Advanced Tuneable Micronanoplatforms for Sensitive and Selective Multiplexed Spectroscopic Sensing via Electro‐Hydrodynamic Surface Molecular Lithography

Author:

Gomes Paulo De Carvalho1,Hin‐Chu Martin1,Rickard Jonathan James Stanley2,Goldberg Oppenheimer Pola13ORCID

Affiliation:

1. School of Chemical Engineering Advanced Nanomaterials Structures and Applications Laboratories College of Engineering and, Physical Sciences University of Birmingham Edgbaston Birmingham B15 2TT UK

2. Department of Physics Cavendish Laboratory University of Cambridge JJ Thomson Avenue Cambridge CB3 0HE UK

3. Healthcare Technologies Institute Institute of Translational Medicine Mindelsohn Way Birmingham B15 2TH UK

Abstract

AbstractMicro‐ and nanopatterning of materials, one of the cornerstones of emerging technologies, has transformed research capabilities in lab‐on‐a‐chip diagnostics. Herein, a micro‐ and nanolithographic method is developed, enabling structuring materials at the submicron scale, which can, in turn, accelerate the development of miniaturized platform technologies and biomedical sensors. Underpinning it is the advanced electro‐hydrodynamic surface molecular lithography, via inducing interfacial instabilities produces micro‐ and nanostructured substrates, uniquely integrated with synthetic surface recognition. This approach enables the manufacture of design patterns with tuneable feature sizes, which are functionalized via synthetic nanochemistry for highly sensitive, selective, rapid molecular sensing. The development of a high‐precision piezoelectric lithographic rig enables reproducible substrate fabrication with optimum signal enhancement optimized for functionalization with capture molecules on each micro‐ and nanostructured array. This facilitates spatial separation, which during the spectroscopic sensing, enables multiplexed measurement of target molecules, establishing the detection at minute concentrations. Subsequently, this nano‐plasmonic lab‐on‐a‐chip combined with the unconventional computational classification algorithm and surface enhanced Raman spectroscopy, aimed to address the challenges associated with timely point‐of‐care detection of disease‐indicative biomarkers, is utilized in validation assay for multiplex detection of traumatic brain injury indicative glycan biomarkers, demonstrating straightforward and cost‐effective micro‐ and nanoplatforms for accurate detection.

Funder

Wellcome Trust

Royal Academy of Engineering

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3