tetano
Editor, Senior Moderator
Talanta
. 2024 Dec 6:285:127351.
doi: 10.1016/j.talanta.2024.127351. Online ahead of print. Ag-coated Au nanostar-based Lateral Flow Immunoassay for Highly Sensitive Influenza A virus antibody Detection in Colorimetric and Surface-Enhanced Raman Scattering (SERS) modes
Jingwen Li[SUP] 1 [/SUP], Min Liu[SUP] 2 [/SUP], Jinyue Zhu[SUP] 2 [/SUP], Yunbing Jiao[SUP] 2 [/SUP], Jingbin Zeng[SUP] 3 [/SUP]
Affiliations
Antibody testing for virus aids diagnosis, promotes vaccination and development, and evaluates antibody treatment efficacy. Hence, it is essential to examine and monitor antibody levels for accurate disease diagnosis and prevention. Lateral Flow Immunoassay (LFIA) is a technique that is known for its simplicity and speed, making it a popular choice for immediate detection. Noble metal nanoparticles are extensively employed in LFIA due to their exceptional colorimetric and Raman properties, which are a result of the LSPR effect. Au nanostars (Au NSs) have excellent SERS properties due to multiple sharp branches and more "hot spots" on the surface, while Ag nanoparticles (Ag NPs) have higher extinction coefficient and better refractive index sensitivity. The electromagnetic field strength on the surface of Ag-Au bimetallic nanomaterial is greatly enhanced, which further enhances the SERS intensity. In this work, we created a core-shell nanoparticle by combining Au NS as the core and Ag as the shell (Au NS[SUP]MBA[/SUP]@Ag). We then inserted a Raman reporter molecule between the core and shell. Using this, we developed an LFIA platform that can detect influenza A virus antibodies in both colorimetric and Raman modes. The detection limit in colorimetric mode was 0.1 ng/mL, while in Raman mode it was 8.0 pg/mL, making it approximately 12 times more sensitive than the colorimetric mode. Furthermore, the method has shown excellent specificity, stability, and resistance to interference. Hence, this method can be applied to various fields such as environmental monitoring, clinical diagnosis, and food safety, showing great potential for future applications.
Keywords: AuNS(MBA)@Ag nanoparticles; Influenza A virus antibody; LFIA; SERS.
. 2024 Dec 6:285:127351.
doi: 10.1016/j.talanta.2024.127351. Online ahead of print. Ag-coated Au nanostar-based Lateral Flow Immunoassay for Highly Sensitive Influenza A virus antibody Detection in Colorimetric and Surface-Enhanced Raman Scattering (SERS) modes
Jingwen Li[SUP] 1 [/SUP], Min Liu[SUP] 2 [/SUP], Jinyue Zhu[SUP] 2 [/SUP], Yunbing Jiao[SUP] 2 [/SUP], Jingbin Zeng[SUP] 3 [/SUP]
Affiliations
- PMID: 39657522
- DOI: 10.1016/j.talanta.2024.127351
Antibody testing for virus aids diagnosis, promotes vaccination and development, and evaluates antibody treatment efficacy. Hence, it is essential to examine and monitor antibody levels for accurate disease diagnosis and prevention. Lateral Flow Immunoassay (LFIA) is a technique that is known for its simplicity and speed, making it a popular choice for immediate detection. Noble metal nanoparticles are extensively employed in LFIA due to their exceptional colorimetric and Raman properties, which are a result of the LSPR effect. Au nanostars (Au NSs) have excellent SERS properties due to multiple sharp branches and more "hot spots" on the surface, while Ag nanoparticles (Ag NPs) have higher extinction coefficient and better refractive index sensitivity. The electromagnetic field strength on the surface of Ag-Au bimetallic nanomaterial is greatly enhanced, which further enhances the SERS intensity. In this work, we created a core-shell nanoparticle by combining Au NS as the core and Ag as the shell (Au NS[SUP]MBA[/SUP]@Ag). We then inserted a Raman reporter molecule between the core and shell. Using this, we developed an LFIA platform that can detect influenza A virus antibodies in both colorimetric and Raman modes. The detection limit in colorimetric mode was 0.1 ng/mL, while in Raman mode it was 8.0 pg/mL, making it approximately 12 times more sensitive than the colorimetric mode. Furthermore, the method has shown excellent specificity, stability, and resistance to interference. Hence, this method can be applied to various fields such as environmental monitoring, clinical diagnosis, and food safety, showing great potential for future applications.
Keywords: AuNS(MBA)@Ag nanoparticles; Influenza A virus antibody; LFIA; SERS.