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基于聚多巴胺纳米粒子的三线侧向流动免疫分析法用于 COVID-19 检测。

Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection.

机构信息

Department of Rehabilitation Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.

The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.

出版信息

Biosensors (Basel). 2023 Mar 6;13(3):352. doi: 10.3390/bios13030352.

Abstract

Currently, the global trend of several hundred thousand new confirmed COVID-19 patients per day has not abated significantly. Serological antibody detection has become an important tool for the self-screening of people. While the most commonly used colorimetric lateral flow immunoassay (LFIA) methods for the detection of COVID-19 antibodies are limited by low sensitivity and a lack of quantification ability. This leads to poor accuracy in the screening of early COVID-19 patients. Therefore, it is necessary to develop an accurate and sensitive autonomous antibody detection technique that will effectively reduce the COVID-19 infection rate. Here, we developed a three-line LFIA immunoassay based on polydopamine (PDA) nanoparticles for COVID-19 IgG and IgM antibodies detection to determine the degree of infection. The PDA-based three-line LFIA has a detection limit of 1.51 and 2.34 ng/mL for IgM and IgG, respectively. This assay reveals a good linearity for both IgM and IgG antibodies detection and is also able to achieve quantitative detection by measuring the optical density of test lines. In comparison, the commercial AuNP-based LFIA showed worse quantification results than the developed PDA-based LFIA for low-concentration COVID-19 antibody samples, making it difficult to distinguish between negative and positive samples. Therefore, the developed PDA-based three-line LFIA platform has the accurate quantitative capability and high sensitivity, which could be a powerful tool for the large-scale self-screening of people.

摘要

目前,每天新增数万例新冠确诊病例的全球趋势并未明显缓解。血清学抗体检测已成为人们自我筛查的重要工具。然而,用于检测新冠病毒抗体的最常用比色侧向流动免疫分析(LFIA)方法由于灵敏度低且缺乏定量能力,导致对早期新冠患者的筛查准确性较差。因此,有必要开发一种准确且灵敏的自主抗体检测技术,从而有效降低新冠感染率。在这里,我们开发了一种基于聚多巴胺(PDA)纳米粒子的三线 LFIA 免疫分析法,用于检测新冠 IgG 和 IgM 抗体,以确定感染程度。基于 PDA 的三线 LFIA 对 IgM 和 IgG 的检测限分别为 1.51 和 2.34ng/mL。该测定法对 IgM 和 IgG 抗体的检测均显示出良好的线性关系,并且还可以通过测量测试线的光密度来实现定量检测。相比之下,商业金纳米粒子(AuNP)基 LFIA 对低浓度新冠抗体样本的定量结果比开发的基于 PDA 的 LFIA 差,难以区分阴性和阳性样本。因此,开发的基于 PDA 的三线 LFIA 平台具有准确的定量能力和高灵敏度,可作为大规模人群自我筛查的有力工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c0e/10046468/0f52e5634a9e/biosensors-13-00352-g001.jpg

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