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Peyman Servati

University of British Columbia (UBC) - Department of Electrical and Computer Engineering

Vancouver

Canada

  • University of British Columbia (UBC) - Department of Electrical and Computer Engineering

SCHOLARLY PAPERS

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Scholarly Papers (2)

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1.

Mn, B, N Co-Doped Graphene Quantum Dots for Fluorescence Sensing and Biological Imaging

Number of pages: 26 Posted: 19 Nov 2021
Bingyang Li, Xiao Xiao, Menglei Hu, Yanxin Wang, Yiheng Wang, Xianhang Yan, Zhenzhen Huang, Peyman Servati, Linjun Huang and Jianguo Tang
Qingdao University - Institute of Hybrid Materials, Tsinghua University - Shenzhen Geim Graphene Center, affiliation not provided to SSRN, Qingdao University - Institute of Hybrid Materials, Qingdao University - Institute of Hybrid Materials, Qingdao University - Institute of Hybrid Materials, Qingdao University - Institute of Hybrid Materials, University of British Columbia (UBC) - Department of Electrical and Computer Engineering, Qingdao University - Institute of Hybrid Materials and Qingdao University - Institute of Hybrid Materials
Downloads 50 (1,063,489)

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Graphene Quantum Dots, Fluorescence Sensors, Biological Imaging, High Selectivity

2.

Mn, B, N Co-Doped Graphene Quantum Dots for Fluorescence Sensing and Biological Imaging

Number of pages: 26 Posted: 26 Nov 2021
Bingyang Li, Xiao Xiao, Menglei Hu, Yanxin Wang, Yiheng Wang, Xianhang Yan, Zhenzhen Huang, Peyman Servati, Linjun Huang and Jianguo Tang
Qingdao University - Institute of Hybrid Materials, Tsinghua University - Shenzhen Geim Graphene Center, affiliation not provided to SSRN, Qingdao University - Institute of Hybrid Materials, Qingdao University - Institute of Hybrid Materials, Qingdao University - Institute of Hybrid Materials, Qingdao University - Institute of Hybrid Materials, University of British Columbia (UBC) - Department of Electrical and Computer Engineering, Qingdao University - Institute of Hybrid Materials and Qingdao University - Institute of Hybrid Materials
Downloads 34 (1,277,121)

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graphene quantum dots, fluorescence sensors, biological imaging, high selectivity