Determination of lactate levels in biological fluids using a disposable ion-selective potentiometric sensor based on polypyrrole films

电位滴定法 重复性 电位传感器 聚吡咯 检出限 线性范围 再现性 色谱法 选择性 分析化学(期刊) 化学 材料科学 电极 电化学 生物化学 催化作用 物理化学
作者
Priscilla Mengarda,Fernando Augusto Lavezzo Dias,João Victor Capelli Peixoto,Raúl Osiecki,Márcio F. Bergamini,Luiz H. Marcolino‐Júnior
出处
期刊:Sensors and Actuators B-chemical [Elsevier]
卷期号:296: 126663-126663 被引量:35
标识
DOI:10.1016/j.snb.2019.126663
摘要

In this work, we present a lactate-selective potentiometric sensor as simple, low cost and non-enzymatic alternative for application in three different biological fluids. The selectivity of proposed sensor is based on a polypyrrole matrix doped with lactate ions in its structure which occurs during galvanostatic polymerization step. After optimization, the device showed a wide linear range between 0.1 and 10.0 mmol L−1 with a slope of 23.7 ± 0.2 mV dec−1, a limit of detection (LOD) of 81 μmol L−1, and excellent repeatability (RSD = 2.1%) and reproducibility (RSD = 2.7%). Tests to evaluate the influence of possible interferences were performed, in which the sensor showed good selectivity to lactate ions. The sensor was applied to evaluate lactate levels in human tear samples and a linear correlation with lactate levels in blood samples (R2 = 0.977) was found. In order to assess lactate levels before and after intense physical activity, blood samples from rats and human sweat samples were analyzed. For both fluids the potential variation was obtained, and in comparison to the lactate analysis in blood by portable device, the human sweat response was confirmed by the proposed method. Thus, the developed sensor demonstrated a viable and efficient electroanalytical tool to the current commercial devices, especially to support in physical performance evaluations.

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
洛尚完成签到,获得积分10
刚刚
czq完成签到,获得积分10
刚刚
VVhahaha完成签到,获得积分10
1秒前
limof发布了新的文献求助10
1秒前
2秒前
小葡萄完成签到 ,获得积分10
2秒前
3秒前
wu发布了新的文献求助30
3秒前
4秒前
毕业就好发布了新的文献求助10
4秒前
4秒前
4秒前
冷艳乐松发布了新的文献求助10
5秒前
iedq完成签到 ,获得积分10
5秒前
嗯呢发布了新的文献求助10
5秒前
vivienne完成签到,获得积分10
5秒前
搜集达人应助2021的萌爷爷采纳,获得10
5秒前
烟花不能太放肆关注了科研通微信公众号
5秒前
zyy完成签到,获得积分10
5秒前
6秒前
6秒前
wanci应助细腻晓露采纳,获得10
6秒前
Lucas应助XinyiZhang采纳,获得10
7秒前
科研通AI2S应助芋头采纳,获得10
8秒前
瘦瘦的铅笔完成签到 ,获得积分10
8秒前
manan发布了新的文献求助10
8秒前
01259发布了新的文献求助30
8秒前
8秒前
斯文败类应助zyh945采纳,获得10
8秒前
南山无梅落完成签到 ,获得积分10
8秒前
淡定吃吃完成签到,获得积分10
8秒前
科研通AI5应助称心砖头采纳,获得10
9秒前
淡淡从蕾完成签到,获得积分10
9秒前
Ehgnix完成签到,获得积分10
9秒前
嘴嘴是大嘴007完成签到,获得积分10
10秒前
10秒前
但愿完成签到 ,获得积分10
10秒前
犹豫的一斩应助Pangsj采纳,获得10
11秒前
Jenny应助wjs0406采纳,获得10
11秒前
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740