4.8 Review

Recent advances on TMDCs for medical diagnosis

期刊

BIOMATERIALS
卷 269, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2020.120471

关键词

Transition metal dichalcogenides; 2D crystal; Medical diagnosis; Biosensing; Bioimaging)

资金

  1. State Key Research Development Program of China [2019YFB2203503]
  2. National Natural Science Foundation of China [61875138, 6181101252]
  3. Science and Technology Innovation Commission of Shenzhen [KQTD2015032416270385, JCYJ20150625103619275, JCYJ20170811093453105]
  4. Doctoral Fund of Ministry of Education of China [2019M663059]
  5. Instrumental Analysis Center of Shenzhen University (Xili Campus)

向作者/读者索取更多资源

Transition metal dichalcogenides (TMDCs), including MoS2 and WS2, have garnered significant attention in biosensing and bioimaging due to their excellent stability, biocompatibility, high specific surface area, and diverse varieties. This review overviewed the synthesis methods, surface functionalization methods, and research progress in TMDC-based biosensing and bioimaging applications. Future challenges, development directions, and the potential of TMDCs in modern medical diagnosis big data were also discussed.
Transition metal dichalcogenides (TMDCs), such as MoS2 and WS2, have attracted much attention in biosensing and bioimaging due to its excellent stability, biocompatibility, high specific surface area, and wide varieties. In this review, we overviewed the application of TMDCs in biosensing and bioimaging. Firstly, the synthesis methods and surface functionalization methods of TMDCs were summarized. Secondly, according to the working mechanism, we classified and gave a detailed account of the latest research progress of TMDC-based biosensing for the detection of the enzyme, DNA, and other biological molecules. Then, we outlined the recent progress of applying TMDCs in bio-imaging, including fluorescence, X-ray computed tomographic, magnetic response imaging, photographic and multimodal imaging, respectively. Finally, we discussed the future challenges and development direction of the application of TMDCs in medical diagnosis. Also, we put forward our view on the opportunity of TMDCs in the big data of modern medical diagnosis.

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