Characterizing Antibody-Microsphere Conjugates for Fluorescence-Based Lateral Flow Immunoassays

Meilin Zhu, Ching-Wen Hou, U. Obahiagbon, K. Anderson, J. Christen
{"title":"Characterizing Antibody-Microsphere Conjugates for Fluorescence-Based Lateral Flow Immunoassays","authors":"Meilin Zhu, Ching-Wen Hou, U. Obahiagbon, K. Anderson, J. Christen","doi":"10.1109/LSC.2018.8572152","DOIUrl":null,"url":null,"abstract":"Fluorescence- based lateral flow immunoassays (LFIAs) remain relatively unexplored compared to colorimetric LFIAs for point-of-care (PoC) disease diagnosis and health monitoring. For fluorescence-based LFIAs, a major challenge includes the auto-fluorescence of the nitrocellulose and nonspecific binding of fluorescent polystyrene microspheres. In this paper, we aim to characterize antibody-microsphere conjugates in a fluorescence-based serological assay on nitrocellulose. Factors such as coating concentration and quantity of microspheres were considered and their impacts on nonspecific binding and signal-to-noise ratio are discussed. Finally, we use the determined conditions for the antibody-microsphere conjugates to demonstrate the sensitivity of a proof-of-concept assay detecting antibodies to Epstein-Barr Nuclear Antigen-1 in pooled human plasma samples. A titration of the seropositive plasma samples demonstrated a titer approaching 1:1,000 using only 30 μL of diluted sample and a sample-to-result time of less than one hour.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Life Sciences Conference (LSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LSC.2018.8572152","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

Fluorescence- based lateral flow immunoassays (LFIAs) remain relatively unexplored compared to colorimetric LFIAs for point-of-care (PoC) disease diagnosis and health monitoring. For fluorescence-based LFIAs, a major challenge includes the auto-fluorescence of the nitrocellulose and nonspecific binding of fluorescent polystyrene microspheres. In this paper, we aim to characterize antibody-microsphere conjugates in a fluorescence-based serological assay on nitrocellulose. Factors such as coating concentration and quantity of microspheres were considered and their impacts on nonspecific binding and signal-to-noise ratio are discussed. Finally, we use the determined conditions for the antibody-microsphere conjugates to demonstrate the sensitivity of a proof-of-concept assay detecting antibodies to Epstein-Barr Nuclear Antigen-1 in pooled human plasma samples. A titration of the seropositive plasma samples demonstrated a titer approaching 1:1,000 using only 30 μL of diluted sample and a sample-to-result time of less than one hour.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
荧光侧流免疫分析中抗体-微球偶联物的表征
与比色免疫测定法相比,基于荧光的侧流免疫测定法(LFIAs)在护理点(PoC)疾病诊断和健康监测方面仍然相对未被开发。对于基于荧光的LFIAs,主要的挑战包括硝化纤维素的自身荧光和荧光聚苯乙烯微球的非特异性结合。在本文中,我们的目的是表征抗体微球偶联物在基于荧光血清学分析硝基纤维素。考虑了涂层浓度和微球数量等因素对非特异性结合和信噪比的影响。最后,我们使用确定的抗体-微球偶联物的条件来证明概念验证分析在汇集的人类血浆样本中检测爱泼斯坦-巴尔核抗原-1抗体的敏感性。对血清阳性血浆样品的滴定表明,仅用30 μL的稀释样品和不到1小时的样品到结果时间,滴度接近1:10 000。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Veterinary Medicine Engineering Challenges and Opportunities Kinematic Data Clustering for Healthy Knee Gait Characterization A Nanosurface Microfluidic Device for Capture and Detection of Bacteria A Novel Fully Differential NMR Transciever Automated Enumeration and Classification of Bacteria in Fluorescent Microscopy Imagery
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1