Junyu Zhang, Xiaojing Zhang, Hangming Xiong, Weijie Yu, Keiing Ying, H. Wan, Ping Wang
{"title":"The Love Wave Biosensor for the Detection of the Bacterial Pneumonia Biomarker C-reactive Protein","authors":"Junyu Zhang, Xiaojing Zhang, Hangming Xiong, Weijie Yu, Keiing Ying, H. Wan, Ping Wang","doi":"10.1109/ISOEN54820.2022.9789642","DOIUrl":null,"url":null,"abstract":"Bacterial pneumonia is the most common type of pneumonia and poses a great threat to the health of children and the elderly. The early screening and identification of pneumonia is crucial for the medication and treatment of pneumonia. Currently, the clinical imaging methods are difficult to identify pathogens, and bacteriological tests are time-consuming or invasive. These methods are not conducive to early pneumonia screening and diagnosis, resulting in delays in patient treatment. In this study, an automated instrument based on the Love Wave biosensor is developed for the detection of potential disease biomarkers, especially in exhaled breath condensates (EBCs). It can be used for the rapid detection of multiple bacterial pneumonia biomarkers. The preliminary results show that the biosensor has good linearity in detecting C-reactive protein (CRP). This high-throughput instrument is expected to be used for the early diagnosis of bacterial pneumonia as well as more accurate identification of pneumonia pathogens.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOEN54820.2022.9789642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Bacterial pneumonia is the most common type of pneumonia and poses a great threat to the health of children and the elderly. The early screening and identification of pneumonia is crucial for the medication and treatment of pneumonia. Currently, the clinical imaging methods are difficult to identify pathogens, and bacteriological tests are time-consuming or invasive. These methods are not conducive to early pneumonia screening and diagnosis, resulting in delays in patient treatment. In this study, an automated instrument based on the Love Wave biosensor is developed for the detection of potential disease biomarkers, especially in exhaled breath condensates (EBCs). It can be used for the rapid detection of multiple bacterial pneumonia biomarkers. The preliminary results show that the biosensor has good linearity in detecting C-reactive protein (CRP). This high-throughput instrument is expected to be used for the early diagnosis of bacterial pneumonia as well as more accurate identification of pneumonia pathogens.