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基于UV-DOAS的Ppb级氨传感器用于呼气诊断,与光谱重建配合的神经网络相结合

Rui Zhu¹, Qiwen Zhou¹, Qi Tian²

¹School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.

|July 30, 2024

概括

一个新的光学传感器准确地测量出口气中的氨 (NH3),用于早期发现病. 这种先进的系统为医学诊断提供了高精度和稳定性.

科学领域:

生物医学工程生物医学工程
分析化学分析化学
频谱学是一种光谱学.

背景情况:

呼气中的氨 (NH3) 是评估功能的一个关键生物标志物.
准确测量NH3对于早期诊断病至关重要.
现有的方法在EB分析的特异性和敏感性方面面临挑战.

研究的目的:

开发和验证一种新的光学传感器,用于精确地检测EB中的NH3.
提高非侵入性功能查的准确性和可靠性.
建立一个稳定,高性能的呼吸分析系统.

主要方法:

集成紫外差光学吸收光谱法 (UV-DOAS) 以减轻光谱干扰.
引入光谱重建配合神经网络 (SRFNN) 用于信号处理和降噪.
应用最小绝对偏差和最小平方方法进行光谱分析.

主要成果:

传感器显示NH3.3的广泛检测范围为9.5012425.82ppb.
实现了0.83%的平均绝对百分比误差 (MAPE) 和0.42%的检测精度.
在模拟患者和健康个体中成功区分EB,证实了其诊断潜力.

结论:

开发的光学传感器提供了一个非常准确和稳定的方法来检测NH3在呼出的呼吸.
这项技术为非侵入性病查和监测带来了有前途的进步.
该传感器系统有望成为医学领域的有效工具,用于呼吸分析.

关键词:

氨是一种氨.呼出的气息呼出的气息这是一个光学传感器.频谱重建合适的神经网络紫外线差异光学吸收光谱学

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