Sensitivity-enhanced nanoplasmonic biosensor using direct immobilization of two engineered nanobodies for SARS-CoV-2 spike receptor-binding domain detection

Ma, Zhiwei; Sun, Zengchao; Lv, Xiaoqing; Chen, Hongda; Geng, Yong; Zhang, Geng

doi:10.1016/j.snb.2023.133575

Cited by 5 publications

(2 citation statements)

References 46 publications

(50 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In another report, Ma et al reported a LSPR-based plasmic biosensor for the detection of SARS-CoV-2 spike receptor-binding domain (RBD) (Fig. 2 A) [ 67 ]. Firstly, AuNPs were prepared and placed on fluorine-doped tin oxide (FTO) substrates.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optical biosensors for diagnosis of COVID-19: nanomaterial-enabled particle strategies for post pandemic era

Tekin,

Kul,

Sagdic

et al. 2024

Microchim Acta

View full text Add to dashboard Cite

The COVID-19 pandemic underlines the need for effective strategies for controlling virus spread and ensuring sensitive detection of SARS-CoV-2. This review presents the potential of nanomaterial-enabled optical biosensors for rapid and low-cost detection of SARS-CoV-2 biomarkers, demonstrating a comprehensive analysis including colorimetric, fluorescence, surface-enhanced Raman scattering, and surface plasmon resonance detection methods. Nanomaterials including metal-based nanomaterials, metal–organic frame–based nanoparticles, nanorods, nanoporous materials, nanoshell materials, and magnetic nanoparticles employed in the production of optical biosensors are presented in detail. This review also discusses the detection principles, fabrication methods, nanomaterial synthesis, and their applications for the detection of SARS-CoV-2 in four categories: antibody-based, antigen-based, nucleic acid–based, and aptamer-based biosensors. This critical review includes reports published in the literature between the years 2021 and 2024. In addition, the review offers critical insights into optical nanobiosensors for the diagnosis of COVID-19. The integration of artificial intelligence and machine learning technologies with optical nanomaterial-enabled biosensors is proposed to improve the efficiency of optical diagnostic systems for future pandemic scenarios. Graphical Abstract

show abstract

Section: Introductionmentioning

confidence: 99%

“…Reproduced with permission from Ref. [ 67 ]. B Illustration of colorimetric detection of spike 1 protein of SARS-CoV-2 based on peroxidase catalysis of Au@PtNPs.…”

Section: Introductionmentioning

confidence: 99%