The escalating levels of air pollution present a critical challenge, posing significant risks to both public health and environmental sustainability. However, recent gas detection methodologies often have inadequate sensitivity and specificity, failing to accurately identify low concentrations of harmful pollutants in real time. Therefore, in this work a (TiO₂/ZrO₂) ^N/2/CsAgBr₃/(TiO₂/ZrO₂) ^N/2-based one dimensional photonic crystal (1D-PC) gas sensor is proposed for detecting key environmental pollutants, specifically ammonia (NH₃), methane (CH₄), carbon disulfide (CS₂), and chloroform (CHCl₃). Using the transfer matrix method (TMM) and systematically optimizing critical parameters - including the angle of incidence, dielectric layer composition, thickness of the defect layer, and gas concentration - the computational results reveal a maximum sensitivity of 2170 nm per RIU, figure of merit of 500/RIU, detection accuracy of 0.815, and 0.24 quality factor. These findings underscore the potential of the proposed gas sensor as a robust tool for monitoring environmental concentrations of hazardous compounds.

This journal is © The Royal Society of Chemistry.

不断加剧的空气污染水平构成了一个关键挑战，对公共健康和环境可持续性构成重大风险。然而，最近的气体检测方法通常灵敏度和特异性不足，无法实时准确地识别有害污染物的低浓度。因此，在这项工作中提出了一种基于（TiO₂/ZrO₂) ^N/2/CsAgBr₃/(TiO₂/ZrO₂) ^N/2 的一维光子晶体（1D-PC）气体传感器，用于检测关键的环境污染物，特别是氨气（NH₃）、甲烷（CH₄）、二硫化碳（CS₂）和氯仿（CHCl₃）。通过传输矩阵方法（TMM）并系统地优化关键参数——包括入射角、介质层组成、缺陷层厚度以及气体浓度，计算结果显示最大灵敏度为每 RIU 2170 nm，品质因数为500/RIU，检测精度为0.815和0.24质量因子。这些发现强调了所提出的气体传感器作为监测环境中有害化合物浓度的有力工具的巨大潜力。