相关实验视频
Updated: Apr 13, 2026

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Fruit Volatile Analysis Using an Electronic Nose
Published on: March 30, 2012
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用电子鼻子估计酒成熟中的关键物质的检测和定量限制的方法
Julia Kruse1, Julius Wörner1, Jan Schneider1
1Institute for Life Science Technologies (ILT.NRW), OWL University of Applied Sciences and Arts, 32657 Lemgo, Germany.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
估计电子鼻子 (eNoses) 的检测极限 (LOD) 是一个挑战. 这项研究比较了LOD估计的多变量方法,显示了eNose监测在酒成熟等过程中的潜力.
科学领域:
- 分析化学 分析化学
- 化学测量 化学测量 化学测量
- 传感器技术 传感器技术
背景情况:
- 评估分析仪器的适用性依赖于像LOD和LOQ这样的优点数字.
- 传统的LOD定义对于来自电子鼻子 (eNoses) 的多维数据是不够的.
研究的目的:
- 为了比较电子鼻子 (eNoses) 中估计检测极限 (LOD) 的多变量数据分析技术.
- 通过挥发性化合物分析,评估eNoses适合于工艺监控.
主要方法:
- 主成分分析 (PCA),主成分回归 (PCR) 和部分最小平方回归 (PLSR) 的比较用于LOD估计.
- 应用这些方法来确定酒成熟的关键化合物的LOD.
主要成果:
- 不同的多变量方法产生了LOD估计值,其差异高达8.1倍.
- 对于二乙烯,可以达到足够低的LOD和LOQ,这表明eNose监测的潜力.
结论:
- 多变量技术为使用 eNoses 估计 LOD 提供了可行的方法.
- 在工业过程中监测特定的挥发性化合物,如酒成熟等方面,eNoses显示出前景.
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