Bioengineering Program, The University of Kansas, Lawrence, Kansas 66045, United States.
Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.
Anal Chem. 2023 Jul 4;95(26):9892-9900. doi: 10.1021/acs.analchem.3c00855. Epub 2023 Jun 19.
We present a chip-based extended nano-Coulter counter (XnCC) that can detect nanoparticles affinity-selected from biological samples with low concentration limit-of-detection that surpasses existing resistive pulse sensors by 2-3 orders of magnitude. The XnCC was engineered to contain 5 in-plane pores each with an effective diameter of 350 nm placed in parallel and can provide high detection efficiency for single particles translocating both hydrodynamically and electrokinetically through these pores. The XnCC was fabricated in cyclic olefin polymer (COP) via nanoinjection molding to allow for high-scale production. The concentration limit-of-detection of the XnCC was 5.5 × 10 particles/mL, which was a 1,100-fold improvement compared to a single in-plane pore device. The application examples of the XnCC included counting affinity selected SARS-CoV-2 viral particles from saliva samples using an aptamer and pillared microchip; the selection/XnCC assay could distinguish the COVID-19(+) saliva samples from those that were COVID-19(-). In the second example, ovarian cancer extracellular vesicles (EVs) were affinity selected using a pillared chip modified with a MUC16 monoclonal antibody. The affinity selection chip coupled with the XnCC was successful in discriminating between patients with high grade serous ovarian cancer and healthy donors using blood plasma as the input sample.
我们提出了一种基于芯片的扩展纳米库尔特计数器 (XnCC),它可以从低浓度的生物样本中检测到经过亲和力选择的纳米颗粒,其检测限比现有电阻脉冲传感器高出 2-3 个数量级。XnCC 被设计成包含 5 个平面孔,每个孔的有效直径为 350nm,平行放置,可以为通过这些孔进行水力和电动迁移的单个粒子提供高检测效率。XnCC 通过纳米注塑成型在环烯烃聚合物 (COP) 中制造,以实现大规模生产。XnCC 的浓度检测限为 5.5×10 个颗粒/mL,与单个平面孔器件相比提高了 1100 倍。XnCC 的应用实例包括使用适体从唾液样本中计数亲和选择的 SARS-CoV-2 病毒颗粒,以及 pillared 微芯片;选择/XnCC 测定法可以区分 COVID-19(+)唾液样本和 COVID-19(-)唾液样本。在第二个实例中,使用修饰有 MUC16 单克隆抗体的支柱芯片对卵巢癌细胞外囊泡 (EVs) 进行亲和选择。亲和选择芯片与 XnCC 结合,成功地使用血浆作为输入样本区分了高级别浆液性卵巢癌患者和健康供体。