Whole Urine-based Multiple Cancer Diagnosis and Metabolite Profiling using 3D Evolutionary Gold Nanoarchitecture Combined with Machine Learning-assisted SERS

胶体金 纳米孔 材料科学 纳米技术 检出限 生物医学工程 纳米颗粒 化学 色谱法 医学
作者
Muhammad Shalahuddin Al Ja’farawy,Vo Thi Nhat Linh,Jun-Young Yang,ChaeWon Mun,Seunghun Lee,Sung‐Gyu Park,In Woong Han,Samjin Choi,Min‐Young Lee,Dong‐Ho Kim,Ho Sang Jung
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:412: 135828-135828 被引量:1
标识
DOI:10.1016/j.snb.2024.135828
摘要

To develop onsite applicable cancer diagnosis technologies, a noninvasive human biofluid detection method with high sensitivity and specificity is required, available for classifying cancer from the normal group. Herein, a three-dimensional evolutionary gold nanoarchitecture (3D-EGN) is developed by forming Au nanosponge (AuS) on a 96-well plate, followed by a decoration of Au nanoparticles (AuNPs) evolved with Au nanolamination (AuNL) for high-throughput urine sensing in liquid phase. The 3D-EGN exhibits not only strong electromagnetic field generated from numerous hotspot regions between AuNPs and further enhanced light scattering from multigrain boundaries after lamination process, but also highly volumetric field due to nanoporous structure of AuS, which is advantageous for sensitive liquid-phase SERS detection. SERS activity of the 3D-EGN platform is characterized using malachite green, showing a limit detection of 1.23 × 10-9 M in liquid phase, and excellent uniformities both within single well and well-to-well with relative standard deviation (RSD) values of about 10%. The 3D-EGN platform has been demonstrated for the detection of whole clinical human urine samples, proving effective molecular sensing in the presence of Brownian motion from liquid medium. Subsequently, cancer metabolite candidates are investigated to verify the metabolic alternation of multicancer, including pancreatic, prostate, lung, and colorectal cancers, simultaneously classifying them into five different groups, including normal with an accuracy of 95.6%, using machine-learning methods. The integration of nanomaterials with the conventional clinical platform provides rapid and high-throughput multicancer diagnostic system and opens a new era for noninvasive diseases diagnosis using clinical human biofluids.
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
爆米花应助科研通管家采纳,获得10
刚刚
刚刚
1秒前
情怀应助不咸采纳,获得10
1秒前
缓慢海亦发布了新的文献求助10
2秒前
3秒前
能干的丸子完成签到,获得积分10
4秒前
宥啊发布了新的文献求助10
6秒前
my完成签到,获得积分10
6秒前
烟花应助吴军霄采纳,获得10
7秒前
卢莹发布了新的文献求助10
8秒前
9秒前
Wei完成签到,获得积分10
10秒前
聪慧芷巧发布了新的文献求助10
11秒前
xiaohong完成签到,获得积分10
12秒前
13秒前
宥啊完成签到,获得积分10
13秒前
14秒前
15秒前
香云完成签到 ,获得积分10
15秒前
33完成签到,获得积分10
15秒前
16秒前
17秒前
夹心饼干完成签到 ,获得积分10
17秒前
xiaohong发布了新的文献求助10
17秒前
17秒前
18秒前
18秒前
哇哇哇哇我应助jianmin采纳,获得20
18秒前
曾经富完成签到,获得积分10
18秒前
hh发布了新的文献求助10
20秒前
和风完成签到 ,获得积分10
20秒前
正在获取昵称中...完成签到,获得积分10
20秒前
adagio发布了新的文献求助10
21秒前
ll发布了新的文献求助10
21秒前
Asher发布了新的文献求助10
22秒前
22秒前
22秒前
聪慧芷巧发布了新的文献求助10
22秒前
完美世界应助果实采纳,获得10
23秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961083
求助须知:如何正确求助?哪些是违规求助? 3507362
关于积分的说明 11135622
捐赠科研通 3239835
什么是DOI,文献DOI怎么找? 1790434
邀请新用户注册赠送积分活动 872400
科研通“疑难数据库(出版商)”最低求助积分说明 803150