Chourasia Nitesh K, Bihari Narendra, Chourasia Ritesh Kumar
School of Physical Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Post Graduate Department of Physics, Samastipur College, Samastipur, 8481341A constituent college of Lalit Narayan Mithila University, Darbhanga-846004, India., India.
Heliyon. 2022 Sep 6;8(9):e10532. doi: 10.1016/j.heliyon.2022.e10532. eCollection 2022 Sep.
Since, chemically complex environments, the aroma has been a difficult task so far. Therefore, in the present communication, an optofluidic Bragg fiber artificial nose for perceiving the temperature-functional molar fraction of an adulterated binary composition 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 (RI) of the adulterated binary mono-alcohol fuel is connected to the temperature-functional 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 of which has the full width at half maximum (FWHM) equal to 0.1 nm is observed in the examined photonic bandgap (PBG). The signal is responsive to fluctuations in optofluidic core RI 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.
由于化学环境复杂，迄今为止，检测香气一直是一项艰巨的任务。因此，在本通讯中，一种用于感知水合单醇二元掺假组合物的温度功能摩尔分数的光流体布拉格光纤人工鼻得到了优化并进行了报道。该任务是通过在周期性圆柱形布拉格反射器中间制造不对称性，在具有几何缺陷的光流体布拉格光纤传感器上进行理论预测的。在柱坐标系中，使用汉克尔函数（HF）和传输矩阵技术（TMT）来模拟多层同心空心芯布拉格光纤（HCBF）。掺假二元单醇燃料的折射率（RI）变化与温度功能摩尔浓度相关，这又通过使用多种模型来预测，包括最合适的戴尔 - 格拉德斯通、洛伦兹 - 洛伦茨等模型。在所研究的光子带隙（PBG）中观察到一个显著的传感信号，其半高宽（FWHM）等于0.1 nm。该信号对结构缺陷层附近的光流体芯RI波动有响应。对于乙醇燃料而非甲醇燃料，所建议传感器的温度相关最大灵敏度（由于不同的天气情况）为1057.32 nm/RIU。此外，还对基于表面等离子体的静态温度传感器进行了比较。由于输出信号的最小FWHM约为0.1 nm，在所提出的传感器装置中，诸如检测精度和质量参数等其他传感性能指标也得到了提高。
