使用电子鼻子对自发高血压大鼠进行非侵入性血压跟踪
Fumei Zhang1,2, Lijing Yang1,3, Jia Wei1,3
1China-Malaysia National Joint Laboratory, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, China.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
研究人员探索了感知便气味以估计自发高血压大鼠 (SHR) 的血压. 这种新的方法提供了高血压水平和正常血压的非侵入性监测,区分不同的血压状态.
科学领域:
- 动物生理学 动物生理学
- 生物技术是生物技术.
- 分析化学是一种分析化学.
背景情况:
- 在实验动物中进行传统的非侵入性血压测量是具有挑战性和耗时的.
- 在大型动物队伍中开发有效的血压监测方法对研究至关重要.
研究的目的:
- 探索使用便气味分析在自发高血压大鼠 (SHRs) 中进行非侵入性血压估计的潜力.
- 建立一种用于监测血压状态和区分高血压和正常血压状态的新方法.
主要方法:
- 使用电子鼻子 (E-nose) 来捕获SHRs的便气味概况.
- 应用主要组件分析 (PCA),法定判别分析 (CDA) 和多层感知器 (MLP) 神经网络进行分类.
- 采用多重线性回归 (MLR),部分最小平方回归 (PLSR) 和MLP用于血压预测.
主要成果:
- 嗅觉特征与SHR中的血压状况有显著差异,特定传感器 (S6,S7) 显示了显著的变化.
- 通过便气味分析,在区分SHR和正常大鼠方面实现了100%的正确分类率.
- 开发了血压的预测模型,确定系数 (R2) 从0.8036到0.9926不等,MLP实现R2>0.91.
结论:
- 便气味分析可以非侵入性地跟踪大鼠的血压水平.
- 这种方法可以根据气味特征区分正常血压,高血压和不同水平的高血压.
- 为非侵入性健康监测提供基础,并可能为血压管理提供功能性食品研究的信息.
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