化学
分析物
检出限
荧光
荧光染料
RGB颜色模型
信号(编程语言)
核酸外切酶 III
灵敏度(控制系统)
纳米技术
色谱法
实时聚合酶链反应
计算机科学
材料科学
光学
人工智能
生物化学
基因
程序设计语言
物理
大肠杆菌
电子工程
工程类
作者
Yanli Zhu,Jikai Wang,Haitao Xie,Chengxiao Fu,Jiecan Zhou,Hailing Liu,Pengfei Zeng,Yiyang Sun
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2022-07-13
卷期号:94 (29): 10451-10461
被引量:19
标识
DOI:10.1021/acs.analchem.2c01649
摘要
The simultaneous analysis of diversified biomarkers with high sensitivity and in a point-of-care (POC) manner is of great significance for facile and early cancer diagnosis. Herein, we develop a target amplification-assisted ratiometric fluorescence assay (TARFA) platform integrating the dual-amplification strategy and colorimetric readout technology for sensitive and specific detection of two malignancy-associated biomarkers. Meanwhile, the NIR-excited alkaline-earth sulfide nanodots (ASNDs) with an ultrasmall (<10 nm) diameter and tunable emission wavelength are employed to replace commonly UV/visible light-excited fluorescent labels to minimize background interference from the sample matrix. Unique advantages of the ASNDs, together with superiority of consecutive signal amplification of enzymatic target recycling (ETR) and hybridization chain reaction (HCR), realize the pg/mL-range detection limit in specifically recognizing the vascular endothelial growth factor (VEGF) and soluble interleukin-6 receptors (sIL-6R). The combination detection of the dual analyte exhibits an improved sensitivity for cancer diagnosis. The addition of the target biomarkers leads to an increasingly ratiometric RGB signal, and quantification based on the ratio-dependent signal is more reliable rather than measuring the absolute RGB signals. Moreover, perceptible color transformation makes the TARFA platform competent for visual analysis of the target analytes as convenient as reading the pH indicator strip, and hue-based image analysis also improves the method with fine precision by quantitatively identifying the visual color. This work provides a new kind of NIR-excited aptasensing platform with a low detection limit, high throughput, and great portability, which also highlights the potential of the ASNDs in biomolecular fluorescent labeling.
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