A new tool for dengue virus diagnosis: Optimization and detection of anti-NS1 antibodies in serum samples by impedimetric transducers

Santos, Cátia da Cruz; Santos, Paulo César Melquíades; Rocha, Kamila Lorene Soares; Thomasini, Ronaldo Luis; Oliveira, Danilo Bretas de; Franco, Diego Leoni; Ferreira, Lucas Franco

doi:10.1016/j.microc.2019.104544

Cited by 19 publications

(11 citation statements)

References 33 publications

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“…Nyquist plot in Figure 1 (b) shows a classic conducting polymer profile, wherein the semicircular segment is related to the charge-transfer resistance and the double-layer capacitance, and the linear segment is associated with the ions intercalation in the polymeric film to maintain the charge neutrality during the redox processes [ 17 , 62 , 63 ]. It is clearly seen in Figure 1 (b) the increase of the semicircle at the high frequency region according to the biomolecules incorporation in the nanocomposite film (PEDOT/AuNPs).…”

Section: Resultsmentioning

confidence: 99%

“…Also, the estimated Gibbs free energy for AG-AB binding was determined as -34 kJ mol −1 [16] . This approach has been applied to design biosensors for diagnosis of infectious diseases, like Dengue [ 17 , 18 ], Zika [ 19 , 20 ], Hepatitis [ 21 , 22 ], Escherichia coli [ 23 , 24 ] and Middle East Respiratory Syndrome [15] . In the face of COVID-19 pandemic, different immunobiosensors for this disease are found in the literature [ 6 , [25] , [26] , [27] , [28] ].…”

Section: Introductionmentioning

confidence: 99%

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PEDOT-AuNPs-based impedimetric immunosensor for the detection of SARS-CoV-2 antibodies

Lorenzen

Santos

et al. 2022

Electrochimica Acta

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Electrochemical sensors and biosensors are useful techniques for fast, inexpensive, sensitive, and easy detection of innumerous specimen. In face of COVID-19 pandemic, it became evident the necessity of a rapid and accurate diagnostic test, so the impedimetric immunosensor approach can be a good alternative to replace the conventional tests due to the specific antibody-antigen binding interaction and the fast response in comparison to traditional methods. In this work, a modified electrode with electrosynthesized PEDOT and gold nanoparticles followed by the immobilization of truncated nucleoprotein (N aa160-406aa) was used for a fast and reliable detection of antibodies against COVID-19 in human serum sample. The method consists in analyzing the charge-transfer resistance (R CT ) variation before and after the modified electrode comes into contact with the positive and negative serum sample for COVID-19, using [Fe(CN) 6 ] 3-/4− as a probe. The results show a linear and selective response for serum samples diluted in a range of 2.5 × 10 3 to 20 × 10 3 . Also, the electrode material was fully characterized by Raman spectroscopy, transmission electron microscopy and scanning electron microscopy coupled with EDS, indicating that the gold nanoparticles were well distributed around the polymer matrix and the presence of the biological sample was confirmed by EDS analysis. EIS measurements allowed to differentiate the negative and positive samples by the difference in the R CT magnitude, proving that the material developed here has potential properties to be applied in impedimetric immunosensors for the detection of SARS-CoV-2 antibodies in about 30 minutes.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PEDOT-AuNPs-based impedimetric immunosensor for the detection of SARS-CoV-2 antibodies

Lorenzen

Santos

et al. 2022

Electrochimica Acta

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“…For dengue diagnosis, da Cruz Santos et al 24 created an impedimetric immunosensor based on the particular non‐Structural Protein 1 (rNS1) antibodies immobilized over poly(4‐aminobenzoic acid)‐modified screen‐printed electrodes (SPE).…”

Section: Literature Reviewmentioning

confidence: 99%

UChOA‐ANN based effective diagnostic model for early detection and accurate prediction of dengue affected blood samples

Ramakrishna

Karthikeyan

2023

Concurrency and Computation

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Dengue virus infection is one of the major worldwide health issues and a substantial epidemic infectious human disease. More than 2 billion humans live in dengue susceptible regions with an annual infection mortality rate is about 5%-20%. At the initial stages, it is difficult to differentiate dengue fever symptoms from other similar diseases. Therefore, early diagnosis of dengue disease can help in protecting human lives by making a preventive move before it turns into an infectious disease. Although early detection is critical to reducing dengue disease deaths, accurate dengue diagnosis requires a long time due to the numerous clinical examinations. For this, several techniques have been presented. But, the accuracy of these methods is not enough.Thus, this issue necessitates the development of a new diagnostic schema. Hence, to identify the dengue-affected blood samples effectively, Updated Chimp Optimization Algorithm-Artificial Neural Network (UChOA-ANN) based diagnostic model is proposed in this paper. UChOA-ANN-based diagnostic model has been implemented and validated for the early detection and accurate prediction of dengue disease. Here, to improve the performance of ANN, UChOA is used for selecting the weight parameters of ANN optimally. The results show that the proposed diagnostic model has achieved maximum sensitivity, specificity, and accuracy at 92%, 96%, and 94%, respectively.In addition, the results reveal that the proposed diagnostic model has outperformed other methods for detecting dengue-affected blood samples in terms of sensitivity, specificity, accuracy, PPV, NPV, FPR, FNR, and FDR. Our proposed diagnostic model has been capable to diagnose dengue in assisting doctors in its early stage with high accuracy.

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“…The transducer fabrication is based on the specific non-Structural Protein 1 (rNS1) antibodies immobilized over poly (4-aminobenzoic acid)modified screen-printed electrodes. The proposed work uses a small concentration of rNS1 antigen (0.1 ng/mL) with a serum dilution of 1:1280 (Santos et al, 2020). EIS has been used in many applications for diagnosing DENV as a POC device.…”

Section: Electrochemical Impedance Spectroscopy (Eis)mentioning

confidence: 99%

Dengue virus infection: A review of advances in the emerging rapid detection methods

Hussain¹,

Ali²,

Liu³

et al. 2022

Biocell

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Dengue virus infections are increasing worldwide generally and in Asia, Central and South America and Africa, particularly. It poses a serious threat to the children population. The rapid and accurate diagnostic systems are essentially required due to lack of effective vaccine against dengue virus and the progressive spread of the dengue virus infection. The recent progress in developing micro-and nano-fabrication techniques has led to low cost and scale down the biomedical point-of-care devices. Starting from the conventional and modern available methods for the diagnosis of dengue infection, this review examines several emerging rapid and point-of-care diagnostic devices that hold significant potential for the progress in smart diagnosis tools. The given review revealed that an effective vaccine is required urgently against all the dengue virus serotypes. However, the rapid detection methods of dengue virus help in early treatment and significantly reduce the dengue virus outbreak.

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A new tool for dengue virus diagnosis: Optimization and detection of anti-NS1 antibodies in serum samples by impedimetric transducers

Cited by 19 publications

References 33 publications

PEDOT-AuNPs-based impedimetric immunosensor for the detection of SARS-CoV-2 antibodies

PEDOT-AuNPs-based impedimetric immunosensor for the detection of SARS-CoV-2 antibodies

UChOA‐ANN based effective diagnostic model for early detection and accurate prediction of dengue affected blood samples

Dengue virus infection: A review of advances in the emerging rapid detection methods

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