机构:[a]School of Chemical Science and Technology, Yunnan University, Kunming 650091, PR China[b]The First Affiliated Hospital of Kunming Medical University, Kunming 650032, PR China昆明医科大学附属第一医院[c]Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming 650091, PR China
Competitive host-guest recognition has been utilized to determine small molecules using macrocyclic supra molecular host, while less studies focused on the specific recognition and sensing of protein. In the present work, we are the first time to report a label-free fluorescent assay for insulin determination based on the supramolecular recognition between cationic pillar[6]arene (CP6) and insulin. The approach is based on fluorescence resonance energy transfer (FRET) through competitive recognition between CP6 functionalized reduced graphene oxide (CP6@rGO) and probe/insulin molecules. Probe molecule (RhB) has strong fluorescent signal, and its fluorescent is quenched by rGO based on FRET. When target protein molecule (insulin) is added to CP6@rGO, the probe is displaced by insulin and a host-guest complex CP6@rGO/insulin is formed, resulting in a "turn-on" fluorescence signal. The fluorescence intensity of complex increased linearly with the increase of insulin concentration ranging 0.01-0.50 and 1.0-16.0 mu M, respectively with a detection limit of 3 nM. The sensor was successfully utilized to determine insulin in artificial serum. The molecular docking result showed that the N-terminal Phe of insulin's B chain was included in the CP6 cavity through electrostatic interaction and formed a stable host-guest complex.
基金:
This work was financially supported by the National Natural Science
Foundation of China (21764005, 21565029), Key Projects of Yunnan
Natural Science Foundation (2018FA005), Key Research and
Development Projects of Yunnan (2018BC005), Program for Excellent
Young Talents of Yunnan University (WX069051) and the Program for
Donglu Scholars of Yunnan University (C176240209).
第一作者机构:[a]School of Chemical Science and Technology, Yunnan University, Kunming 650091, PR China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
Shuang Tan,Rui Han,Shilian Wu,et al.A novel fluorescent sensing platform for insulin detection based on competitive recognition of cationic pillar[6]arene[J].TALANTA.2019,197:130-137.doi:10.1016/j.talanta.2019.01.004.
APA:
Shuang Tan,Rui Han,Shilian Wu,Huan Liang,Yuting Zhao...&Can-Peng Li.(2019).A novel fluorescent sensing platform for insulin detection based on competitive recognition of cationic pillar[6]arene.TALANTA,197,
MLA:
Shuang Tan,et al."A novel fluorescent sensing platform for insulin detection based on competitive recognition of cationic pillar[6]arene".TALANTA 197.(2019):130-137