Metasurface-Enhanced Raman Spectroscopy (mSERS) for Oriented Molecular Sensing.

ACS Appl Mater Interfaces

Department of NanoEngineering, University of California, San Diego, 9500 Gilman Drive MC 0448, La Jolla, California 92093-0448, United States.

Published: July 2022

Surface-enhanced Raman spectroscopy (SERS) is a widely used sensing technique for ultrasensitivity chemical sensing, biomedical detection, and environmental analysis. Because SERS signal is proportional to the fourth power of the local electric field, several SERS applications have focused on the design of plasmonic nanogaps to take advantage of the extremely strong near-field enhancement that results from plasmonic coupling, but few designs have focused on how SERS detection is affected by molecular orientation within these nanogaps. Here, we demonstrate a nanoparticle-on-metal metasurface designed for near-perfect optical absorption as a platform for Raman detection of highly oriented molecular analytes, including two-dimensional materials and aromatic molecules. This metasurface platform overcomes challenges in nanoparticle aggregation, which commonly leads to low or fluctuating Raman signals in other colloidal nanoparticle platforms. Our metasurface-enhanced Raman spectroscopy (mSERS) platform is based on a colloidal Langmuir-Schaefer deposition, with up to 32% surface coverage density of nanogaps across an entire sensor chip. In this work, we perform both simulations of the local electric field and experimental characterization of the mSERS signal obtained for oriented molecular layers. We then demonstrate this mSERS platform for the quantitative detection of the drinking-water toxin polybrominated diphenyl ether (BDE-15), with a limit of detection of 0.25 μM under 530 μW excitation. This detection limit is comparable to other SERS-based sensors operating at laser powers over 3 orders of magnitude higher, indicating the promise of our mSERS platform for nondestructive and low-level analyte detection.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acsami.2c01656DOI Listing

Publication Analysis

Top Keywords

raman spectroscopy
12
oriented molecular
12
msers platform
12
metasurface-enhanced raman
8
spectroscopy msers
8
local electric
8
electric field
8
detection
7
msers
5
platform
5

Similar Publications

Effective Nitrate Electroconversion to Ammonia Using an Entangled CoO/Graphene Nanoribbon Catalyst.

ACS Appl Mater Interfaces

December 2024

Institute of Chemistry, Federal University of Mato Grosso do Sul, Avenida Senador Filinto Muller 1555, Campo Grande, Mato Grosso do Sul 79074-460, Brazil.

There has been huge interest among chemical scientists in the electrochemical reduction of nitrate (NO) to ammonia (NH) due to the useful application of NH in nitrogen fertilizers and fuel. To conduct such a complex reduction reaction, which involves eight electrons and eight protons, one needs to develop high-performance (and stable) electrocatalysts that favor the formation of reaction intermediates that are selective toward ammonia production. In the present study, we developed and applied CoO/graphene nanoribbon (GNR) electrocatalysts with excellent properties for the effective reduction of NO to NH, where NH yield rate of 42.

View Article and Find Full Text PDF

Multifunctional SERS Chip for Biological Application Realized by Double Fano Resonance.

Nanomaterials (Basel)

December 2024

Guangdong Provincial Key Laboratory of Photonics Information Technology, Guangdong University of Technology, Guangzhou 510006, China.

The in situ and label-free detection of molecular information in biological cells has always been a challenging problem due to the weak Raman signal of biological molecules. The use of various resonance nanostructures has significantly advanced Surface-enhanced Raman spectroscopy (SERS) in signal enhancement in recent years. However, biological cells are often immersed in different formulations of culture medium with varying refractive indexes and are highly sensitive to the temperature of the microenvironment.

View Article and Find Full Text PDF

Bimetallic (Ta/Ti, V, Co, Nb) mesoporous MCM-41 nanoparticles were obtained by direct synthesis and hydrothermal treatment. The obtained mesoporous materials were characterized by XRD, XRF, N adsorption/desorption, SEM, TEM, XPS, Raman, UV-Vis, and PL spectroscopy. A more significant effect was observed on the mesoporous structure, typically for MCM-41, and on optic properties if the second metal (Ti, Co) did not belong to the same Vb group with Ta as V and Nb.

View Article and Find Full Text PDF

Controllable Growth of Monolayer and Bilayer WSe by Liquid-Phase Precursor via Chemical Vapor Deposition for Photodetection.

Nanomaterials (Basel)

December 2024

School of Flexible Electronics (Future Technologies), Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, China.

Two-dimensional WSe nanosheets have received increasing attention due to their excellent optoelectronic properties. Solid precursors, such as WO and Se powders, have been extensively employed to grow WSe nanosheets by the chemical vapor deposition (CVD) method. However, the high melting point of WO results in heterogeneous nucleation sites and nonuniform growth of the WSe nanosheet.

View Article and Find Full Text PDF

Valence State and Catalytic Activity of Ni-Fe Oxide Embedded in Carbon Nanotube Catalysts.

Nanomaterials (Basel)

December 2024

School of Materials Science and Engineering, Pusan National University, Busan 46241, Republic of Korea.

The catalytic activity of Ni-Fe oxide embedded in CNTs was investigated in terms of valence states and active oxygen species. Ni-Fe oxides were prepared by the sol-gel combustion process, and Ni-Fe oxides embedded in CNT catalysts were synthesized by the catalytic chemical vapor deposition (CCVD) method. The lattice structure of the Ni-Fe oxide catalysts was analyzed, and the lattice distortion was increased with the addition of Fe.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!