用于即时病毒抗原检测的超灵敏和持久的生物发光免疫分析法

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL
Sungwan Kim, Giwon Cho, Jaebaek Lee, Khushi Doshi, Supriya Gharpure, Jisan Kim, Juyong Gwak, Joseph M. Hardie, Manoj K. Kanakasabapathy, Hemanth Kandula, Prudhvi Thirumalaraju, Younseong Song, Hui Chen, Daniel R. Kuritzkes, Jonathan Z. Li, Athe M. Tsibris, Hadi Shafiee
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引用次数: 0

摘要

生物发光由于其高信噪比和无入射辐射,在诊断中具有显著的前景。然而,当与靶向分子连接时,信号快速衰减和酶活性降低会带来挑战,从而限制了其在即时诊断应用中的可靠性。在这里,我们介绍了基于发光级联的传感器(LUCAS)检测,这是一种酶级联系统,能够检测具有超高灵敏度和长时间生物发光的分析物。利用连续的酶促反应,与传统的生物发光分析相比,我们的分析实现了超过500倍的生物发光信号增加,并保持了8倍的信号持久性改善。我们的系统在便携式全自动设备上实现,专为护理点设置而设计,无需外部电源即可快速(23分钟)对病毒进行样本到答案分析。在177例病毒感染患者样本和130例病毒加标血清样本的定性分类中,包括呼吸道病毒SARS-CoV-2在内的各种病原体以及HIV、HBV和HCV等血源性病原体作为临床模型,其准确率超过94%。卢卡斯的分散化、快速、敏感、专一性和成本效益使其成为低资源环境的可行诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ultrasensitive and long-lasting bioluminescence immunoassay for point-of-care viral antigen detection

Ultrasensitive and long-lasting bioluminescence immunoassay for point-of-care viral antigen detection

Bioluminescence holds notable promise as a modality in diagnostics due to its high signal-to-noise ratio and absence of incident radiation. However, challenges arise from rapid signal decay and reduced enzyme activity when linked to targeting molecules, limiting its reliability in point-of-care diagnostic applications. Here we introduce the luminescence cascade-based sensor (LUCAS) assay, an enzyme cascade system capable of detecting analytes with ultrahigh sensitivity and prolonged bioluminescence. Utilizing a sequential enzymatic reaction, our assay achieves a greater than 500-fold increase in bioluminescence signal and maintains an 8-fold improvement in signal persistence compared to conventional bioluminescence assays. Implemented on a portable, fully automated device designed for point-of-care settings, our system facilitates rapid (<23 min) sample-to-answer analysis of viruses without an external power supply. Its accuracy surpasses 94% in the qualitative classification of 177 viral-infected patient samples and 130 viral-spiked serum samples, various pathogens including the respiratory virus SARS-CoV-2, and blood-borne pathogens such as HIV, HBV and HCV as clinical models. The decentralized, rapid, sensitive, specific and cost-effective nature of LUCAS positions it as a viable diagnostic tool for low-resource environments.

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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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