Spatial barcoding-enabled highly multiplexed immunoassay with digital microfluidics

微流控 免疫分析 多路复用 分析物 多路复用 纳米技术 材料科学 数字微流体 化学 计算机科学 色谱法 生物信息学 光电子学 生物 抗体 电信 电介质 免疫学 电润湿
作者
Huibing Li,Xianming Liu,Fengjiao Zhu,Dachuan Ma,Chunyue Miao,Haoran Su,Jiu Deng,Haiyue Ye,Hongyu Dong,Xue Bai,Yong Luo,Bingcheng Lin,Tingjiao Liu,Yao Lu
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:215: 114557-114557 被引量:22
标识
DOI:10.1016/j.bios.2022.114557
摘要

Digital microfluidics (DMF), facilitating independent manipulation of microliter samples, provides an ideal platform for immunoassay detection; however, suffering limited multiplexity. To address the need, herein we described a digital microfluidics (DMF) platform that realizes spatial barcoding on the Teflon-coated indium tin oxide (ITO) glass side to fulfill highly multiplexed immunoassay (10+) with low-volume samples (∼4 μL) in parallel, representing the highest multiplexing recorded to date for DMF-actuated immunoassay. Planar-based spatial immobilization of multiple capture antibodies was realized on a Teflon-coated ITO glass side, which was then used as the top plate of the DMF device. Droplets containing analytes, secondary antibodies, and fluorescent signaling reporters with low volume, which were electrically manipulated by our DMF control system, were shuttled sequentially along the working electrodes to complete the immuno-reaction. Evaluation of platform performance with recombinant proteins showed excellent sensitivity and reproducibility. To test the feasibility of our platform in analyzing multiplex biomarkers of the immune response, we used lipopolysaccharide-stimulated macrophages as a model system for protein secretion dynamics studies. As a result, temporal profiling of pro-inflammatory cytokine secretion dynamics was obtained. The spatial barcoding strategy presented here is easy-to-operate to enable a more comprehensive evaluation of protein abundance from biological samples, paving the way for new opportunities to realize multiplexity-associated applications with the DMF platform.
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