2019
DOI: 10.3390/s20010157
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Vapor Selectivity of a Natural Photonic Crystal to Binary and Tertiary Mixtures Containing Chemical Warfare Agent Simulants

Abstract: Vapor sensing via light reflected from photonic crystals has been increasingly studied as a means to rapidly identify analytes, though few studies have characterized vapor mixtures or chemical warfare agent simulants via this technique. In this work, light reflected from the natural photonic crystals found within the wing scales of the Morpho didius butterfly was analyzed after exposure to binary and tertiary mixtures containing dimethyl methylphosphonate, a nerve agent simulant, and dichloropentane, a mustard… Show more

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Cited by 12 publications
(16 citation statements)
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“…The differential reflectance spectra (Δ R ) could be obtained by subtracting the baseline spectra from the analyte spectra. 37 , 38 …”
Section: Resultsmentioning
confidence: 99%
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“…The differential reflectance spectra (Δ R ) could be obtained by subtracting the baseline spectra from the analyte spectra. 37 , 38 …”
Section: Resultsmentioning
confidence: 99%
“…Again, differential reflectance spectra (Δ R ) reports the percentage difference of the reflectance with the analyte relative to the nitrogen baseline without the analyte. 38 Significant spacing between points of the same analyte indicates good sensitivity, while separation of analyte curves indicates good selectivity. 40 Thus, Figure 6 shows a tested sensitivity down to ∼30 ppm for DCP on both the oxidized and carbonized pSi substrates.…”
Section: Resultsmentioning
confidence: 99%
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“…On the other hand, sensors are expected to be used closer to the site than lab-based analytical devices. Therefore, it is required that sensors be simple to operate and compact in size along with sufficient sensitivity, selectivity, and capability of continuous measurement for some occasions [ 24 , 25 , 26 , 27 , 28 , 29 ]. However, generally, there is a trade-off between being compact in size and having high sensitivity, and it is very challenging to meet both requirements.…”
Section: Introductionmentioning
confidence: 99%