Detection of toluene traces in exhaled breath by using a 1D PC as a biomarker for lung cancer diagnosis
Physics Department, Faculty of Science, Beni-Suef University, 62512, Beni-Suef, Egypt
2 TH-PPM Group, Physics Department, Faculty of Science, Beni-Suef University, 62512, Beni-Suef, Egypt
Accepted: 28 May 2021
Published online: 4 June 2021
The ease of treatment and high cure rates for many diseases are mainly depending on the early and smooth detection of these diseases. In this research paper, we present a novel design of a one-dimensional photonic crystal that acts as a sensor for toluene traces in the dry exhaled breath for lung cancer diagnosis. The proposed structure is designed from a cavity layer filled with dry exhaled breath, which is sandwiched between a thin layer of Au and a multilayer stack from two dielectric materials. Hence, the proposed sensor is designed as [prism/Au/air cavity/(TiO2 /SiO2)10]. The theoretical reference of our study is essentially based on the Drude model and analysis of the transfer matrix method as well. The numerical results showed the appearance of Tamm plasmon resonance at IR wavelengths. Such resonant mode is highly sensitive to the variation of toluene concentrations at ppm level. In particular, our designed sensor can provide a high sensitivity of 0.304 nm/ppm or 273,071.1 nm/RIU.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2021