化学
微流控
检出限
水溶液中的金属离子
荧光
Mercury(编程语言)
适体
微流控芯片
炸薯条
砷
实验室晶片
纳米技术
色谱法
金属
材料科学
计算机科学
电信
物理
有机化学
生物
遗传学
程序设计语言
量子力学
作者
Min Yuan,Chen Li,Yuzhu Zheng,Hui Cao,Tai Ye,Xiuxiu Wu,Liling Hao,Fengqin Yin,Jinsong Yu,Fei Xu
出处
期刊:Talanta
[Elsevier]
日期:2023-08-23
卷期号:266: 125112-125112
被引量:15
标识
DOI:10.1016/j.talanta.2023.125112
摘要
Due to the excessive contamination of heavy metals pollution, it is very urgent and necessary to develop a real-time detection method for the heavy metals in food. As a target sensing device, a paper-based microfluidic device (μPAD) has the advantages of simplicity, low-cost, and portability. In this study, a self-driven microfluidic paper-based chip was first developed for the simultaneous detection of four targets. The channels on the microfluidic chip were prepared by using wax printing and automatic screen printing on the filter paper, where liquid flowed by capillary force without pump assistance. Based on the specific binding ability of aptamers to heavy metals, a "turn-on" fluorescence aptasensor for the simultaneous detection of four heavy metal ions was developed on the proposed multi-channel device via smartphone imaging. The obtained fluorescence images were digitized into RGB color values by Image J software, and an M-mode was established to realize the quantitative detection of heavy metal ions. Under optimal conditions, the limits of detection for lead(II), mercury(II), cadmium(II), and arsenic(III) were 4.20 nM, 1.70 nM, 2.04 nM, and 1.65 nM, respectively. Furthermore, the aptasensor was successfully applied to the quantitative detection of four heavy metal ions in apple and lettuce samples with recovery rates of 84.0%–104.1%.
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