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              測量應用案例-20201209

              發布時間:2020-12-26  點擊次數:69  新聞來源:
               

              文獻名: Etching-controlled suppression of fluorescence resonance energy transfer between nitrogen-doped carbon dots and Ag nanoprisms for glucose assay and diabetes diagnosis

               

              作者 Yi Wanga, Chaoqin Hana, Lan Yua, Jiangling Wuc, Yuanhong Mina, Juan Tana, Yannan Zhaob, Pu Zhangb

              a

              Engineering Research Center for Biotechnology of Active Substances, Ministry of Education, Chongqing Key Laboratory of Green Synthesis and Applications, College of Chemistry, Chongqing Normal University, Chongqing 401331, China

              b

              Chongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing 400016, PR China

              c

              Department of Clinical Laboratory, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China

               

               

              摘要:Numerous methods have been developed for glucose detection, only few cases can be really applied in clinical diagnosis. Herein, we report a new approach to achieve the detection of glucose in clinical samples and distinguishing the diabetic patients with healthy ones. Specifically, a fluorescence resonance energy transfer (FRET) system is established first, where nitrogen-doped carbon dots (N-CDs) and Ag nanoprisms (AgNPRs) with good spectral overlap act as energy donor and acceptor, respectively. Then, the FRET can be inhibited through oxidative etching of the energy acceptor in the presence of glucose and glucose oxidase, where hydrogen peroxide is generated to transform AgNPRs into Ag+ ions. Based on the turn-on fluorescent signal versus glucose concentration, a new method for quantitative detection of glucose is developed. This etching-induced analytical method is simple, reliable, robust and cost-effective, which is promising to assist the doctors to clinically diagnose diabetes and other diseases related to metabolic disorders.

               
               
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