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Background: The severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) causes a respiratory illness, characterized by symptoms such as fever, dry cough, and drowsiness. This virus is highly contagious, has significant mutation rates, and induces infection despite vaccination. Its widespread prevalence has profoundly impacted global economies, societies, and daily life. In response to these challenges, researchers have committed themselves to advancing rapid and cost-effective diagnostic technologies, holding substantial importance for the rapid evolution of global diagnostic capabilities. Nonetheless, various detection methods diverge in principles, sensitivity, specificity, and other aspects. Additionally, COVID-19 is not an isolated event, but part of a broader history of pandemics in human society. Therefore, this article briefly reviews the existing detection methods of SARS-CoV-2, providing valuable technical insights to diagnose not only SARS-CoV-2 but also other viruses.
Methods: A search was conducted on PubMed by utilizing keywords such as "SARS-CoV-2 detection", "RT-qPCR detection for SARS-CoV-2", "LFA detection for SARS-CoV-2", "Biosensors detection for SARS-CoV-2", and similar terms. The objective was to compile and summarize relevant articles on these topics.
Results: Currently, the real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR) stands as a widely employed method for detecting SARS-CoV-2, enabling an accurate detection of viral RNA. Furthermore, the lateral flow assay (LFA) assists in detecting viral antigens and antibodies. Gene sequencing technology primarily facilitates the real-time monitoring of mutated SARS-CoV-2 strains, while biosensors could offer a rapid, economical, sensitive, and precise detection of SARS-CoV-2. These methods provide a strong technical support for the early detection and diagnosis of SARS-CoV-2.
Conclusions: This paper offers a concise overview of pathogen detection methods, as molecular biology, and immunological detection techniques, alongside emerging biosensor platforms relevant to SARS-CoV-2, and delineates the strengths and weaknesses of each method.
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http://dx.doi.org/10.7754/Clin.Lab.2024.231148 | DOI Listing |
Crit Rev Immunol
January 2025
Department of General Surgery, The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300150, China.
Objective: This study aimed to probe the role of Shenling Baizhu powder (SLBZP) in inhibiting breast cancer (BC) lung metastasis, focusing on epithelial-to-mesenchymal transition (EMT) and ferroptosis.
Methods: BC 4T1 cells were treated with low (3.13 µg/mL) and high (12.
J Environ Pathol Toxicol Oncol
January 2025
Department of Biostatistics, Medical Faculty, Eskisehir Osmangazi University, Eskisehir, Turkey.
Prostate cancer and inflammation mechanism are closely related because chronic inflammation causes inflammatory cells to infiltrate into prostatic atrophy areas and proliferative inflammatory atrophy is accepted as the initiator of prostate cancer. The study included 90 patients (28 patients with benign prostatic hyperplasia (BPH), 35 patients with localized prostate cancer (LPCa), and 27 patients with metastatic prostate cancer (MPCa) and 90 healthy controls. Blood samples from 90 patients and 90 healthy people were used to isolate genomic DNA.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
3D shape defect detection plays an important role in autonomous industrial inspection. However, accurate detection of anomalies remains challenging due to the complexity of multimodal sensor data, especially when both color and structural information are required. In this work, we propose a lightweight inter-modality feature prediction framework that effectively utilizes multimodal fused features from the inputs of RGB, depth and point clouds for efficient 3D shape defect detection.
View Article and Find Full Text PDFFood Chem
September 2025
International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, PR China. Electronic address:
Mycotoxins, due to their high carcinogenic and genotoxic properties, pose a significant threat to global food safety. Traditional detection methods often fall short in meeting the demands for large-scale, real-time, simple, and rapid monitoring. As a result, innovative rapid detection approaches, leveraging advanced materials and sensor technologies, are emerging as key solutions for preventing food contamination.
View Article and Find Full Text PDFTalanta
September 2025
Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. Electronic address:
Food spoilage poses a global challenge with far-reaching consequences for public health, economic stability, and environmental sustainability. Conventional analytical methods for spoilage detection though accurate are often cost-prohibitive, labor-intensive, and unsuitable for real-time or field-based monitoring. Microfluidic paper-based analytical devices (μPADs) have emerged as a transformative technology offering rapid, portable, and cost-effective solutions for food quality assessment.
View Article and Find Full Text PDF