SERS/photothermal-based dual-modal lateral flow immunoassays for sensitive and simultaneous antigen detection of respiratory viral infections

检出限 多路复用 检测点注意事项 免疫分析 抗原 胶体金 病毒学 材料科学 医学 纳米技术 化学 免疫学 抗体 纳米颗粒 色谱法 生物 生物信息学
作者
Jiajie Liang,Lei Wu,Yaqi Wang,Wanli Liang,Yanqiang Hao,Minzhang Tan,Guanbo He,Dequan Lv,Zhaoguang Wang,Tengyue Zeng,Xiaoli Zhang,Cheng Lü,Qifang Song,Bin Peng,Jianfu Zhao,Bing Zhu,Tang Yong
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:389: 133875-133875 被引量:29
标识
DOI:10.1016/j.snb.2023.133875
摘要

Lateral flow immunoassay (LFIA) is one of the most common analytical platforms for point-of-care testing (POCT), which is capable of large-scale primary screening and home self-testing of infectious diseases. However, the sensitivity of conventional AuNPs-based LFIA is relatively low and more prone to false negatives. Herein, we report a novel LFIA based on gold-core-silver-shell bimetallic nanoparticles (Au4-ATP@Ag NPs) emitting Surface-enhanced Raman scatting (SERS) and Photothermal (PT) effect, named SERS/PT-based dual-modal LFIA (SERS/PT-dmLFIA), for the antigen detection of infectious diseases pathogens, which displayed an excellent performance. For influenza A virus (IAV), influenza B virus (IBV), and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) N protein detection, the limit of detections (LoD) with Raman as signal were 31.25, 93.75, and 31.25 pg mL-1 respectively, and the LoDs with temperature difference (∆T) as signal were as low as 15.63, 187.5, and 15.63 pg mL-1 respectively, which were over 4-fold more sensitive than visual-based LFIA. The proposed SERS/PT-dmLFIA was used for detecting virus antigen in pharyngeal swabs and showed ideal coincidence rate of over 95% compared to the commercialized assays. In addition, we explored the development of multiplex SERS/PT-dmLFIA that can detect IAV, IBV, and SARS-CoV-2 antigens simultaneously without cross reactivity. Overall, the SERS/PT-dmLFIA for antigen detection not only exhibits high sensitivity, accuracy and specificity, but also have characteristics of rapidity and simplicity, which holds high potential for rapid diagnosis of infectious diseases in laboratory testing, mass screening, and home self-testing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
盘菜应助松林采纳,获得10
刚刚
Felix完成签到,获得积分10
刚刚
1秒前
1秒前
SY发布了新的文献求助10
3秒前
3秒前
WuX发布了新的文献求助10
4秒前
叶渐渐发布了新的文献求助30
4秒前
菠萝完成签到,获得积分10
5秒前
松林发布了新的文献求助10
6秒前
小宇宙完成签到,获得积分10
6秒前
松林发布了新的文献求助10
6秒前
6秒前
6秒前
李佳琪发布了新的文献求助10
7秒前
7秒前
小马甲应助Zhusy采纳,获得10
7秒前
大个应助nicolight采纳,获得10
7秒前
玖月完成签到 ,获得积分0
8秒前
8秒前
松林发布了新的文献求助10
8秒前
UHPC发布了新的文献求助10
9秒前
情怀应助SY采纳,获得10
10秒前
wshwx完成签到,获得积分10
10秒前
橘子的哈哈怪完成签到,获得积分10
11秒前
Nine完成签到,获得积分10
11秒前
11秒前
明明如月发布了新的文献求助10
13秒前
13秒前
李佳琪完成签到,获得积分20
13秒前
Mark完成签到,获得积分10
13秒前
海里的鱼额完成签到 ,获得积分10
14秒前
铭泽发布了新的文献求助10
14秒前
松林发布了新的文献求助10
14秒前
我是老大应助ccq采纳,获得10
15秒前
franklylyly完成签到,获得积分10
17秒前
18秒前
一顿完成签到,获得积分10
19秒前
YDSG完成签到,获得积分10
20秒前
困死了关注了科研通微信公众号
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6355911
求助须知:如何正确求助?哪些是违规求助? 8170708
关于积分的说明 17201874
捐赠科研通 5411923
什么是DOI,文献DOI怎么找? 2864440
邀请新用户注册赠送积分活动 1841925
关于科研通互助平台的介绍 1690226