{"title":"A rapid and highly sensitive fluorescence immunochromatographic test strip for pepsin detection in human hypopharyngeal saliva.","authors":"Yaqi Liu, Lihong Chen, Jingtian Huang, Jialing Zhang, Shuting Chen, Zhenyu Lin, Ting Chen","doi":"10.1039/d4ay01833h","DOIUrl":null,"url":null,"abstract":"<p><p>Pepsin serves as a potential biomarker for laryngopharyngeal reflux disease (LPRD). The reported methods for detecting pepsin still have limitations, such as long reaction times and low sensitivity. Therefore, it is crucial to develop a rapid, simple and sensitive detection method. In this study, a fluorescence immunochromatographic test strip was designed for point-of-care diagnostics of LPRD. To obtain optimal fluorescence immunochromatographic conditions, key experimental factors, including microsphere particle size, binding pH, and resuspension dilution ratio, were systematically evaluated. The optimal fluorescent microsphere size was determined to be 300 nm, the most suitable reaction pH was 8.0, and the ideal resuspension solution to storage solution ratio was 1 : 4. Under these optimal conditions, the sensor had a linear range of 2.5-100.0 ng mL<sup>-1</sup> and a detection limit of 1.9 ng mL<sup>-1</sup>. The relative standard deviation was below 15% for both intra- and inter-batch reproducibility. Under accelerated damage conditions at 37 °C, the test value of the test strip could be kept basically unchanged for 14 days. There was no cross-reactivity of the test strip with pepsinogen I, pepsinogen II and other interferents. In the actual sample detection, the recovery rate was between 85% and 115%. Furthermore, the proposed method was demonstrated to be green and to exhibit strong applicability based on the evaluation using the AGREEprep and the BAGI. In addition, the method has the advantages of high sensitivity, accuracy, greenness and applicability, which can meet the needs of rapid quantitative on-site detection.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Methods","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d4ay01833h","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Pepsin serves as a potential biomarker for laryngopharyngeal reflux disease (LPRD). The reported methods for detecting pepsin still have limitations, such as long reaction times and low sensitivity. Therefore, it is crucial to develop a rapid, simple and sensitive detection method. In this study, a fluorescence immunochromatographic test strip was designed for point-of-care diagnostics of LPRD. To obtain optimal fluorescence immunochromatographic conditions, key experimental factors, including microsphere particle size, binding pH, and resuspension dilution ratio, were systematically evaluated. The optimal fluorescent microsphere size was determined to be 300 nm, the most suitable reaction pH was 8.0, and the ideal resuspension solution to storage solution ratio was 1 : 4. Under these optimal conditions, the sensor had a linear range of 2.5-100.0 ng mL-1 and a detection limit of 1.9 ng mL-1. The relative standard deviation was below 15% for both intra- and inter-batch reproducibility. Under accelerated damage conditions at 37 °C, the test value of the test strip could be kept basically unchanged for 14 days. There was no cross-reactivity of the test strip with pepsinogen I, pepsinogen II and other interferents. In the actual sample detection, the recovery rate was between 85% and 115%. Furthermore, the proposed method was demonstrated to be green and to exhibit strong applicability based on the evaluation using the AGREEprep and the BAGI. In addition, the method has the advantages of high sensitivity, accuracy, greenness and applicability, which can meet the needs of rapid quantitative on-site detection.