晶体管
电极
生物传感器
检出限
纳米技术
材料科学
唾液
病毒
信号(编程语言)
光电子学
微流控
甲型流感病毒
化学
电化学
计算机科学
实验室晶片
2019年冠状病毒病(COVID-19)
病毒学
可扩展性
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
CMOS芯片
临床诊断
样品(材料)
继电器
作者
Tianrui Chang,Yuxiang Ren,Shofarul Wustoni,Atheer Alqatari,Adel Hama,Yazhou Wang,Long Chen,Jessica Zuleima Parrado-Agudelo,Luca Salvigni,Keying Guo,Ashraf M. Dada,Stefan T. Arold,Raik Grünberg,Sahika Inal
标识
DOI:10.1002/advs.202519839
摘要
Timely and accurate diagnosis of respiratory infections is complicated by the symptomatic overlap between highly transmissible pathogens such as respiratory syncytial virus (RSV), influenza A (IAV), and influenza B (IBV), highlighting the need for rapid and reliable diagnostics. Here, we report a time-multiplexed nanobody-functionalized organic electrochemical transistor (OECT) biosensor for the sensitive detection of RSV, IAV, and IBV directly from unprocessed saliva samples. The platform integrates arrays of nanobody-functionalized gate electrodes that are exposed in parallel to a single sample and sequentially addressed through a shared transistor channel. We characterize nine previously reported nanobodies and immobilize the best-performing ones using an oriented SpyDirect self-assembly strategy. The nanobody-functionalized gate electrodes are paired with a high-performance p-type organic mixed ionic-electronic conductor channel, enabling efficient signal transduction. The sensor achieves a limit of detection of ca. 1 fm and identifies viral targets within 15 min, without sample preprocessing. In a clinical validation using 17 samples, the platform demonstrated 100% specificity, 86.7% sensitivity, and 88.2% overall accuracy. By combining highly specific nanobodies, a high-gain transducer, customized surface pre-treatment, and a time-multiplexed multi-gate architecture, this approach provides a scalable and user-friendly platform for point-of-care virus detection.
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