Xiaohong Liu, Dandan Xu, Luna Guo, Weiling Song, Hong Zhou, Deshan Liu
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引用次数: 0
Abstract
The development of accurate and sensitive analytical methods for tumor-associated microRNAs (miRNAs) is of great practical significance for cancer monitoring. Herein, a novel fluorescent biosensor platform for miR-146a was constructed by combining a CsPbBr3@MSN fluorescent probe with strand triggered hairpin assembly amplification (SHA)-driven catalysis-DNAzyme cascade amplification technology. The fluorescent probe was prepared by embedding the CsPbBr3 quantum dots into mesoporous silica nanomaterials (MSN), which provided the stable and strong fluorescence properties, as well as good water solubility. In the presence of miR-146a, SHA was initiated, subsequently activating the DNAzyme to produce fluorescence. The amplification process in this assay was enzyme-free and only requires magnetic separation, thereby reducing the experimental cost. As a result, the detection limit of miR-146a reached 3.78 fM, with a linear range of 5 fM-50 nM. In addition, the developed fluoresence sensor demonstrated outstanding selectivity, reproducibility, stability, and recoveries (96.93-112%) in real sample analysis, making it promising for biological research and early disease diagnosis.
期刊介绍:
Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.