Colorimetric Detection Based on Localized Surface Plasmon Resonance for Determination of Chemicals in Urine

表面等离子共振 化学 纳米材料 纳米技术 生物传感器 胶体金 肉眼 纳米颗粒 比色法 银纳米粒子 生物分析 等离子体子 毒品检测 检出限 色谱法 材料科学 光电子学 生物化学
作者
Chutiparn Lertvachirapaiboon,Akira Baba,Kazunari Shinbo,Keizo Kato
出处
期刊:Analytical Sciences [Springer Nature]
卷期号:37 (7): 929-940 被引量:2
标识
DOI:10.2116/analsci.20r005
摘要

Colorimetric sensors based on localized surface plasmon resonance (LSPR) have attracted much attention for biosensor and chemical sensor applications. The unique optical effect of LSPR is based on the nanostructure of noble metals (e.g., Au, Ag, and Al) and the refractive index of the environment surrounding these metal nanomaterials. When either the structure or the environment of these nanomaterials is changed, their optical properties change and can be observed by spectroscopic techniques or the naked eye. Colorimetric-probe-based LSPR provides a simple, rapid, real-time, nonlabelled, sensitive biochemical detection and can be used for point-of-care testing as well as rapid screening for the diagnosis of various diseases. Gold and silver nanoparticles, which are the two most widely used plasmonic nanomaterials, demonstrate strong and sensitive LSPR signals that can be used for the selective detection of several chemicals in biochemical compounds provided by the human body (e.g., urine and blood). This information can be used for the diagnosis of several human health conditions. This paper provides information regarding colorimetric probes based on LSPR for the detection of three major chemicals in human urine: creatinine, albumin, and glucose. In addition, the mechanisms of selective detection and quantitative analysis of these chemicals using metal nanoparticles are discussed along with colorimetric-detection-based LSPR for many other specific chemicals that can be detected in urine, such as catecholamine neurotransmitters, thymine, and various medicines. Furthermore, issues regarding the use of portable platforms for health monitoring with colorimetric detection based on LSPR are discussed.

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
xuan发布了新的文献求助30
刚刚
大王完成签到,获得积分10
1秒前
REN关闭了REN文献求助
2秒前
3秒前
iitj完成签到,获得积分10
4秒前
5秒前
5秒前
5秒前
5秒前
福尔摩曦发布了新的文献求助10
8秒前
8秒前
昼曦萦完成签到,获得积分10
8秒前
丁帅发布了新的文献求助20
10秒前
10秒前
酷酷曼青完成签到,获得积分10
10秒前
小白完成签到,获得积分10
11秒前
WN发布了新的文献求助10
11秒前
天天发布了新的文献求助10
11秒前
12秒前
嘎嘎咻发布了新的文献求助10
12秒前
lemon发布了新的文献求助10
12秒前
Nole应助好好学习采纳,获得10
13秒前
13秒前
xuan发布了新的文献求助10
14秒前
Survivor完成签到,获得积分10
14秒前
无辜紫菜发布了新的文献求助10
15秒前
糊辣椒完成签到 ,获得积分10
16秒前
HalfGumps完成签到,获得积分10
17秒前
Liulu发布了新的文献求助10
19秒前
借过123完成签到,获得积分10
19秒前
可爱的函函应助爱笑的芙采纳,获得10
19秒前
xuan发布了新的文献求助10
21秒前
丘比特应助Space采纳,获得10
23秒前
23秒前
REN发布了新的文献求助10
24秒前
prigogin应助天天采纳,获得10
24秒前
prigogin应助天天采纳,获得10
24秒前
张欢馨应助天天采纳,获得10
24秒前
25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 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 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 7583748
求助须知:如何正确求助?哪些是违规求助? 9162418
关于积分的说明 19607104
捐赠科研通 7165717
什么是DOI,文献DOI怎么找? 3266302
关于科研通互助平台的介绍 2431220
邀请新用户注册赠送积分活动 2257789