The fast and reliable anti-leishmaniasis antibody detection method was developed using citrate-capped gold nanoparticles (AuNPs) conjugated with an immunogenic peptide from promastigote surface antigens. These conjugates recognize specific antibodies that promote the aggregation of AuNPs in the solution, enabling a remarkable surface-enhanced Raman scattering (SERS) activity which allowed the development of an indirect detection test for human visceral leishmaniasis (VL). Dynamic and static light scattering methods were performed to investigate the aggregation process of the peptide-capped AuNPs induced by the addition of the specific polyclonal antibody anti-PSAdP23–47 in the diagnostic test. UV–vis spectroscopy and scanning electron microscopy demonstrated that AuNPs of different sizes are formed after interacting with antibodies against promastigote surface antigen (PSA)-derived peptides from the amino acid residues 23–47 (PSAdP23–47), confirmed by the plasmon resonance band position from 536 to 639 nm and light-scattering techniques. Experimental optimization of the SERS-based serological test showed that increasing the peptide and the citrate buffer concentration induces stronger Raman intensities. In addition, the multivariate curve resolution with alternating least squares allowed the identification of a fingerprint window within the range of 1043–1498 cm–1. Finally, a refined data analysis approach was successfully employed, enabling a robust differentiation between human sera from VL and non-VL patients. Prototype validation and proof of concept to demonstrate the feasibility and functionality of the sensor were carried out through calibration and optimization using a partial least squares discriminant analysis model with six latent variables, which validated the test reaching 100% sensitivity and 88.2% specificity. These results show the potential of the SERS platform for constructing a point-of-need serological test for diagnosing VL, a neglected tropical disease with a strong humoral immune response.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.