Advancing Microfluidic Immunity Testing Systems: New Trends for Microbial Pathogen Detection.
Yiran WangJingwei ChenYule ZhangZhijin YangKaihuan ZhangDawei ZhangLulu ZhengPublished in: Molecules (Basel, Switzerland) (2024)
Pathogenic microorganisms play a crucial role in the global disease burden due to their ability to cause various diseases and spread through multiple transmission routes. Immunity tests identify antigens related to these pathogens, thereby confirming past infections and monitoring the host's immune response. Traditional pathogen detection methods, including enzyme-linked immunosorbent assays (ELISAs) and chemiluminescent immunoassays (CLIAs), are often labor-intensive, slow, and reliant on sophisticated equipment and skilled personnel, which can be limiting in resource-poor settings. In contrast, the development of microfluidic technologies presents a promising alternative, offering automation, miniaturization, and cost efficiency. These advanced methods are poised to replace traditional assays by streamlining processes and enabling rapid, high-throughput immunity testing for pathogens. This review highlights the latest advancements in microfluidic systems designed for rapid and high-throughput immunity testing, incorporating immunosensors, single molecule arrays (Simoas), a lateral flow assay (LFA), and smartphone integration. It focuses on key pathogenic microorganisms such as SARS-CoV-2, influenza, and the ZIKA virus (ZIKV). Additionally, the review discusses the challenges, commercialization prospects, and future directions to advance microfluidic systems for infectious disease detection.
Keyphrases
- high throughput
- zika virus
- loop mediated isothermal amplification
- single molecule
- single cell
- sars cov
- label free
- immune response
- dengue virus
- sensitive detection
- infectious diseases
- real time pcr
- magnetic resonance
- aedes aegypti
- current status
- candida albicans
- microbial community
- circulating tumor cells
- magnetic resonance imaging
- inflammatory response
- toll like receptor