Graphene–MoS2–metal hybrid structures for plasmonic biosensors

Research output: Contribution to journalArticleScientificpeer-review

Standard

Graphene–MoS2–metal hybrid structures for plasmonic biosensors. / Aksimsek, Sinan; Jussila, Henri; Sun, Zhipei.

In: Optics Communications, Vol. 428, 01.12.2018, p. 233-239.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

Aksimsek, Sinan ; Jussila, Henri ; Sun, Zhipei. / Graphene–MoS2–metal hybrid structures for plasmonic biosensors. In: Optics Communications. 2018 ; Vol. 428. pp. 233-239.

Bibtex - Download

@article{8b71052fc6144ae183222f437f8a75ea,
title = "Graphene–MoS2–metal hybrid structures for plasmonic biosensors",
abstract = "Surface Plasmon Resonance (SPR) biosensors are widely used for real-time label-free detection in medical diagnostics, pharmaceutical researches and food safety. Although there is a growing interest in miniaturization of biosensors for self-detection and diagnostics at out of laboratory, the performance of conventional metal SPR sensors is still limited. In this paper, we propose graphene–MoS 2 – metal hybrid structures based plasmon sensors under the best minimum light intensity approach, which represents the performance analysis in case of the lowest reflected light strength. It is demonstrated that the metal thickness can be reduced from 55 nm to 32 nm and 37 nm meanwhile the performance of the background sensor can be improved by 87{\%} and 13{\%} with the 4 additional MoS2 and graphene layers, respectively. We show that MoS2 based SPR devices provide much better sensitivity performance than graphene based devices. Our results reveal the another promising property of MoS2: The sensitivity of SPR sensors can be greatly increased with a few number of MoS2 within the angular SPR system while reducing the size of the device, especially for particular applications such as detecting a single molecule and biosensing at low biomolecule concentration. Furthermore, we show that the equivalent optical properties of multilayered nanostructures also depend on the layer thickness which is a novel knowledge for the next studies on 2D material based SPR plasmonic devices.",
keywords = "Biological sensing and sensors, Mathematical methods in optics, Multilayers, Nanomaterials, Surface plasmons",
author = "Sinan Aksimsek and Henri Jussila and Zhipei Sun",
year = "2018",
month = "12",
day = "1",
doi = "10.1016/j.optcom.2018.07.075",
language = "English",
volume = "428",
pages = "233--239",
journal = "Optics Communications",
issn = "0030-4018",
publisher = "Elsevier",

}

RIS - Download

TY - JOUR

T1 - Graphene–MoS2–metal hybrid structures for plasmonic biosensors

AU - Aksimsek, Sinan

AU - Jussila, Henri

AU - Sun, Zhipei

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Surface Plasmon Resonance (SPR) biosensors are widely used for real-time label-free detection in medical diagnostics, pharmaceutical researches and food safety. Although there is a growing interest in miniaturization of biosensors for self-detection and diagnostics at out of laboratory, the performance of conventional metal SPR sensors is still limited. In this paper, we propose graphene–MoS 2 – metal hybrid structures based plasmon sensors under the best minimum light intensity approach, which represents the performance analysis in case of the lowest reflected light strength. It is demonstrated that the metal thickness can be reduced from 55 nm to 32 nm and 37 nm meanwhile the performance of the background sensor can be improved by 87% and 13% with the 4 additional MoS2 and graphene layers, respectively. We show that MoS2 based SPR devices provide much better sensitivity performance than graphene based devices. Our results reveal the another promising property of MoS2: The sensitivity of SPR sensors can be greatly increased with a few number of MoS2 within the angular SPR system while reducing the size of the device, especially for particular applications such as detecting a single molecule and biosensing at low biomolecule concentration. Furthermore, we show that the equivalent optical properties of multilayered nanostructures also depend on the layer thickness which is a novel knowledge for the next studies on 2D material based SPR plasmonic devices.

AB - Surface Plasmon Resonance (SPR) biosensors are widely used for real-time label-free detection in medical diagnostics, pharmaceutical researches and food safety. Although there is a growing interest in miniaturization of biosensors for self-detection and diagnostics at out of laboratory, the performance of conventional metal SPR sensors is still limited. In this paper, we propose graphene–MoS 2 – metal hybrid structures based plasmon sensors under the best minimum light intensity approach, which represents the performance analysis in case of the lowest reflected light strength. It is demonstrated that the metal thickness can be reduced from 55 nm to 32 nm and 37 nm meanwhile the performance of the background sensor can be improved by 87% and 13% with the 4 additional MoS2 and graphene layers, respectively. We show that MoS2 based SPR devices provide much better sensitivity performance than graphene based devices. Our results reveal the another promising property of MoS2: The sensitivity of SPR sensors can be greatly increased with a few number of MoS2 within the angular SPR system while reducing the size of the device, especially for particular applications such as detecting a single molecule and biosensing at low biomolecule concentration. Furthermore, we show that the equivalent optical properties of multilayered nanostructures also depend on the layer thickness which is a novel knowledge for the next studies on 2D material based SPR plasmonic devices.

KW - Biological sensing and sensors

KW - Mathematical methods in optics

KW - Multilayers

KW - Nanomaterials

KW - Surface plasmons

UR - http://www.scopus.com/inward/record.url?scp=85050853621&partnerID=8YFLogxK

U2 - 10.1016/j.optcom.2018.07.075

DO - 10.1016/j.optcom.2018.07.075

M3 - Article

VL - 428

SP - 233

EP - 239

JO - Optics Communications

JF - Optics Communications

SN - 0030-4018

ER -

ID: 27142083