Innovative Nanosensor for Disease Diagnosis

纳米传感器 疾病 纳米技术 计算机科学 医学 材料科学 病理
作者
Sang‐Joon Kim,Seon‐Jin Choi,Ji‐Soo Jang,Hee‐Jin Cho,Il‐Doo Kim
出处
期刊:Accounts of Chemical Research [American Chemical Society]
卷期号:50 (7): 1587-1596 被引量:238
标识
DOI:10.1021/acs.accounts.7b00047
摘要

As a futuristic diagnosis platform, breath analysis is gaining much attention because it is a noninvasive, simple, and low cost diagnostic method. Very promising clinical applications have been demonstrated for diagnostic purposes by correlation analysis between exhaled breath components and specific diseases. In addition, diverse breath molecules, which serve as biomarkers for specific diseases, are precisely identified by statistical pattern recognition studies. To further improve the accuracy of breath analysis as a diagnostic tool, breath sampling, biomarker sensing, and data analysis should be optimized. In particular, development of high performance breath sensors, which can detect biomarkers at the ppb-level in exhaled breath, is one of the most critical challenges. Due to the presence of numerous interfering gas species in exhaled breath, selective detection of specific biomarkers is also important. This Account focuses on chemiresistive type breath sensors with exceptionally high sensitivity and selectivity that were developed by combining hollow protein templated nanocatalysts with electrospun metal oxide nanostructures. Nanostructures with high surface areas are advantageous in achieving high sensitivity because the sensing signal is dominated by the surface reaction between the sensing layers and the target biomarkers. Furthermore, macroscale pores between one-dimensional (1D) nanostructures can facilitate fast gas diffusion into the sensing layers. To further enhance the selectivity, catalytic functionalization of the 1D metal oxide nanostructure is essential. However, the majority of conventional techniques for catalytic functionalization have failed to achieve a high degree of dispersion of nanoscale catalysts due to aggregation on the surface of the metal oxide, which severely deteriorates the sensing properties by lowering catalytic activity. This issue has led to extensive studies on monolithically dispersed nanoscale particles on metal oxides to maximize the catalytic performances. As a pioneering technique, a bioinspired templating route using apoferritin, that is, a hollow protein cage, has been proposed to obtain nanoscale (∼2 nm) catalyst particles with high dispersity. Nanocatalysts encapsulated by a protein shell were first used in chemiresistive type breath sensors for catalyst functionalization on 1D metal oxide structures. We discuss the robustness and versatility of the apoferrtin templating route for creating highly dispersive catalytic NPs including single components (Au, Pt, Pd, Rh, Ag, Ru, Cu, and La) and bimetallic catalysts (PtY and PtCo), as well as the core-shell structure of Au-Pd (Au-core@Pd-shell). The use of these catalysts is essential to establish high performance sensors arrays for the pattern recognition of biomarkers. In addition, novel multicomponent catalysts provide unprecedented sensitivity and selectivity. With this in mind, we discuss diverse synthetic routes for nanocatalysts using apoferritin and the formation of various catalyst-1D metal oxide composite nanostructures. Furthermore, we discuss detection capability of a simulated biomarker gas using the breath sensor arrays and principal component analysis. Finally, future prospects with the portable breath analysis platform are presented by demonstrating the potential feasibility of real-time and on-site breath analysis using chemiresistive sensors.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
1秒前
Juliette发布了新的文献求助10
1秒前
2秒前
三角架发布了新的文献求助10
2秒前
呼叫554发布了新的文献求助10
3秒前
斯文败类应助lmh采纳,获得10
4秒前
66发布了新的文献求助10
4秒前
Rain发布了新的文献求助10
6秒前
勤奋沛儿完成签到,获得积分20
6秒前
6秒前
7秒前
量子星尘发布了新的文献求助10
7秒前
沉默清发布了新的文献求助10
9秒前
魔幻诗兰完成签到,获得积分10
10秒前
梁婧茵完成签到,获得积分20
10秒前
10秒前
10秒前
归海楷瑞完成签到,获得积分10
11秒前
11秒前
luis发布了新的文献求助10
11秒前
领导范儿应助Juliette采纳,获得10
12秒前
顾矜应助祥子的骆驼采纳,获得10
12秒前
wanci应助LingLu采纳,获得10
12秒前
lingudu发布了新的文献求助10
13秒前
CipherSage应助红叶采纳,获得10
13秒前
莃莃莃喜欢你完成签到 ,获得积分10
13秒前
14秒前
14秒前
思源应助Suliove采纳,获得10
14秒前
凹凸曼完成签到,获得积分10
14秒前
杨乃彬完成签到,获得积分10
14秒前
三百一十四完成签到 ,获得积分10
15秒前
..完成签到,获得积分10
15秒前
16秒前
一包辣条完成签到,获得积分10
17秒前
白云四季发布了新的文献求助10
17秒前
17秒前
上官若男应助成天睡大觉采纳,获得10
17秒前
huangqian发布了新的文献求助10
18秒前
高分求助中
(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
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Alloy Phase Diagrams 1000
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 891
Historical Dictionary of British Intelligence (2014 / 2nd 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 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 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5424571
求助须知:如何正确求助?哪些是违规求助? 4538919
关于积分的说明 14164314
捐赠科研通 4455873
什么是DOI,文献DOI怎么找? 2443988
邀请新用户注册赠送积分活动 1435060
关于科研通互助平台的介绍 1412452