Van Zant Westley, Ray Partha
Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA.
Biosensors (Basel). 2025 Jul 7;15(7):436. doi: 10.3390/bios15070436.
The COVID-19 pandemic and recent viral outbreaks have highlighted the need for viral diagnostics that balance accuracy with accessibility. While traditional laboratory methods remain essential, point-of-care solutions are critical for decentralized testing at the population level. However, a gap persists between academic proof-of-concept studies and clinically viable tools, with novel technologies remaining inaccessible to clinics due to cost, complexity, training, and logistical constraints. Recent advances in surface functionalization, assay simplification, multiplexing, and performance in complex media have improved the feasibility of both optical and non-optical sensing techniques. These innovations, coupled with scalable manufacturing methods such as 3D printing and streamlined hardware production, pave the way for practical deployment in real-world settings. Additionally, software-assisted data interpretation, through simplified readouts, smartphone integration, and machine learning, enables the broader use of diagnostics once limited to experts. This review explores improvements in viral diagnostic approaches, including colorimetric, optical, and electrochemical assays, showcasing their potential for democratization efforts targeting the clinic. We also examine trends such as open-source hardware, modular assay design, and standardized reporting, which collectively reduce barriers to clinical adoption and the public dissemination of information. By analyzing these interdisciplinary advances, we demonstrate how emerging technologies can mature into accessible, low-cost diagnostic tools for widespread testing.
新冠疫情及近期的病毒爆发凸显了对兼顾准确性与可及性的病毒诊断方法的需求。虽然传统实验室方法仍然至关重要,但即时检测解决方案对于在人群层面进行分散式检测至关重要。然而,学术概念验证研究与临床可行工具之间仍存在差距,由于成本、复杂性、培训和后勤限制,诊所无法使用新技术。表面功能化、检测简化、多重检测以及在复杂介质中的性能方面的最新进展提高了光学和非光学传感技术的可行性。这些创新与3D打印等可扩展制造方法以及简化的硬件生产相结合,为在实际环境中的实际部署铺平了道路。此外,通过简化读数、智能手机集成和机器学习实现的软件辅助数据解释,使曾经仅限于专家使用的诊断方法能够得到更广泛的应用。本综述探讨了病毒诊断方法的改进,包括比色法、光学法和电化学检测法,展示了它们在面向临床的普及努力中的潜力。我们还研究了开源硬件、模块化检测设计和标准化报告等趋势,这些趋势共同降低了临床采用和信息公开传播的障碍。通过分析这些跨学科进展,我们展示了新兴技术如何能够成熟为可广泛使用的、低成本的诊断工具,用于大规模检测。