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Abstract
Quantitative measurement of microRNAs (miRNAs) is extremely important in plenty of biomedical applications especially cancer diagnosis but remains a great challenge. In this work, we developed a logic gate recognition biosensing platform based on the "trinity" molecular recognition mode for quantifying miRNAs with a detection limit of 4.48 aM, along with a linear range from 0.1 nM to 10 aM under optimal experimental conditions. In order to obtain excellent detection performance, we adopted a Zn(TCPP) photocatalytic electron transfer reversible addition-fragmentation chain transfer (PET-RAFT) polymerization signal amplification strategy. The light-induced PET-RAFT has developed green applications of free radical polymerization in the field of biosensors. This is the first report on the preparation of signal amplification biosensors using PET-RAFT for tumor marker detection. With the outstanding detection performance, we can apply the sensor system to the early screening of lung cancer patients.
Published Version
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