重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

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
刚刚
刚刚
领导范儿应助gj采纳,获得20
刚刚
1秒前
tsss发布了新的文献求助10
1秒前
淡定草丛完成签到,获得积分10
2秒前
星辰大海应助Gaojin锦采纳,获得10
2秒前
JTHan发布了新的文献求助10
3秒前
小马甲应助梁云采纳,获得10
3秒前
3秒前
善学以致用应助Layla101采纳,获得10
3秒前
3秒前
李三婷完成签到,获得积分10
3秒前
4秒前
zhy完成签到 ,获得积分10
4秒前
张千惠发布了新的文献求助10
4秒前
caizhizhao发布了新的文献求助10
4秒前
4秒前
哈哈哈哈发布了新的文献求助10
4秒前
LL发布了新的文献求助10
5秒前
Axs完成签到,获得积分10
5秒前
Python_Liu完成签到 ,获得积分10
5秒前
槐零音发布了新的文献求助10
5秒前
桐桐应助奇奇怪怪采纳,获得10
6秒前
6秒前
领导范儿应助Wangle采纳,获得30
6秒前
无名之辈发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
7秒前
hhhhhh发布了新的文献求助30
7秒前
8秒前
顾矜应助wzc采纳,获得10
8秒前
小二郎应助zhuchenglu采纳,获得10
9秒前
wy.he举报lulu求助涉嫌违规
9秒前
可爱小菜完成签到,获得积分10
9秒前
9秒前
11秒前
xinzhongchen1发布了新的文献求助10
11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
List of 1,091 Public Pension Profiles by Region 1001
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
Unraveling the Causalities of Genetic Variations - Recent Advances in Cytogenetics 400
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 5466870
求助须知:如何正确求助?哪些是违规求助? 4570586
关于积分的说明 14326244
捐赠科研通 4497151
什么是DOI,文献DOI怎么找? 2463752
邀请新用户注册赠送积分活动 1452682
关于科研通互助平台的介绍 1427605