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基于便携化学发光的侧向流分析平台用于检测人血清中的皮质醇。

Portable Chemiluminescence-Based Lateral Flow Assay Platform for the Detection of Cortisol in Human Serum.

机构信息

School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea.

出版信息

Biosensors (Basel). 2021 Jun 10;11(6):191. doi: 10.3390/bios11060191.

Abstract

In this study, we developed the portable chemiluminescence (CL)-based lateral flow assay (LFA) platform for the detection of cortisol in human serum. Cortisol is well-known as a stress hormone due to its high relevancy for human mental and physical health, such as hypertension or depression. To date, a number of optical devices have provided the sensitive determination of levels of analytes. However, this modality type still requires costly optical modules. The developed CL platform is simply composed of two detection modules along with a loading part for the LFA strip. The LFA membrane contains gold nanoparticle probes conjugated with antibodies against cortisol and horseradish peroxidase (HRP), which can also efficiently increase the luminescent signal by providing many areas for anti-cortisol antibody and HRP. The measured voltage signals coming from the photodiode in a CL reader were compared with a standard microplate reader for the evaluation of accuracy. The linear range observed for cortisol was measured to be 0.78-12.5 μg/dL (R = 0.99) with a limit of detection (LOD) of 0.342 μg/dL. In addition, the CL-LFA reader showed a high correlation (R = 0.96) with the standard cortisol console (COBAS 8000, Roche), suggesting that our developed CL-based LFA platform can be usable in situ.

摘要

在这项研究中,我们开发了一种基于化学发光(CL)的便携式侧向流动分析(LFA)平台,用于检测人血清中的皮质醇。皮质醇是一种众所周知的应激激素,因为它与人的身心健康高度相关,如高血压或抑郁症。迄今为止,许多光学设备已经提供了对分析物水平的敏感测定。然而,这种模式类型仍然需要昂贵的光学模块。开发的 CL 平台仅由两个检测模块以及用于 LFA 条带的加载部分组成。LFA 膜包含与针对皮质醇的抗体和辣根过氧化物酶(HRP)偶联的金纳米颗粒探针,它还可以通过为抗皮质醇抗体和 HRP 提供许多区域来有效地增加发光信号。通过 CL 读取器中的光电二极管获得的测量电压信号与标准微孔板读取器进行比较,以评估准确性。用标准微板读取器评估了皮质醇的线性范围为 0.78-12.5 μg/dL(R = 0.99),检测限(LOD)为 0.342 μg/dL。此外,CL-LFA 读取器与标准皮质醇控制台(罗氏 COBAS 8000)表现出高度相关性(R = 0.96),表明我们开发的基于 CL 的 LFA 平台可以在现场使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45b8/8226682/332d57c605bf/biosensors-11-00191-g001a.jpg

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