MEASURE: Multiplex Exhaled Breath Condensate – Scanning Using Rapid Electro-Analytics

呼出气冷凝液 多路复用 检出限 生物标志物 金标准(测试) 色谱法 呼吸系统 化学 医学 内科学 哮喘 生物信息学 生物 生物化学
作者
Ashlesha Bhide,Mohammed A. Eldeeb,Madhavi Pali,Sriram Muthukumar,Shalini Prasad
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:8 (9): 3408-3416
标识
DOI:10.1021/acssensors.3c00693
摘要

Exhaled breath condensate is an emerging source of inflammatory biomarkers suitable for the noninvasive detection of respiratory disorders. Current gold standard methods are highly invasive and pose challenges in sample collection during airway inflammation monitoring. Cytokine biomarkers are detectable in EBC at increased or decreased concentrations. IL-6, IL-1β, IL-8, and hs-CRP are characteristic biomarkers identified in respiratory disorders. We have demonstrated the promising outcomes of a 16-plexed electrochemical platform - READ 2.0 for the multiplexed detection of characteristic biomarkers in EBC. The sensor demonstrates dynamic ranges of 1-243 pg/mL with a lower detection limit of 1 pg/mL for IL-6 and IL-1β, while the detection range and limit of detection for IL-8 and hs-CRP is 1-150 pg/mL and 3 pg/mL, respectively. The detection accuracies for the biomarkers are in the range of ∼85 ± 15% to ∼100 ± 10%. The sensor shows a nonspecific response to similar cross-reacting biomarkers. Analytical validation of the sensor with ELISA as the standard reference generated a correlation of R2 > 0.96 and mean biases of 10.9, 3.5, 17.4, and 3.9 pg/mL between the two methods for IL-6, IL-1β, IL-8, and hs-CRP, respectively. The precision of the sensor in detecting low biomarker concentrations yields a %CV of <7%. The variation in the sensor's response on repeat EBC sample measurements and within a 6 h duration is less than 10%. The READ 2.0 platform shows a promise that EBC-based biomarker detection can prove to be vital in predicting the severity and survival rates of respiratory disorders and serve as a reference point for monitoring EBC-based biomarkers.
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
连糜完成签到,获得积分10
刚刚
刚刚
汉堡包应助Chem采纳,获得100
刚刚
wanci应助金金采纳,获得10
刚刚
嗷嗷嗷完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
4秒前
4秒前
能干的邹发布了新的文献求助10
5秒前
5秒前
小t要读top博完成签到,获得积分10
5秒前
plm发布了新的文献求助10
5秒前
6秒前
Yaon-Xu完成签到,获得积分10
6秒前
6秒前
song发布了新的文献求助10
6秒前
7秒前
7秒前
子车友易发布了新的文献求助10
7秒前
干净的琦发布了新的文献求助10
8秒前
oo发布了新的文献求助10
8秒前
COCONUT发布了新的文献求助70
9秒前
张先生发布了新的文献求助10
9秒前
9秒前
10秒前
啵啵应助ly采纳,获得10
10秒前
11秒前
11秒前
11秒前
11秒前
zzzz应助eo采纳,获得10
12秒前
12秒前
Lemontree发布了新的文献求助10
13秒前
yjh123应助zzj123采纳,获得30
13秒前
Lynn完成签到,获得积分10
13秒前
song完成签到,获得积分10
14秒前
律笺文完成签到,获得积分10
14秒前
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7554081
求助须知:如何正确求助?哪些是违规求助? 9136576
关于积分的说明 19527469
捐赠科研通 7145332
什么是DOI,文献DOI怎么找? 3260797
关于科研通互助平台的介绍 2427234
邀请新用户注册赠送积分活动 2249806