» Articles » PMID: 36134263

Biologically Interfaced Nanoplasmonic Sensors

Overview
Journal Nanoscale Adv
Specialty Biotechnology
Date 2022 Sep 22
PMID 36134263
Authors
Affiliations
Soon will be listed here.
Abstract

Understanding biointerfacial processes is crucial in various fields across fundamental and applied biology, but performing quantitative studies conventional characterization techniques remains challenging due to instrumentation as well as analytical complexities and limitations. In order to accelerate translational research and address current challenges in healthcare and medicine, there is an outstanding need to develop surface-sensitive technologies with advanced measurement capabilities. Along this line, nanoplasmonic sensing has emerged as a powerful tool to quantitatively study biointerfacial processes owing to its high spatial resolution at the nanoscale. Consequently, the development of robust biological interfacing strategies becomes imperative to maximize its characterization potential. This review will highlight and discuss the critical role of biological interfacing within the context of constructing nanoplasmonic sensing platforms for biointerfacial science applications. Apart from paving the way for the development of highly surface-sensitive characterization tools that will spur fundamental biological interaction studies and improve the overall understanding of biological processes, the basic principles behind biointerfacing strategies presented in this review are also applicable to other fields that involve an interface between an inorganic material and a biological system.

Citing Articles

Bio-Inspired Nanomembranes as Building Blocks for Nanophotonics, Plasmonics and Metamaterials.

Jaksic Z, Obradov M, Jaksic O Biomimetics (Basel). 2022; 7(4).

PMID: 36546922 PMC: 9775387. DOI: 10.3390/biomimetics7040222.

References
1.
Nguyen H, Park J, Kang S, Kim M . Surface plasmon resonance: a versatile technique for biosensor applications. Sensors (Basel). 2015; 15(5):10481-510. PMC: 4481982. DOI: 10.3390/s150510481. View

2.
Cox J, de Abajo F . Nonlinear Graphene Nanoplasmonics. Acc Chem Res. 2019; 52(9):2536-2547. DOI: 10.1021/acs.accounts.9b00308. View

3.
Malkiel I, Mrejen M, Nagler A, Arieli U, Wolf L, Suchowski H . Plasmonic nanostructure design and characterization via Deep Learning. Light Sci Appl. 2019; 7:60. PMC: 6123479. DOI: 10.1038/s41377-018-0060-7. View

4.
Helix-Nielsen C . Biomimetic Membranes as a Technology Platform: Challenges and Opportunities. Membranes (Basel). 2018; 8(3). PMC: 6161077. DOI: 10.3390/membranes8030044. View

5.
Sut T, Jackman J, Cho N . Understanding How Membrane Surface Charge Influences Lipid Bicelle Adsorption onto Oxide Surfaces. Langmuir. 2019; 35(25):8436-8444. DOI: 10.1021/acs.langmuir.9b00570. View