Specific Designed Mid-Infrared Gas Sensor Employing Bloch Surface Waves Working Near the Critical Angle

12 Pages Posted: 24 Mar 2022

See all articles by Jinpeng Nong

Jinpeng Nong

Shenzhen University

Zhao Bo

Shenzhen University

Xin Xiao

Shenzhen University

Changjun Min

Shenzhen University

Xiaocong Yuan

Shenzhen University

Michael Somekh

Shenzhen University

FENG FU

Shenzhen University

Abstract

In this paper, we theoretically design a wavelength-tunable Bloch surface waves (BSWs) platform for the illustration of SO 2 sensing in mid-infrared region, which consisted of a one-dimensional photonic crystal with an omnidirectional bandgap and an attached layer of phase change material (Ge 2 Sb 2 Te 5 , GST). Based on such configuration, the spectral response of the sensor can be actively modulated by adjusting the crystallization fraction of GST and the incident angle of light, with ultrahigh quality-factor at the order of 10 4 within a wide waveband . Such specific designed BSWs-assisted infrared gas sensor significantly enhances the molecular absorption signal by 10 6 folds. This allows us not only to qualitatively identify the species of the probed gas molecules, but also quantitatively measure the concentration of the SO 2 molecules, showing unique advantages over the conventional BSWs-based refractive index sensors working in visible and near-infrared region. It is further demonstrated that the sensor can be used for early warning of SO 2 concentration, of which the limit threshold value can reach down to 18.8 ppm when the sensor is working near the critical angle. Our work provides an alternative and effective strategy for high-performance gas sensing in the mid-infrared.

Keywords: gas sensor, Bloch surface waves, mid-infrared, wavelength-tunable, high Q-factor

Suggested Citation

Nong, Jinpeng and Bo, Zhao and Xiao, Xin and Min, Changjun and Yuan, Xiaocong and Somekh, Michael and FU, FENG, Specific Designed Mid-Infrared Gas Sensor Employing Bloch Surface Waves Working Near the Critical Angle. Available at SSRN: https://ssrn.com/abstract=4065310 or http://dx.doi.org/10.2139/ssrn.4065310

Jinpeng Nong

Shenzhen University ( email )

3688 Nanhai Road, Nanshan District
Shenzhen, 518060
China

Zhao Bo

Shenzhen University ( email )

3688 Nanhai Road, Nanshan District
Shenzhen, 518060
China

Xin Xiao

Shenzhen University ( email )

3688 Nanhai Road, Nanshan District
Shenzhen, 518060
China

Changjun Min

Shenzhen University ( email )

3688 Nanhai Road, Nanshan District
Shenzhen, 518060
China

Xiaocong Yuan

Shenzhen University ( email )

3688 Nanhai Road, Nanshan District
Shenzhen, 518060
China

Michael Somekh

Shenzhen University ( email )

3688 Nanhai Road, Nanshan District
Shenzhen, 518060
China

FENG FU (Contact Author)

Shenzhen University ( email )

3688 Nanhai Road, Nanshan District
Shenzhen, 518060
China

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