Perceiving in Chemically Diverse Environments: An Optofluidic Bragg Fiber Sensor for Estimating Adulterants in a Temperature-Dependent Molar Fraction of Hydrated Mono-Alcohol Fuels

In chemically complex environments, the aroma has been a difficult task so far. In the present communication, an optofluidic Bragg fiber artificial nose for perceiving the temperature-dependent molar fraction of an adulterated pseudo-binary mixture of hydrated mono-alcohols is optimized and reported. The task is theoretically predicted over an optofluidic Bragg fiber sensor having geometrical defects by creating an asymmetry in mid of periodic cylindrical Bragg reflectors. In a cylindrical coordinate system, Henkel function (HF) and transfer matrix technique (TMT) are used to simulate a multilayer concentric hollow-core Bragg fiber (HCBF). The variation in refractive index (R.I.) of the adulterated pseudo-binary mono-alcohols fuel is connected to the temperature-dependent molar concentration, which is again anticipated by making use of several models, including the most suitable Dale-Gladstone, Lorentz-Lorenz, etc. A prominent sensing signal transmission peak of 0.1nm full width at half maximum (FWHM) is achieved in the investigated photonic bandgap (PBG), which is responsive to fluctuations in optofluidic core R.I., in the vicinity of a structural defect layer. The suggested sensor's temperature-dependent maximum sensitivity (due to varied weather circumstances) for ethanol fuel rather than methanol fuel is 1057.32 nm/RIU, Furthermore, the surface plasmon-based static temperature sensor is compared. Due to the smallest FWHM of output signal around 0.1 nm, other sensing performance metrics such as detection accuracy, and quality parameters are also enhanced in the proposed sensor device.