The implementation of accurate and sensitive molecular detection for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is paramount to effectively control the ongoing coronavirus disease 2019 (COVID-19) pandemic. In this regard, we herein propose the specific and highly sensitive SARS-CoV-2 detection based on nanoyeast single-chain-variable fragment (scFv) and ultrasensitive plasmonic nanobox-integrated nanomixing microassay. Importantly, this designed platform showcases the utility of nanoyeast-scFvs as specific capture reagents targeting the receptor-binding domain (RBD) of the virus and as monoclonal antibody alternatives suitable for cost-effective mass production and frequent testing. By capitalizing on single-particle active nanoboxes as plasmonic nanostructures for surface-enhanced Raman scattering (SERS), the microassay utilizes highly sensitive Raman signals to indicate virus infection. The developed microassay further integrated nanomixing for accelerating molecular collisions. Through the synergistic working of nanoyeast-scFv, plasmonic nanoboxes, and nanomixing, the highly specific and sensitive SARS-CoV-2 detection is achieved as low as 17 virus/μL without any molecular amplification. We successfully demonstrate SARS-CoV-2 detection in saliva samples of simulated patients at clinically relevant viral loads, suggesting the possibility of this platform for accurate and noninvasive patient screening.
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http://dx.doi.org/10.1021/acs.analchem.1c01657 | DOI Listing |
BMC Genomics
January 2025
Department of Virology, Norwegian Institute of Public Health, Oslo, 0456, Norway.
The COVID-19 pandemic has underscored the importance of virus surveillance in public health and wastewater-based epidemiology (WBE) has emerged as a non-invasive, cost-effective method for monitoring SARS-CoV-2 and its variants at the community level. Unfortunately, current variant surveillance methods depend heavily on updated genomic databases with data derived from clinical samples, which can become less sensitive and representative as clinical testing and sequencing efforts decline.In this paper, we introduce HERCULES (High-throughput Epidemiological Reconstruction and Clustering for Uncovering Lineages from Environmental SARS-CoV-2), an unsupervised method that uses long-read sequencing of a single 1 Kb fragment of the Spike gene.
View Article and Find Full Text PDFZoonoses are infectious diseases transmitted from animals to humans. Bats have been suggested to harbour more zoonotic viruses than any other mammalian order. Infections in bats are largely asymptomatic, indicating limited tissue-damaging inflammation and immunopathology.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
CICS-UBI - Health Sciences Research Centre University of Beira Interior Covilhã Portugal; RISE-Health, Departamento de Química, Faculdade de Ciências, Universidade da Beira Interior, Rua Marquês d'Ávila e Bolama 6201-001 Covilhã, Portugal; Departamento de Química, Universidade da Beira Interior, Rua Marquês de Ávila e Bolama 6201-001 Covilhã, Portugal. Electronic address:
Rapid, quantitative, and sensitive detection of viral oligonucleotides can help to diagnose the infection before symptoms occur, monitor disease progression, and identify viral subtypes. A one-pot, simple, rapid hairpin-mediated nicking enzymatic signal amplification (HNESA) method was previously developed for nucleic acids detection. In the present work, this method was applied for the detection of SARS-CoV-2 RNA by designing an assistant probe (AP) that contains the complementary sequence for the target, the sequence of hybridization with the loop region of the molecular beacon (MB), and the recognition site of the nicking endonuclease Nt.
View Article and Find Full Text PDFTalanta
January 2025
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, PR China. Electronic address:
Electrochemiluminescence (ECL)-based point-of-care testing (POCT) has the potential to facilitate the rapid identification of diseases, offering advantages such as high sensitivity, strong selectivity, and minimal background interference. However, as the throughput of these devices increases, the issues of increased energy consumption and cross-contamination of samples remain. In this study, a high-throughput ECL biosensor platform with the assistance of machine learning algorithms is developed by combining a microcolumn array electrode, a microelectrochemical workstation, and a smartphone with custom software.
View Article and Find Full Text PDFBraz J Biol
January 2025
Near East University, Operational Research Center in Healthcare, Mersin, Turkey.
Amidst the ongoing COVID-19 pandemic, the imperative of our time resides in crafting stratagems of utmost precision to confront the relentless SARS-CoV-2 and quell its inexorable proliferation. A paradigm-shifting weapon in this battle lies in the realm of nanoparticles, where the amalgamation of cutting-edge nanochemistry begets a cornucopia of inventive techniques and methodologies designed to thwart the advances of this pernicious pathogen. Nanochemistry, an artful fusion of chemistry and nanoscience, provides a fertile landscape for researchers to craft innovative shields against infection.
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