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用于实现灵敏快速生物标志物检测的渗透处理器 侧向流动分析

Osmotic Processor for Enabling Sensitive and Rapid Biomarker Detection Lateral Flow Assays.

作者信息

Chen Sheng-You, Wu Abe Y, Lunde Ruby, Lai James J

机构信息

Department of Mechanical Engineering, University of Washington, Seattle, WA, United States.

Department of Bioengineering, University of Washington, Seattle, WA, United States.

出版信息

Front Bioeng Biotechnol. 2022 Jun 1;10:884271. doi: 10.3389/fbioe.2022.884271. eCollection 2022.

Abstract

Urine is an attractive biospecimen for diagnostics, and urine-based lateral flow assays are low-cost devices suitable for point-of-care testing, particularly in low-resource settings. However, some of the lateral flow assays exhibit limited diagnostic utility because the urinary biomarker concentration is significantly lower than the assay detection limit, which compromises the sensitivity. To address the challenge, we developed an osmotic processor that statically and spontaneously concentrated biomarkers. The specimen in the device interfaces with the aqueous polymer solution via a dialysis membrane. The polymer solution induces an osmotic pressure difference that extracts water from the specimen, while the membrane retains the biomarkers. The evaluation demonstrated that osmosis induced by various water-soluble polymers efficiently extracted water from the specimens, ca. 5-15 ml/h. The osmotic processor concentrated the specimens to improve the lateral flow assays' detection limits for the model analytes-human chorionic gonadotropin and SARS-CoV-2 nucleocapsid protein. After the treatment via the osmotic processor, the lateral flow assays detected the corresponding biomarkers in the concentrated specimens. The test band intensities of the assays with the concentrated specimens were very similar to the reference assays with 100-fold concentrations. The mass spectrometry analysis estimated the SARS-CoV-2 nucleocapsid protein concentration increased ca. 200-fold after the osmosis. With its simplicity and flexibility, this device demonstrates a great potential to be utilized in conjunction with the existing lateral flow assays for enabling highly sensitive detection of dilute target analytes in urine.

摘要

尿液是一种用于诊断的有吸引力的生物样本,基于尿液的侧向流动分析是适用于即时检测的低成本设备,特别是在资源匮乏的环境中。然而,一些侧向流动分析的诊断效用有限,因为尿液生物标志物浓度显著低于分析检测限,这影响了灵敏度。为应对这一挑战,我们开发了一种能静态自发浓缩生物标志物的渗透处理器。该设备中的样本通过透析膜与水性聚合物溶液接触。聚合物溶液会产生渗透压差异,从样本中提取水分,而透析膜则保留生物标志物。评估表明,各种水溶性聚合物诱导的渗透作用能有效地从样本中提取水分,约为5 - 15毫升/小时。渗透处理器对样本进行浓缩,以提高侧向流动分析对模型分析物——人绒毛膜促性腺激素和新冠病毒核衣壳蛋白的检测限。经渗透处理器处理后,侧向流动分析能检测到浓缩样本中的相应生物标志物。使用浓缩样本的分析测试条强度与使用浓度高100倍的参考分析非常相似。质谱分析估计,渗透后新冠病毒核衣壳蛋白浓度增加了约200倍。该设备操作简单且灵活,与现有的侧向流动分析结合使用,在高灵敏度检测尿液中稀释的目标分析物方面显示出巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce21/9199386/0a3af7f609bd/fbioe-10-884271-g005.jpg

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