chemical sensors based on graphene materials

TL;DR: This article critically and comprehensively reviews the emerging graphene-based electrochemical sensors, electronic sensors, optical sensors, and nanopore sensors for biological or chemical detection and emphasizes on the underlying detection (or signal transduction) mechanisms.
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3D Graphene–Cobalt Oxide Electrode for High-Performance Supercapacitor and Enzymeless Glucose Detection

TL;DR: The 3D graphene/Co(3)O(4) composite was used as the monolithic free-standing electrode for supercapacitor application and for enzymeless electrochemical detection of glucose and it is demonstrated that it is capable of delivering high specific capacitance and detecting glucose with a ultrahigh sensitivity.
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Recent Progress in Ferroptosis Inducers for Cancer Therapy

TL;DR: A literature review of ferroptosis inducers (including small molecules and nanomaterials) is presented to delineate their design, action mechanisms, and anticancer applications.
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Stretchable Ti3C2Tx MXene/Carbon Nanotube Composite Based Strain Sensor with Ultrahigh Sensitivity and Tunable Sensing Range

TL;DR: The versatile and scalable Ti3C2Tx MXene/CNT strain sensors provide a promising route to future wearable artificial intelligence with comprehensive tracking ability of real-time and in situ physiological signals for health and sporting applications.
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Doping single-layer graphene with aromatic molecules.

TL;DR: It is demonstrated that the electronic structures of SLG can be differentially modulated by doping from various aromatic molecules and it is shown that a simple spectroscopic method based on the Raman 2D and G band frequency sampling can be used to distinguish the n- and p-doped SLG.