Engineering light-initiated afterglow lateral flow immunoassay for infectious disease diagnostics.
Engineering light-initiated afterglow lateral flow immunoassay for infectious disease diagnostics.
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用于传染病诊断的光引发余辉侧流免疫分析
DOI:
10.1016/j.bios.2022.114411
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发表时间:
2022-09-15
影响因子:
12.6
通讯作者:
中科院分区:
文献类型:
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作者:
The pandemic of highly contagious diseases has put forward urgent requirements for high sensitivity and adaptive capacity of point-of-care testing (POCT). Herein, for the first time, we report an aggregation-induced emission (AIE) dye-energized light-initiated afterglow nanoprobes (named LiAGNPs), implemented onto a lateral flow immunoassay (LFIA) test strip, for diagnosis of two highly contagious diseases, human immunodeficiency virus (HIV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as model validation. The primary working mechanism relies on the cyclically generated singlet oxygen (1O2)-triggered time-resolved luminescent signals of LiAGNPs in which AIE dyes (TTMN) and chemiluminescent substrates (SO) are loaded. The designed LiAGNPs were found 2-fold and 32-fold sensitive than the currently used Eu(III)-based time-resolved fluorescent nanoparticles and gold nanoparticles in lateral flow immunoassay (LFIA), respectively. In addition, the extra optical behaviors of nude color and fluorescence of LiAGNPs enable the LFIA platform with the capability of the naked eye and fluorescent detection to satisfy the applications under varying scenarios. In short, the versatile LiAGNPs have great potential as a novel time-resolved reporter in enhancing detection sensitivity and application flexibility with LFIA platform for rapid but sensitive infectious disease diagnostics. In this work, we report a novel light-Initiated afterglow nanoreporter with a remarkable time-resolved luminescence feature and testify its potential for sensitive detection of infectious disease on test strip.
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DOI:
10.1073/pnas.2014739117
发表时间:
2020-09-15
影响因子:
11.1
作者:
Ganguli A;Mostafa A;Berger J;Aydin MY;Sun F;Ramirez SAS;Valera E;Cunningham BT;King WP;Bashir R
通讯作者:
Bashir R
影响因子:
9.5
作者:
Huang, Liang;Jin, Jiening;Hu, Jun
通讯作者:
Hu, Jun
影响因子:
9.5
作者:
Li, Jianyong;Lin, Rui;Hao, Rongzhang
通讯作者:
Hao, Rongzhang
影响因子:
16.6
作者:
Chen, Jing;Hao, Liangwen;Tang, Ben Zhong
通讯作者:
Tang, Ben Zhong
影响因子:
64.8
作者:
Ackerman, Cheri M.;Myhrvold, Cameron;Sabeti, Pardis C.
通讯作者:
Sabeti, Pardis C.