Equipment-free and visual detection of multiple biomarkers via an aggregation induced emission luminogen-based paper biosensor
Equipment-free and visual detection of multiple biomarkers via an aggregation induced emission luminogen-based paper biosensor
复制标题
通过基于聚集诱导发射发光剂的纸质生物传感器对多种生物标记物进行无设备视觉检测
DOI:
10.1016/j.bios.2020.112336
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发表时间:
2020-10-01
影响因子:
12.6
通讯作者:
Li, Feng
中科院分区:
文献类型:
--
作者:
Li, Haiyin;Lin, Haiyang;Li, Feng
Early and accurate disease diagnosis is of great appeal for saving patients' life, but requires biomarkers to be sensitively detected with simplicity, convenience, and low cost. Exploring the development of a high-performance fluorescence biosensor for biomarkers solid, equipment-free and visual biosensing is highly urgent but faces enormous challenges. Herein, we proposed a brand-new fluorescence system by integrating a typical aggregation induced emission dye (TPE-BTD) with dopamine for multiple biomarkers sensitive detection based on target-induced catalyzing oxidation. The system comprising TPE-BTD and dopamine emits strong fluorescence; with horseradish peroxidase (HRP) or HRP-mimicking DNAzyme and H2O2 being added, significant oxidation on dopamine occurs to generate dopachrome, which actuated the inner filter effect (IFE) due to the overlap of its absorbtion curve and emission spectrum of TPE-BTD, subsequently decreasing fluorescence emission and displaying a rapid and sensitive response to H2O2 and G-quadruplex DNA. We further apply TPE-BTD/dopamine system in analysis of glucose and DNA adenine methylation methyltransferase (Dam MTase) based on target-initiated signal transduction. Finally, TPE-BTD was employed as emitters in fabrication of paper biosensors, which can achieve solid, equipment-free and visual detection of multiple biomarkers based on the high emission performance of TPE-BTD, opening up a new pathway to development of biosensors for practical application. We expect this sensing conception will be helpful in development of practical biosensors, and this sensor will find more applications in disease diagnosis.