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Recombinant protein embedded liposome on gold nanoparticle based on LSPR method to detect Corona virus
Nano Convergence ( IF 11.7 ) Pub Date : 2023-10-30 , DOI: 10.1186/s40580-023-00399-x
Lina Kim 1, 2 , Seongjae Jo 1 , Gyeong-Ji Kim 3 , Kyung Ho Kim 1 , Sung Eun Seo 1 , Eunsu Ryu 1 , Chan Jae Shin 3, 4 , Yu Kyung Kim 5 , Jeong-Woo Choi 2 , Oh Seok Kwon 1, 3, 4, 6
Affiliation  

Antibody sensor to detect viruses has been widely used but has problems such as the difficulty of right direction control of the receptor site on solid substrate, and long time and high cost for design and production of antibodies to new emerging viruses. The virus detection sensor with a recombinant protein embedded liposome (R/Li) was newly developed to solve the above problems, in which R/Li was assembled on AuNPs (Au@R/Li) to increase the sensitivity using localized surface plasmon resonance (LSPR) method. Recombinant angiotensin-converting enzyme-2 (ACE2) was used as host receptors of SARS-CoV and SARS-CoV-2, and the direction of enzyme active site for virus attachment could be controlled by the integration with liposome. The recombinant protein embedded liposomes were assembled on AuNPs, and LSPR method was used for detection. With the sensor platform S1 protein of both viruses was detected with detection limit of 10 pg/ml and SARS-CoV-2 in clinical samples was detected with 10 ~ 35 Ct values. In the selectivity test, MERS-CoV did not show a signal due to no binding with Au@R/Li. The proposed sensor platform can be used as promising detection method with high sensitivity and selectivity for the early and simple diagnosis of new emerging viruses.

中文翻译:

基于LSPR方法的金纳米粒子包埋重组蛋白脂质体检测冠状病毒

检测病毒的抗体传感器已被广泛使用,但存在诸如难以正确控制固体基质上的受体位点、针对新出现的病毒的抗体的设计和生产时间长、成本高等问题。为了解决上述问题,新开发了重组蛋白嵌入脂质体(R/Li)的病毒检测传感器,其中R/Li被组装在AuNPs(Au@R/Li)上,利用局域表面等离振子共振来提高灵敏度( LSPR)方法。重组血管紧张素转换酶2(ACE2)被用作SARS-CoV和SARS-CoV-2的宿主受体,通过与脂质体的整合可以控制病毒附着的酶活性位点的方向。将重组蛋白包埋脂质体组装在AuNPs上,采用LSPR方法进行检测。利用传感器平台检测到两种病毒的S1蛋白,检测限为10 pg/ml,临床样本中的SARS-CoV-2检测到10 ~ 35 Ct值。在选择性测试中,MERS-CoV由于没有与Au@R/Li结合而没有显示出信号。所提出的传感器平台可作为具有高灵敏度和选择性的有前途的检测方法,用于新出现的病毒的早期和简单诊断。
更新日期:2023-10-31
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