ArticleSensors (Basel, Switzerland)2019
Optical Detection of Vapor Mixtures Using Structurally Colored Butterfly and Moth Wings.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- BreedingInsects · 2023Article
- Spectral tuning of biotemplated ZnO photonic nanoarchitectures for photocatalytic applications.Royal Society open science · 2022Article
- Bio-inspired gas sensing: boosting performance with sensor optimization guided by "machine learning".Faraday discussions · 2020Article
- Stability and Selective Vapor Sensing of Structurally Colored Lepidopteran Wings Under Humid Conditions.Sensors (Basel, Switzerland) · 2020Article
- Vapor Selectivity of a Natural Photonic Crystal to Binary and Tertiary Mixtures Containing Chemical Warfare Agent Simulants.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Photonic nanoarchitectures in the wing scales of butterflies and moths are capable of fast and chemically selective vapor sensing due to changing color when volatile vapors are introduced to the surrounding atmosphere. This process is based on the capillary condensation of the vapors, which results in the conformal change of the chitin-air nanoarchitectures and leads to a vapor-specific optical response. Here, we investigated the optical responses of the wing scales of several butterfly and moth species when mixtures of different volatile vapors were applied to the surrounding atmosphere. We found that the optical responses for the different vapor mixtures fell between the optical responses of the two pure solvents in all the investigated specimens. The detailed evaluation, using principal component analysis, showed that the butterfly-wing-based sensor material is capable of differentiating between vapor mixtures as the structural color response was found to be characteristic for each of them.
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Registered trials
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