Publications by authors named "Aolin Zhu"
Background And Aims: Ketamine and morphine are among the most commonly abused drugs. Ketamine is classified as a new psychoactive substance, while morphine represents the opioid class. These two substances may exhibit synergistic or antagonistic effects in their pharmacological actions, and their combined abuse could lead to more severe health risks, such as respiratory depression.
View Article and Find Full Text PDFA simple and rapid method based on Raman microsphere immunochromatography was developed in this study for the simultaneous detection of influenza A and B viruses and SARS-CoV-2 on a single test T-line. Three types of Raman microspheres with different Raman characteristics were used as the signal sources and were labelled with monoclonal antibodies against FluA, FluB and SARS-CoV-2, respectively. A mixture of antibodies containing anti-FluA monoclonal antibody, anti-FluB monoclonal antibody and anti-SARS-CoV-2 was sprayed on the detection line (T), and goat polyclonal antibody to chicken (IgY) encapsulated on the quality control line (C), for qualitative detection of these three viruses by the double antibody sandwich method.
View Article and Find Full Text PDFArticle Synopsis
- Brucellosis, caused by the Brucella bacteria, is mainly transmitted through contact with infected animals and poses challenges in diagnosis due to overlapping antibody responses in tests.
- Researchers developed a new detection system combining surface-enhanced Raman scattering (SERS) with a lateral flow immunoassay (LFIA) that can simultaneously identify anti-brucellosis IgG and IgM antibodies in clinical samples.
- The innovative biosensor achieved 100% sensitivity and specificity in 40 tested samples, with results available in just 15 minutes, making it a promising tool for rapid brucellosis testing, especially in remote areas.
Article Synopsis
- A new immunochromatography system using Raman nanospheres (R-Sphere) allows for quick detection of both Influenza A and B viruses on one test line in just 15 minutes.
- This method utilizes unique Raman spectra from different R-Spheres labeled with specific antibodies for each virus, ensuring accurate detection without interfering with other respiratory pathogens.
- Compared to traditional tests, this system shows 8 times greater sensitivity and simplifies the process by requiring fewer sample preparation steps, thus enhancing detection efficiency for respiratory viruses.