tetano
Editor, Senior Moderator
Anal Methods
. 2024 Jul 1.
doi: 10.1039/d4ay00508b. Online ahead of print. An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies
Bin Peng[SUP] 1 [/SUP], Yaqi Wang[SUP] 2 [/SUP], Yueliang Xie[SUP] 3 [/SUP], Xiangyan Dong[SUP] 4 [/SUP], Wen Liu[SUP] 3 [/SUP], Dan Li[SUP] 5 [/SUP], Hui Chen[SUP] 4 [/SUP]
Affiliations
Influenza A virus (IAV), a common respiratory infectious pathogen, poses a significant risk to personal health and public health safety due to rapid mutation and wide host range. To better prevent and treat IAV, comprehensive measures are needed for early and rapid screening and detection of IAV. Although traditional laboratory-based techniques are accurate, they are often time-consuming and not always feasible in emergency or resource-limited areas. In contrast, emerging point-of-care strategies provide faster results but may compromise sensitivity and specificity. Here, this review critically evaluates various detection methods for IAV from established laboratory-based procedures to innovative rapid diagnosis. By analyzing the recent research progress, we aim to address significant gaps in understanding the effectiveness, practicality, and applicability of these methods in different scenarios, which could provide information for healthcare strategies, guide public health response measures, and ultimately strengthen patient care in the face of the ongoing threat of IAV. Through a detailed comparison of diagnostic models, this review can provide a reliable reference for rapid, accurate and efficient detection of IAV, and to contribute to the diagnosis, treatment, prevention, and control of IAV.
. 2024 Jul 1.
doi: 10.1039/d4ay00508b. Online ahead of print. An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies
Bin Peng[SUP] 1 [/SUP], Yaqi Wang[SUP] 2 [/SUP], Yueliang Xie[SUP] 3 [/SUP], Xiangyan Dong[SUP] 4 [/SUP], Wen Liu[SUP] 3 [/SUP], Dan Li[SUP] 5 [/SUP], Hui Chen[SUP] 4 [/SUP]
Affiliations
- PMID: 38946516
- DOI: 10.1039/d4ay00508b
Influenza A virus (IAV), a common respiratory infectious pathogen, poses a significant risk to personal health and public health safety due to rapid mutation and wide host range. To better prevent and treat IAV, comprehensive measures are needed for early and rapid screening and detection of IAV. Although traditional laboratory-based techniques are accurate, they are often time-consuming and not always feasible in emergency or resource-limited areas. In contrast, emerging point-of-care strategies provide faster results but may compromise sensitivity and specificity. Here, this review critically evaluates various detection methods for IAV from established laboratory-based procedures to innovative rapid diagnosis. By analyzing the recent research progress, we aim to address significant gaps in understanding the effectiveness, practicality, and applicability of these methods in different scenarios, which could provide information for healthcare strategies, guide public health response measures, and ultimately strengthen patient care in the face of the ongoing threat of IAV. Through a detailed comparison of diagnostic models, this review can provide a reliable reference for rapid, accurate and efficient detection of IAV, and to contribute to the diagnosis, treatment, prevention, and control of IAV.