Point-of-care monitoring of dry eye disease using lysozyme in tear based on commercial pregnancy test strips

溶菌酶 注意事项 检出限 检测点注意事项 条状物 医学 眼科 化学 色谱法 材料科学 病理 生物化学 复合材料
作者
Zhenzhen Jia,Wei Wei,Kangsheng Tu,Biyun Fang,Mingzhen Zhang,Lingling Shi
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:378: 133179-133179 被引量:10
标识
DOI:10.1016/j.snb.2022.133179
摘要

Dry eye disease (DED) is a common disease associated with ocular inflammation, which affects the vision of patients and the quality of their life. Therefore, it is of great significance to develop a point-of-care (POC) test for ancillary detection of DED. In this study, we designed a lysozyme (LYZ) detection method for DED diagnosis using commercial pregnancy test strips as readout. A human chorionic gonadotropin-LYZ aptamer (hCG-apt) signal probe was adsorbed by large scale of graphene oxide (GO). The LYZ specifically binds hCG-apt to form hCG-apt/LYZ complex, which could keep away from GO surface ascribed to the conformation change of hCG-apt and could be recognized by hCG test strip. Thus, the LYZ level could be estimated according to the color intensity on the hCG strip. Under the optimal conditions, LYZ could be quantitatively analyzed within 45 min with a detection limit of 0.80 µg/ml. It was observed that the average LYZ concentration (48.62 ± 11.14 μg/ml) in the tear of DED patients caused by ophthalmic surgery was lower than that in healthy people (78.42 ± 14.86 μg/ml), indicating that LYZ in tear might be as a potential biomarker for evaluating DED. In conclusion, a LYZ detection platform characterized with low-cost, fast, and efficient was established to help in DED diagnosis and provided a significant reference for other biomarkers POC detection.
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
刚刚
1秒前
苹果寇完成签到,获得积分10
1秒前
外向的惜文完成签到,获得积分10
1秒前
cdercder给云飞扬的求助进行了留言
1秒前
缥莲发布了新的文献求助10
2秒前
叶白山完成签到,获得积分10
2秒前
3秒前
3秒前
神勇雨双完成签到,获得积分10
3秒前
3秒前
4秒前
4秒前
独角Jing完成签到,获得积分10
5秒前
5秒前
蒋溶发布了新的文献求助10
5秒前
Shaco发布了新的文献求助10
5秒前
5秒前
睿智的Frankie完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
6秒前
7秒前
难过惜灵发布了新的文献求助10
8秒前
有长进发布了新的文献求助10
8秒前
大福发布了新的文献求助10
9秒前
9秒前
9秒前
易哒哒发布了新的文献求助10
9秒前
9秒前
10秒前
予陆与你完成签到,获得积分10
10秒前
10秒前
10秒前
天娟完成签到,获得积分10
11秒前
11秒前
李怼怼完成签到,获得积分10
11秒前
11秒前
luanzhaohui完成签到,获得积分10
12秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 666
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3735423
求助须知:如何正确求助?哪些是违规求助? 3279372
关于积分的说明 10014345
捐赠科研通 2996002
什么是DOI,文献DOI怎么找? 1643782
邀请新用户注册赠送积分活动 781471
科研通“疑难数据库(出版商)”最低求助积分说明 749400