Computational Method-Based Optimization of Carbon Nanotube Thin-Film Immunosensor for Rapid Detection of SARS-CoV-2 Virus.
Computational Method-Based Optimization of Carbon Nanotube Thin-Film Immunosensor for Rapid Detection of SARS-CoV-2 Virus.
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DOI：
10.1002/smsc.202100111
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发表时间：
2022-03
期刊：
影响因子：
--
通讯作者：
Park S
中科院分区：
文献类型：
--
作者：
Kim SY;Lee JC;Seo G;Woo JH;Lee M;Nam J;Sim JY;Kim HR;Park EC;Park S
最近新冠肺炎在全球的传播强调了发展快速且不需要专门实验室的诊断检测的重要性。在这方面，通过溶液工艺制备的纳米材料薄膜免疫传感器前景看好，这可能是因为它们具有大规模可制造性、现场检测和高灵敏度，可以直接检测病毒，而不需要分子扩增。然而，到目前为止，薄膜生物传感器的制备还没有很好地分析薄膜性能与生物传感器性能的关系，限制了对−性能关系的理解和优化过程。本文系统地分析了碳纳米管薄膜免疫传感器的各种薄膜特性与其灵敏度之间的关系，从而获得了最佳的灵敏度。缓冲液和裂解病毒对SARS-CoV-2核衣壳蛋白的敏感性分别为0.024[fg/mL]−1和0.048[Copies/mL]−1，足以用于新冠肺炎早期诊断。因此，该技术可能有助于阐明生物传感器性能和性能之间的复杂关系，从而使系统优化能够进一步提高生物传感器对准确和快速诊断的适用性。基于计算方法的系统分析可以优化碳纳米管(CNT)薄膜的性能和免疫传感器的灵敏度，潜在地使大规模制造用于准确和快速诊断各种疾病的护理点式生物传感器成为可能。用高取向、低粗糙度的碳纳米管薄膜检测SARS-CoV-2病毒中的核衣壳蛋白，灵敏度为0.048[Copies/mL]−1。
The recent global spread of COVID‐19 stresses the importance of developing diagnostic testing that is rapid and does not require specialized laboratories. In this regard, nanomaterial thin‐film‐based immunosensors fabricated via solution processing are promising, potentially due to their mass manufacturability, on‐site detection, and high sensitivity that enable direct detection of virus without the need for molecular amplification. However, thus far, thin‐film‐based biosensors have been fabricated without properly analyzing how the thin‐film properties are correlated with the biosensor performance, limiting the understanding of property−performance relationships and the optimization process. Herein, the correlations between various thin‐film properties and the sensitivity of carbon nanotube thin‐film‐based immunosensors are systematically analyzed, through which optimal sensitivity is attained. Sensitivities toward SARS‐CoV‐2 nucleocapsid protein in buffer solution and in the lysed virus are 0.024 [fg/mL]−1 and 0.048 [copies/mL]−1, respectively, which are sufficient for diagnosing patients in the early stages of COVID‐19. The technique, therefore, can potentially elucidate complex relationships between properties and performance of biosensors, thereby enabling systematic optimization to further advance the applicability of biosensors for accurate and rapid point‐of‐care (POC) diagnosis. Computational method‐based systematic analysis that can optimize the carbon nanotube (CNT) thin‐film properties and sensitivity of immunosensors is utilized, potentially enabling mass manufacturing of point‐of‐care biosensor for accurate and rapid diagnosis of various diseases. Using CNT films with high alignment and low roughness, nucleocapsid protein in SARS‐CoV‐2 virus is detected with a sensitivity of 0.048 [copies/mL]−1.
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