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Sensors for Breath Analysis: An Advanced Approach to Express Diagnostics and Monitoring of Human Diseases

机译:用于呼吸分析的传感器:快速诊断和监测人类疾病的先进方法

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The study demonstrates high efficacy and expediency of the TCNQ derivatives-based point-contact multi-structure as a prospective asset for development of new sensors. Investigation of sensors' behavior in case of different duration of exposition to exhaled air showed that in case of exposition lasting longer than 30 s, the response curve of the point-contact sensors was principally different from analogous dependences of traditional and nanostructured chemical ones. Due to the complex non-homogenous structure, the obtained response curves of the point-contact sensors are much more informative than similar dependences of analog devices. The introduced phenomenological model of the response signal of the sensor under study enables application of a complex statistical analysis of its components. This may be used for exhaled air analysis with diagnostic purposes. The proposed advanced approach was successfully applied to diagnostics development and important correlations between response curve's parameters and state of human organism were discovered. High sensitivity of the point-contact multi-structure, enabling analysis of composite gas mixtures, opens up wide possibilities to apply the demonstrated approach for environment and health protection.
机译:这项研究表明,基于TCNQ衍生物的点接触式多结构作为开发新型传感器的一项潜在资产,具有很高的功效和便利性。对不同时间暴露于呼气的情况下传感器行为的研究表明,在暴露持续时间超过30 s的情况下,点接触式传感器的响应曲线与传统和纳米结构化学传感器的相似性依赖关系主要不同。由于复杂的非均质结构,所获得的点接触式传感器的响应曲线比类似的模拟设备依赖关系要丰富得多。引入的正在研究的传感器响应信号的现象学模型可以对其组件进行复杂的统计分析。可将其用于具有诊断目的的呼气分析。所提出的先进方法已成功地用于诊断开发,并发现了响应曲线参数与人体状态之间的重要关联。点接触式多结构的高灵敏度,使得能够分析复合气体混合物,为在环境和健康保护方面应用已证明的方法提供了广泛的可能性。

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