In this manuscript partially reduced graphene oxide (RGO) nanosheet-based electrodes have been utilized for quantification of the NS1 protein and subsequently for dengue detection. NS1 is the biomarker found circulating in the body of dengue-infected persons on or after first day of the appearance of disease symptoms. Graphene oxide (GO) has been synthesized using a modified Hummer's method, and its ordered nanostructured films have been electrophoretically deposited on indium tin oxide (ITO)-coated glass substrates using Langmuir-Blodgett (LB) deposition. Deposited LB films of GO have been reduced with hydrazine vapors to obtain RGO-coated ITO electrodes. NS1 antibodies have been grafted onto the ordered thin films using covalent linking, and the bioelectrodes have been utilized for the specific detection of NS1 antigen. The electrochemical performance of the fabricated bioelectrodes for NS1 antigen detection has been explored in standard and spiked sera samples. The limit of detection for the standard samples and spiked serum samples is found to be 0.069 ng mL and 0.081 ng mL, respectively, with a sensitivity of 8.41 and 36.75 Ω per ng mL, respectively, in the detection range of 10 to 10 ng mL.
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http://dx.doi.org/10.1021/acs.langmuir.1c00896 | DOI Listing |
Sci Rep
December 2024
Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Dengue fever poses a significant public health burden in tropical regions, including Thailand, where periodic epidemics strain healthcare resources. Effective disease surveillance is essential for timely intervention and resource allocation. Various methods exist for spatiotemporal cluster detection, but their comparative performance remains unclear.
View Article and Find Full Text PDFLancet Microbe
December 2024
Department of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA. Electronic address:
Background: Serology for dengue viruses (DENV) and Zika virus (ZIKV) has been hindered by antibody cross-reactivity, which limits the utility of these tests for surveillance and assessment of sero-status. Our aim was to develop a multiplexed IgG-based assay with increased accuracy to assess the history of previous DENV and ZIKV infections.
Methods: We developed and assessed the analytical performance of a sample-sparing, multiplexed, microsphere-based serological assay using domain III of the envelope protein (EDIII) of DENV serotypes 1-4 and ZIKV, the most variable region between each virus.
Objectives: Arboviruses pose a significant global health challenge. This study investigated the seroprevalence of major human arboviral infections, including yellow fever (YFV), dengue (DENV), Crimean-Congo hemorrhagic fever (CCHF), Rift Valley fever (RVF), West Nile virus (WNV), and chikungunya (CHIK), in Darfur region from September to December 2018. ELISA-IgM was used to detect antibodies.
View Article and Find Full Text PDFWorld J Virol
December 2024
Research Section, Nepal Health Research Council, Kathmandu 44600, Bagmati, Nepal.
Dengue fever (DF) has become a major public health concern in Nepal, with increasing outbreaks in recent years. Transmitted by Aedes mosquitoes, this climate-sensitive viral disease presents a significant challenge for healthcare providers and policymakers. Since 2004, Nepal has experienced a sharp increase in DF cases, peaking in 2022 with 54784 cases and 88 deaths.
View Article and Find Full Text PDFmedRxiv
December 2024
Department of Medicine, University of California, San Francisco, USA.
Dengue virus (DENV) is an increasingly important human pathogen, with already half of the globe's population living in environments with transmission potential. Since only a minority of cases are captured by direct detection methods (RT-PCR or antigen tests), serological assays play an important role in the diagnostic process. However, individual assays can suffer from low sensitivity and specificity and interpreting results from multiple assays remains challenging, particularly because interpretations from multiple assays may differ, creating uncertainty over how to generate finalized interpretations.
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