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一种用于检测皮克级蛋白质分析物的无区室微流控数字分析法。

A compartmentalization-free microfluidic digital assay for detecting picogram levels of protein analytes.

作者信息

Le Nguyen H, Sathishkumar N, Salari Alinaghi, Manning Ryan, Meyer Raymond E, Kan Cheuk W, Wiener Alexander D, Rossotti Martin A, Decombe Sheldon, de Campos Richard P S, Chamberlain M Dean, Tanha Jamshid, Pollock Nira R, Duffy David C, Wheeler Aaron R

机构信息

Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, ON M5S 3H6, Canada.

Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada.

出版信息

Lab Chip. 2025 May 12. doi: 10.1039/d5lc00103j.

Abstract

Digitalizing the signals generated from single protein molecules has significantly improved the sensitivity of immunoassays compared to traditional analog "bulk" measurements. The single molecule array (Simoa) technology, for instance, leverages counting of single molecules on magnetic beads to detect low-abundance proteins in biofluids. While existing digital detection platforms are ultra-sensitive, they typically require compartmentalization and complex and bulky analysis equipment, limiting their applicability in resource-limited settings. Here, we introduce a compartmentalization-free digital detection technique, that allows for much more straightforward detection analysis. We applied this method to a model assay for detecting the SARS-CoV-2 spike protein and compared its performance to alternative techniques. We optimized the new method for digital microfluidics and present preliminary results using an automated system to analyze undiluted human saliva samples, with imaging performed on a portable optical system. We propose that future iterations of the scheme introduced here have the potential to enable a wide range of applications beyond the laboratory.

摘要

与传统的模拟“整体”测量相比,将单个蛋白质分子产生的信号数字化显著提高了免疫测定的灵敏度。例如,单分子阵列(Simoa)技术利用对磁珠上单个分子的计数来检测生物流体中的低丰度蛋白质。虽然现有的数字检测平台具有超高灵敏度,但它们通常需要进行分隔以及复杂且笨重的分析设备,这限制了它们在资源有限环境中的适用性。在此,我们引入一种无需分隔的数字检测技术,该技术可实现更为直接的检测分析。我们将此方法应用于检测SARS-CoV-2刺突蛋白的模型测定,并将其性能与其他技术进行比较。我们对数字微流控的新方法进行了优化,并展示了使用自动化系统分析未稀释人类唾液样本的初步结果,成像在便携式光学系统上进行。我们认为,此处介绍的方案的未来迭代有潜力实现实验室之外的广泛应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d208/12067047/81277e0914dd/d5lc00103j-f1.jpg

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