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10 results on '"Wei, Hongjuan"'

9. Rapid Enrichment and Ultrasensitive Detection of Influenza A Virus in Human Specimen using Magnetic Quantum Dot Nanobeads Based Test Strips

Author

Shengqi Wang, Peng Yongjin, Wei Hongjuan, Yanhui Zhu, Jing Yang, Chongwen Wang, Zhen Rong, Zikun Bai, and Xingsheng Yang

Subjects
Magnetic enrichment, 02 engineering and technology, Lateral flow assay, 010402 general chemistry, medicine.disease_cause, 01 natural sciences, Virus, Article, Test strips, Materials Chemistry, Influenza A virus, medicine, Electrical and Electronic Engineering, Instrumentation, ComputingMethodologies_COMPUTERGRAPHICS, Detection limit, Infectivity, biology, Chemistry, Metals and Alloys, Respiratory infection, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Virology, 0104 chemical sciences, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Quantum dot, biology.protein, Nasopharyngeal swab, Antibody, Magnetic quantum dot nanobead, 0210 nano-technology
Abstract

Graphical abstract, Highlights • Magnetic-quantum dot nanobeads can serve as enrichment substrate and fluorescent probe for virus detection using lateral flow assay. • Influenza A virus (IAV) virions were separated and enriched from clinical specimens. • Ultrasensitive detection of IAV virions with a LOD down to 22 pfu mL–1 within 35 minutes. • Good specificity between influenza B virus and two adenovirus strains., Influenza A virus (IAV) possesses a high infectivity and pathogenicity, and can lead to severe respiratory infection with similar symptoms caused by some other common respiratory viruses. Lateral flow assay (LFA) has been widely deployed in remote settings as a rapid and reliable approach for point-of-care detection of infectious pathogens. However, it still remains challenging to detect IAV virions using LFA from clinical samples such as nasopharyngeal or throat swabs, because their various components and high viscosity can decrease flow velocity and lead to the nonspecific adsorption of nanoparticle labels on the sensing membrane. Herein, we demonstrated a magnetic quantum dot nanobeads (MQBs) based LFA for magnetic enrichment and fluorescent detection of IAV virions in clinical specimens. In this study, MQBs were synthesized and then conjugated with IAV-specific antibody to efficiently enrich IAV virions from complex biological matrix, but also serve as highly bright fluorescent probes in lateral flow strips. This assay can achieve quantitative detection of IAV virions with a low limit of detection down to 22 pfu mL–1 within 35 minutes, and show good specificity between influenza B virus and two adenovirus strains. Furthermore, the presented platform was able to directly detect IAV virions spiked in nasopharyngeal swab dilution, indicating its stability and feasibility in clinical applications. Thus, this point-of-care detection platform holds great promise as a broadly applicable approach for the rapid diagnosis of influenza A.

Published
2020

10. Cross-Sectional Study on Analysis of the Prevalence and Influencing Factors of Sleep Disorders among College Students in a Certain University in China.

Author

Hu L, Wang K, Fu G, Wei H, and Wu Y

Subjects
Humans, Cross-Sectional Studies, China epidemiology, Male, Female, Universities, Prevalence, Young Adult, Risk Factors, Sleep Quality, Adult, Adolescent, Surveys and Questionnaires, Students statistics & numerical data, Sleep Wake Disorders epidemiology
Abstract

Background: Maintaining good sleep quality is crucial for improving the efficiency of college students. Therefore, this cross-sectional study aims to elucidate the prevalence of sleep disorders among students and analyze its risk factors., Methods: A cross-sectional study was conducted on college students between March 2022 and December 2022. A well-designed questionnaire was filled out by college students from a certain university in China. Students whose scores on the Pittsburgh Sleep Quality Index (PSQI) scale exceeded 8 were included in the sleep disorder group (SD group), while those with lower were included in the non-sleep disorder group (ND group). Furthermore, single-factor analysis was used to investigate the relationship between general information and sleep disorders. Additionally, multifactor logistic regression was utilized to identify the independent risk factors contributing to the occurrence of sleep disorders among college students., Results: We observed that the total PSQI score was 7.00 ± 2.17, and the incidence of sleep disorders was 38% among 326 college students. The level of sleep disorders was low (35.89%), scoring 2 or 3 in each component. A high number of students (78.22%) did not use sleep medication in the past 1 month. The level of daytime dysfunction was low (25.76%), scoring 2 or 3 in each section. The differences between the two groups in terms of academic performance, economic level, risk of smartphone addiction, pressure level, family relationship, and physical activity were statistically significant (p < 0.05). Furthermore, multifactor logistic regression analysis indicated that several factors, such as academic performance, smartphone addiction risk, pressure level, and family relationship, were independent risk factors affecting the occurrence of sleep disorders among college students (p < 0.05)., Conclusion: The prevalence of sleep disorders among students in a certain university is 38%. Factors affecting sleep disorders include poor academic performance, high smartphone addiction risk and stress levels, and challenging family relationship.

Published
2024
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