Encoding Microreactors with Droplet Chains in Microfluidics,ACS Sensors

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Encoding Microreactors with Droplet Chains in Microfluidics
ACS Sensors ( IF 8.2 ) Pub Date : 2017-12-13 00:00:00 , DOI: 10.1021/acssensors.7b00700
Wenya Song ₁ , Gungun Lin _{1,

2} , Jin Ge ₁ , Jürgen Fassbender _{1,

3} , Denys Makarov ₁

Affiliation

Droplet-based high throughput biomolecular screening and combinatorial synthesis entail a viable indexing strategy to be developed for the identification of each microreactor. Here, we propose a novel indexing scheme based on the generation of droplet sequences on demand to form unique encoding droplet chains in fluidic networks. These codes are represented by multiunit and multilevel droplets packages, with each code unit possessing several distinct signal levels, potentially allowing large encoding capacity. For proof of concept, we use magnetic nanoparticles as the encoding material and a giant magnetoresistance (GMR) sensor-based active sorting system supplemented with an optical detector to generate and decode the sequence of one exemplar sample droplet reactor and a 4-unit quaternary magnetic code. The indexing capacity offered by 4-unit multilevel codes with this indexing strategy is estimated to exceed 10⁴, which holds great promise for large-scale droplet-based screening and synthesis.

中文翻译：

在微流控中用液滴链编码微反应器

基于液滴的高通量生物分子筛选和组合合成需要一种可行的索引策略，用于识别每个微反应器。在这里，我们提出了一种新颖的索引方案，该方案基于按需生成液滴序列以在流体网络中形成唯一的编码液滴链。这些代码由多单元和多级液滴封装表示，每个代码单元拥有几个不同的信号电平，从而有可能实现较大的编码能力。为了验证概念，我们使用磁性纳米粒子作为编码材料，并使用基于巨磁阻（GMR）传感器的有源分选系统，并辅以光学检测器，以生成和解码一个示例性样品液滴反应器和一个4单元四级磁性分子的序列。代码。^参见图4，其对于大规模基于液滴的筛选和合成具有广阔的前景。

更新日期：2017-12-13

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