使用单个热调节的MOS气体传感器与PCA-ANN数据处理的混合物中的挥发性化合物的量化
1Faculty of Food Science and Nutrition, Poznań University of Life Sciences, 60-624 Poznań, Poland.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
本研究提出了一种新方法,用于使用热调节的金属氧化物半导体 (MOS) 气体传感器准确检测乙醇和甲醇混合物. 先进的信号处理,包括主要组件分析 (PCA) 和人工神经网络 (ANN),可以实现精确的量化.
科学领域:
- 材料科学 材料科学 材料科学
- 化学传感器 化学传感器
- 数据科学数据科学数据科学
背景情况:
- 金属氧化物半导体 (MOS) 气体传感器为环境监测提供了潜力.
- 热调制增强了MOS传感器的选择性,但使数据解释复杂化.
- 先进的信号处理对于分析复杂的MOS传感器响应至关重要.
研究的目的:
- 开发一种定量方法来确定混合物中的乙醇和甲醇度.
- 使用单一的,热调节的MOS气体传感器进行同时检测.
- 验证拟议的传感方法的准确性和稳定性.
主要方法:
- 使用热调节的MOS气体传感器来检测挥发性化合物.
- 使用主要组件分析 (PCA) 来从传感器信号中提取特征.
- 应用人工神经网络 (ANN) 来定量预测乙醇和甲醇水平.
主要成果:
- 在所有数据集中实现了0.999的R平方值的高精度.
- 证明了低误差指标,根平均平方误差 (RMSE) 从11.6到14.4 ppm不等.
- 通过PCA-ANN联合方法成功量化混合物中的乙醇和甲醇度.
结论:
- 开发的方法提供了一种强大而准确的方法来检测乙醇和甲醇混合物.
- 这种技术适用于需要快速,经济高效和精确的气体传感的应用.
- 集成PCA和ANN显著提高了MOS气体传感器的分析能力.
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