Li Hengxuan, Fu Xiaoyi, You Qimin, Shi Dawei, Su Lingxuan, Song Minghui, Peng Ruizi, Fu Ting, Wang Peng, Tan Weihong
Medical School, Faculty of Medicine, Tianjin University, Tianjin 300072, P. R. China.
Zhejiang Cancer Hospital, The Key Laboratory of Zhejiang Province for Nucleic Acids, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, P. R. China.
J Mater Chem B. 2025 Jan 29;13(5):1681-1689. doi: 10.1039/d4tb01946f.
Respiratory infectious diseases spread rapidly and have a wide range of impacts, posing a serious threat to public health security. The development of a sensitive, accurate, and rapid detection method for respiratory viruses is crucial for disease prevention and control. However, existing methods are inadequate in satisfying the demand for accurate and convenient detection simultaneously. Therefore, an ultrasensitive point-of-care testing (POCT) platform based on a multiple aptamer recognition-based quantum dot lateral flow immunoassay (MARQ-LFIA) was developed in this work. This platform consisted of multiple high-affinity aptamers for recognizing different sites on a respiratory infectious virus protein, enhancing the efficiency of virus identification in complex environments. By combining a multiple aptamer recognition strategy with quantum dot fluorescent technique to construct LFIA test strips and pairing them with a high-gain portable fluorescence reader, excellent detection sensitivity and specificity were achieved in the case of coronavirus disease 2019 (COVID-19). The limits of detection were 1.427 pg mL and 1643 U mL towards the nucleocapsid protein and inactivated viruses, respectively, indicating that MARQ-LFIA improved detection sensitivity compared to reported methods. More critically, by testing thirty COVID-19 positive and twenty negative patient samples, the positive detection rate increased from 55.17% to 86.67% compared with commercially similar products. The universality of MARQ-LFIA was also investigated for diagnosing influenza B. We believe that MARQ-LFIA can be a promising POCT tool with potential applications in the areas of public health for the growing demand for precision diagnosis and treatment.
呼吸道传染病传播迅速且影响广泛,对公共卫生安全构成严重威胁。开发一种灵敏、准确且快速的呼吸道病毒检测方法对于疾病预防和控制至关重要。然而,现有方法在同时满足准确便捷检测需求方面存在不足。因此,本研究开发了一种基于多适配体识别的量子点侧向流动免疫分析(MARQ-LFIA)的超灵敏即时检测(POCT)平台。该平台由多个高亲和力适配体组成,用于识别呼吸道感染病毒蛋白上的不同位点,提高了在复杂环境中病毒识别的效率。通过将多适配体识别策略与量子点荧光技术相结合构建LFIA试纸条,并与高增益便携式荧光读数器配对,在2019冠状病毒病(COVID-19)检测中实现了出色的检测灵敏度和特异性。对核衣壳蛋白和灭活病毒的检测限分别为1.427 pg/mL和1643 U/mL,表明MARQ-LFIA与已报道方法相比提高了检测灵敏度。更关键的是,通过检测30份COVID-19阳性和20份阴性患者样本,与商业同类产品相比,阳性检测率从55.17%提高到了86.67%。还研究了MARQ-LFIA在诊断乙型流感方面的通用性。我们相信,MARQ-LFIA有望成为一种POCT工具,在公共卫生领域满足日益增长的精准诊断和治疗需求方面具有潜在应用价值。