Kittle Joshua D, Gofus John S, Abel Andrea N, Evans Benjamin D
Department of Chemistry and Chemistry Research Center, United States Air Force Academy, Colorado Springs, Colorado 80840, United States.
ACS Omega. 2020 Jul 29;5(31):19820-19826. doi: 10.1021/acsomega.0c02689. eCollection 2020 Aug 11.
Selectivity remains a challenge for rapid optical vapor sensing via light reflected from porous silicon photonic crystals. This work highlights a method to increase optical vapor selectivity of porous silicon rugate filters by analyzing additive spectra from two rugate filter substrates with different functionalities, an oxidized and carbonized surface. Individually, both porous silicon rugate filters demonstrated sensitivity but not selectivity toward the vapor analytes. However, differences in peak shift trends between the two substrates suggested differences in vapor affinities for the surfaces. By adding the two spectra, improvements to selectivity relative to the individual surfaces were observed even at low vapor pressures and for analytes of similar polarity, refractive index, and concentration. These results are expected to contribute toward optical vapor selectivity improvements in one-dimensional porous silicon photonic crystals.
对于通过多孔硅光子晶体反射光进行快速光学蒸汽传感而言,选择性仍然是一个挑战。这项工作突出了一种通过分析来自具有不同功能的两种啁啾滤波器基板(氧化表面和碳化表面)的叠加光谱来提高多孔硅啁啾滤波器光学蒸汽选择性的方法。单独来看,这两种多孔硅啁啾滤波器对蒸汽分析物都表现出灵敏度,但没有选择性。然而,两种基板之间的峰值位移趋势差异表明表面对蒸汽的亲和力存在差异。通过将这两种光谱相加,即使在低蒸汽压力下以及对于极性、折射率和浓度相似的分析物,相对于单个表面而言,选择性也得到了改善。这些结果有望有助于提高一维多孔硅光子晶体的光学蒸汽选择性。