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Utilizing an Automated SERS-Digital Microfluidic System for High-Throughput Detection of Explosives
ACS Sensors ( IF 8.2 ) Pub Date : 2023-03-22 , DOI: 10.1021/acssensors.3c00012 Wei Liu 1, 2, 3 , Zihan Wang 1, 2, 3 , Zhongping Liu 1 , Junxue Chen 4 , Lingyan Shi 1, 2, 3 , Longjin Huang 1, 2, 3 , Yu Liu 1 , Sheng Cui 2, 3 , Xuan He 1
ACS Sensors ( IF 8.2 ) Pub Date : 2023-03-22 , DOI: 10.1021/acssensors.3c00012 Wei Liu 1, 2, 3 , Zihan Wang 1, 2, 3 , Zhongping Liu 1 , Junxue Chen 4 , Lingyan Shi 1, 2, 3 , Longjin Huang 1, 2, 3 , Yu Liu 1 , Sheng Cui 2, 3 , Xuan He 1
Affiliation
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The surface-enhanced Raman scattering (SERS) technique is a promising method for the detection of explosives such as 2,4,6-trinitrotoluene (TNT) and 3-nitro-1,2,4-triazol-5-one (NTO) because of its high sensitivity to trace substances. However, most SERS detection processes are often nonautomated as well as exhibit low efficiency and toxic exposure, which often poses potential danger to operators. Herein, we propose the integration of SERS with digital microfluidics (SERS-DMF) for automated, high-throughput, and high-sensitivity detection of explosives. First, we carefully designed a DMF chip comprising 40 drive electrodes and 8 storage electrodes to achieve a high-throughput process. And different concentrations of target molecules, silver nanoparticles (Ag NPs), and salts were loaded into the DMF chip. Then, the droplet aggregation, incubation, and detection processes were automatically controlled using the SERS-DMF platform. In addition, Ag NPs were efficiently aggregated by screening different types and concentrations of salts, resulting in “hotspots” and the SERS effect. With the help of the SERS-DMF platform, two explosive samples were automatically detected with high throughput and high sensitivity. The detection limits of TNT and NTO were 10–7 and 10–8 M, respectively. In addition, compared with nonautomatic operations, the SERS-DMF platform exhibited better reproducibility and higher efficiency for the detection of explosives. The proposed SERS-DMF thus has considerable potential as an analytical technique for detecting hazardous substances.
中文翻译：
利用自动化 SERS 数字微流体系统进行爆炸物的高通量检测
表面增强拉曼散射 (SERS) 技术是一种很有前途的检测爆炸物的方法，例如 2,4,6-三硝基甲苯 (TNT) 和 3-nitro-1,2,4-triazol-5-one (NTO)因为它对微量物质具有很高的敏感性。然而，大多数 SERS 检测过程通常是非自动化的，并且表现出低效率和有毒暴露，这常常对操作员构成潜在危险。在此，我们建议将 SERS 与数字微流体 (SERS-DMF) 相结合，以实现爆炸物的自动化、高通量和高灵敏度检测。首先，我们精心设计了一个包含 40 个驱动电极和 8 个存储电极的 DMF 芯片，以实现高通量工艺。并将不同浓度的目标分子、银纳米粒子 (Ag NPs) 和盐加载到 DMF 芯片中。然后，液滴聚集，孵育，和检测过程使用 SERS-DMF 平台自动控制。此外，通过筛选不同类型和浓度的盐，Ag NPs 可以有效聚集，从而产生“热点”和 SERS 效应。借助SERS-DMF平台，高通量、高灵敏度地自动检测了两个爆炸物样品。TNT和NTO的检出限为10分别为–7和 10 –8 M。此外，与非自动操作相比，SERS-DMF平台在检测爆炸物方面表现出更好的重现性和更高的效率。因此，所提出的 SERS-DMF 作为一种检测有害物质的分析技术具有相当大的潜力。
更新日期：2023-03-22
中文翻译：
利用自动化 SERS 数字微流体系统进行爆炸物的高通量检测
表面增强拉曼散射 (SERS) 技术是一种很有前途的检测爆炸物的方法，例如 2,4,6-三硝基甲苯 (TNT) 和 3-nitro-1,2,4-triazol-5-one (NTO)因为它对微量物质具有很高的敏感性。然而，大多数 SERS 检测过程通常是非自动化的，并且表现出低效率和有毒暴露，这常常对操作员构成潜在危险。在此，我们建议将 SERS 与数字微流体 (SERS-DMF) 相结合，以实现爆炸物的自动化、高通量和高灵敏度检测。首先，我们精心设计了一个包含 40 个驱动电极和 8 个存储电极的 DMF 芯片，以实现高通量工艺。并将不同浓度的目标分子、银纳米粒子 (Ag NPs) 和盐加载到 DMF 芯片中。然后，液滴聚集，孵育，和检测过程使用 SERS-DMF 平台自动控制。此外，通过筛选不同类型和浓度的盐，Ag NPs 可以有效聚集，从而产生“热点”和 SERS 效应。借助SERS-DMF平台，高通量、高灵敏度地自动检测了两个爆炸物样品。TNT和NTO的检出限为10分别为–7和 10 –8 M。此外，与非自动操作相比，SERS-DMF平台在检测爆炸物方面表现出更好的重现性和更高的效率。因此，所提出的 SERS-DMF 作为一种检测有害物质的分析技术具有相当大的潜力。
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