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Development and Validation of a SERS-Based Serological Test Combined with PLS-DA Method for Leishmaniasis Detection AITranslate

Universidade Federal do ABC; Universidade Federal do ABC; Universidade Federal do ABC; Universidade Federal do Espírito Santo; Universidade Federal do Espírito Santo; Universidade Federal do ABC; Universidade Federal do ABC; Universidade Estadual de Campinas; Universidade Federal do ABC; Universidade Federal do ABC
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Publisher: ACS
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Abstract AITranslate

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.

KeyWords AITranslate

leishmaniasis diagnosis neglected tropical diseases partial least squares discriminant analysis SERS immunogenic peptide promastigote surface antigen
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Basic Information:

DOI:https://doi.org/10.1021/acsaelm.2c00625

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Citation Information:

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.

quote

GB/T 7714-2015 [1] Rodrigo S. N. Mancini, Amanda E. Sabaine, Carlos E. Castro, et al. ACS Applied Electronic Materials, 2022(4). DOI:10.1021/acsaelm.2c00625.
MLA [1] Rodrigo S. N. Mancini, et al., ACS Applied Electronic Materials, no. 4, 2022, https://doi.org/10.1021/acsaelm.2c00625.
APA [1] Rodrigo S. N. Mancini, Amanda E. Sabaine, Carlos E. Castro, Juliana B. T. Carnielli, Reynaldo Dietze, Vivian L. de Oliveira, Alexandre J. C. Lanfredi, Lauro T. Kubota, Mónica B. MamiánLópez, & Wendel A. Alves. (2022). ACS Applied Electronic Materials(4). https://doi.org/10.1021/acsaelm.2c00625
IEEE [1] Rodrigo S. N. Mancini, Amanda E. Sabaine, Carlos E. Castro, Juliana B. T. Carnielli, Reynaldo Dietze, Vivian L. de Oliveira, Alexandre J. C. Lanfredi, Lauro T. Kubota, Mónica B. MamiánLópez, and Wendel A. Alves, ACS Applied Electronic Materials, no. 4, 2022, doi: 10.1021/acsaelm.2c00625. keywords: {leishmaniasis diagnosis neglected tropical diseases partial least squares discriminant analysis SERS immunogenic peptide promastigote surface antigen}