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Colorimetric immunosensing using liposome encapsulated MnO nanozymes for SARS-CoV-2 antigen detection. | LitMetric

AI Article Synopsis

  • The study presents a novel colorimetric immunosensing nanosystem using liposome-encapsulated quantum dots (MnOQDs@Lip) for rapid and sensitive detection of SARS-CoV-2 antigens.
  • The system employs magnetic beads to capture the antigens, forming a complex that catalyzes a color change for visual and quantitative detection.
  • This method achieves detection limits as low as 65 fg/mL, making it effective for real clinical samples and offering a promising tool for early pathogen diagnosis and public health surveillance.

Article Abstract

Development of specific signal reporters with signal amplification effect are highly needed for sensitive and accurate detection of pathogen. Herein, we design a colorimetric immunosensing nanosystem based on liposome encapsulated quantum dots-sized MnO nanozyme (MnOQDs@Lip) as a signal reporter for ultrasensitive and fast detection of SARS-CoV-2 antigen. The pathogenic antigens captured and separated by antibody-conjugated magnetic beads (MBs) are further connected with antibody-modified MnOQDs@Lip to form a sandwich-like immunocomplex structure. After triggered release, MnO QDs efficiently catalyze colorless 3,3',5,5'-tetramethylbenzidine (TMB) to blue oxidized TMB, which can be qualitatively observed by naked eyes and quantitatively analyzed by UV-Vis spectra or smartphone platforms. By taking advantages of immuno-magnetic separation, excellent peroxidase-like catalytic activity of MnO QDs, and high encapsulation efficiency of MnOQDs@Lip, ultrasensitive detection of SARS-CoV-2 antigen ranging from 0.1 pg/mL to 100 ng/mL is achieved within 20 min. The limit of detection (LOD) is calculated to be 65 fg/mL in PBS buffer. Furthermore, real clinical samples of SARS-CoV-2 antigens can be effectively identified by this immunosensing nanosystem with excellent accuracy. This proposed detection nanosystem provides a strategy for simple, rapid and ultrasensitive detection of pathogens and may shed light on the development of new POCT detection platforms for early diagnosis of pathogens and surveillance in public health.

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Source
http://dx.doi.org/10.1016/j.bios.2023.115623DOI Listing

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