Devising novel near-infrared aggregation-induced-emission luminogen labeling for point-of-care diagnosis of <i>Mycobacterium tuberculosis </i>

肺结核 结核分枝杆菌 医学 病菌 微生物学 结核病诊断 病毒学 免疫学 病理 生物
作者
Guiqin Dai,Pengfei Zhao,Lijun Song,Zhuojun He,Deliang Liu,Xiangke Duan,Qianting Yang,Wenchang Zhao,Jiayin Shen,Tetsuya Asakawa,Mingbin Zheng,Hongzhou Lu
出处
期刊:BioScience Trends [International Research and Cooperation Association for Bio & Socio-Sciences Advancement]
卷期号:17 (3): 234-238 被引量:4
标识
DOI:10.5582/bst.2023.01087
摘要

Detecting and appropriately diagnosing a Mycobacterium tuberculosis infection remains technologically difficult because the pathogen commonly hides in macrophages in a dormant state. Described here is novel near-infrared aggregation-induced-emission luminogen (AIEgen) labeling developed by the current authors' laboratory for point-of-care (POC) diagnosis of an M. tuberculosis infection. The selectivity of AIEgen labeling, the labeling of intracellular M. tuberculosis by AIEgen, and the labeling of M. tuberculosis in sputum samples by AIEgen, along with its accuracy, sensitivity, and specificity, were preliminarily evaluated. Results indicated that this near-infrared AIEgen labeling had satisfactory selectivity and it labeled intracellular M. tuberculosis and M. tuberculosis in sputum samples. It had a satisfactory accuracy (95.7%), sensitivity (95.5%), and specificity (100%) for diagnosis of an M. tuberculosis infection in sputum samples. The current results indicated that near-infrared AIEgen labeling might be a promising novel diagnostic tool for POC diagnosis of M. tuberculosis infection, though further rigorous verification of these findings is required.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
DOG发布了新的文献求助10
1秒前
充电宝应助调皮的天真采纳,获得10
1秒前
之组长了发布了新的文献求助10
2秒前
fugu0完成签到,获得积分10
3秒前
NY完成签到,获得积分10
3秒前
4秒前
5秒前
5秒前
踢踢踢踢踢死你完成签到,获得积分10
6秒前
msirtx完成签到,获得积分10
6秒前
共享精神应助shiyu采纳,获得10
7秒前
追寻清完成签到,获得积分10
7秒前
酷炫素完成签到,获得积分10
7秒前
7秒前
小蘑菇应助之组长了采纳,获得30
8秒前
Akim应助yi采纳,获得10
8秒前
PG发布了新的文献求助10
8秒前
yang完成签到,获得积分10
9秒前
丁三问发布了新的文献求助10
9秒前
10秒前
哈哈哈发布了新的文献求助10
10秒前
不爱科研发布了新的文献求助10
11秒前
Ava应助Run采纳,获得10
14秒前
14秒前
长情的涔完成签到 ,获得积分10
14秒前
dyuguo3完成签到 ,获得积分10
15秒前
丁三问完成签到,获得积分10
16秒前
16秒前
17秒前
yy发布了新的文献求助10
17秒前
17秒前
刘清河发布了新的文献求助10
18秒前
勤奋颜演完成签到 ,获得积分10
18秒前
叮咚发布了新的文献求助10
19秒前
Jyuanh发布了新的文献求助10
21秒前
21秒前
pfffff完成签到,获得积分10
22秒前
22秒前
yvonne发布了新的文献求助10
22秒前
迷你的白梦完成签到,获得积分20
22秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
How Maoism Was Made: Reconstructing China, 1949-1965 800
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3310273
求助须知:如何正确求助?哪些是违规求助? 2943254
关于积分的说明 8513427
捐赠科研通 2618482
什么是DOI,文献DOI怎么找? 1431111
科研通“疑难数据库(出版商)”最低求助积分说明 664374
邀请新用户注册赠送积分活动 649557