Development of a Cyclic Voltammetry-Based Method for the Detection of Antigens and Antibodies as a Novel Strategy for Syphilis Diagnosis

Gabriel M. C. Barros, Dionísio D. A. Carvalho, Agnaldo S. Cruz, Ellen K. L. Morais, Ana Isabela L. Sales-Moioli, Talita K. B. Pinto, Melise C. D. Almeida, Ignacio Sanchez-Gendriz, Felipe Fernandes, Ingridy M. P. Barbalho, João P. Q. Santos, Jorge M. O. Henriques, César A. D. Teixeira, Paulo Gil, Lúcio Gama, Angélica E. Miranda, Karilany D. Coutinho, Leonardo J. Galvão-Lima () and Ricardo A. M. Valentim
Additional contact information
Gabriel M. C. Barros: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Dionísio D. A. Carvalho: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Agnaldo S. Cruz: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Ellen K. L. Morais: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Ana Isabela L. Sales-Moioli: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Talita K. B. Pinto: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Melise C. D. Almeida: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Ignacio Sanchez-Gendriz: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Felipe Fernandes: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Ingridy M. P. Barbalho: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
João P. Q. Santos: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Jorge M. O. Henriques: Centre for Informatics and Systems of the University of Coimbra (CISUC), Department of Informatics Engineering, University of Coimbra, 3004-531 Coimbra, Portugal
César A. D. Teixeira: Centre for Informatics and Systems of the University of Coimbra (CISUC), Department of Informatics Engineering, University of Coimbra, 3004-531 Coimbra, Portugal
Paulo Gil: Department of Electrical and Computer Engineering, School of Science and Technology, New University of Lisbon, 1099-085 Lisbon, Portugal
Lúcio Gama: Department of Molecular and Comparative Biology, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
Angélica E. Miranda: Postgraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória 29075-910, Brazil
Karilany D. Coutinho: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Leonardo J. Galvão-Lima: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
Ricardo A. M. Valentim: Laboratory of Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil

IJERPH, 2022, vol. 19, issue 23, 1-10

Abstract: The improvement of laboratory diagnosis is a critical step for the reduction of syphilis cases around the world. In this paper, we present the development of an impedance-based method for detecting T. pallidum antigens and antibodies as an auxiliary tool for syphilis laboratory diagnosis. We evaluate the voltammetric signal obtained after incubation in carbon or gold nanoparticle-modified carbon electrodes in the presence or absence of Poly-L-Lysine. Our results indicate that the signal obtained from the electrodes was sufficient to distinguish between infected and non-infected samples immediately (T0′) or 15 min (T15′) after incubation, indicating its potential use as a point-of-care method as a screening strategy.

Keywords: syphilis; Treponema pallidum; electrodes; point-of-care method; screening strategy (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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