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

Author

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  • 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
    These authors contributed equally to this work.)

  • 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
    These authors contributed equally to this work.)

  • 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
    Health Sciences Research Unit: Nursing (UICISA:E), The Nursing School of Coimbra (ESEnfC), 3004-011 Coimbra, Portugal)

  • 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
    Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, 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)

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.

Suggested Citation

  • 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 Ferna, 2022. "Development of a Cyclic Voltammetry-Based Method for the Detection of Antigens and Antibodies as a Novel Strategy for Syphilis Diagnosis," IJERPH, MDPI, vol. 19(23), pages 1-10, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16206-:d:992805
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