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Biomimetic gas sensors for large-scale drying of wood particles

机译:用于大规模干燥木颗粒的仿生气体传感器

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The sensitivity and selectivity of insect antennae are evolutionary tuned to specific needs of the insect. The Australian pyrophilic beetle Merimna atrata needs freshly heated wood to bring up its offspring and, consequently, shows a very high sensitivity to volatiles specific for wood-fires and heated wood. Volatile organic compounds released by wood particles heated at different temperatures were collected. Parallel trace analytical examination and antennal responses of the pyrophilic beetles to volatiles released by the wood reveal a highly differentiated detection system of these insects for early and late products of wood fires. This enabled a selection of marker compounds used by insects since several million years for the discrimination of different stages of wood fires. In the industrial production of engineered wood such as particle boards, wooden particles are dried in large-scale high temperature dryers. Air temperatures between 150-600°C are essential for the required material flow in the particle board production. Despite the resulting energy-efficiency of high temperature drying, high temperatures are avoided because of the increased risk of spontaneous combustion. Losses in productivity caused by fire have a strong impact on the whole production system. In order to raise the drying temperature without risking a fire, it is important to develop a monitoring system that will reliably detect early fire stages by their characteristic volatile pattern. Thus, perception filters and evaluation algorithms of pyrophilic insects can provide blue prints for biomimetic gas sensors for large-scale drying of wood particles. Especially tungsten oxide sensor elements exhibit a high sensitivity to some of the key substances. Their high sensitivity and selectivity to terpenes and aldehydes in combination with high sensitivity and selectivity of tin oxide sensor elements to hydroxylated and phenolic compounds, both showing low cross-reactivity with water and carbon monoxide, mimic highly efficient biological fire detection systems.
机译:昆虫天线的敏感性和选择性是对昆虫的特定需求进行进化。澳大利亚酸肉甲虫Merimna Atrata需要新鲜加热的木材,以促进其后代,因此显示对木火和加热木材的挥发物非常高的敏感性。收集在不同温度下加热的木颗粒释放的挥发性有机化合物。用木材释放的酸性甲虫对酸虫的平行痕量分析检查和抗胰梗死显示出这些昆虫的高度分化检测系统,用于木火的早期和晚期产品。这使得昆虫使用的一系列标记化合物,因为鉴别木火的不同阶段的歧视。在工业生产的工程木材如粒子板,木质颗粒在大型高温干燥器中干燥。 150-600°C之间的空气温度对于刨花板生产中所需的材料流动是必不可少的。尽管所得到的高温干燥能效率,但由于自发燃烧的风险增加,避免了高温。火灾引起的生产率的损失对整个生产系统产生了强烈影响。为了提高干燥温度而不会冒火灾,开发一种监测系统,通过其特征挥发性模式可靠地检测早期火灾阶段。因此,冻虫昆虫的感知过滤器和评估算法可以为仿生气体传感器提供蓝色印刷,用于大规模干燥木颗粒。特别是氧化钨传感器元件对某些关键物质具有高敏感性。它们与萜烯和醛的高敏感性和选择性与氧化锡传感器元件的高灵敏度和选择性结合在羟基化和酚类化合物中,均显示与水和一氧化碳的低交叉反应性,模拟高效的生物火灾检测系统。

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