一个呼气气体传感器系统用于近红外氨测量和诊断
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Updated: Jun 20, 2026

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Fast and Accurate Exhaled Breath Ammonia Measurement
Published on: June 11, 2014
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Kaiyuan Zheng1, Lei Zhang1, Shuo Leng2
1State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, China; Kaiyuan Zheng and Lei Zhang contributed equally to this work.
概括
这项研究提出了一种用于非侵入性诊断的新呼吸分析方法. 近红外激光光谱检测出口气中的氨,有助于早期发现病.
科学领域:
- 分析化学 分析化学
- 医学诊断 医学诊断 医学诊断
- 频谱学是一种光谱学.
背景情况:
- 呼吸分析提供了一种通过检测生物标志物来诊断健康状况的非侵入性方法.
- 氨是某些疾病的潜在生物标志物,但在低度的呼气中检测其具有挑战性.
研究的目的:
- 开发一种使用近红外激光光谱仪在呼出的呼吸中检测氨的灵敏和快速方法.
- 整合这种氨传感器,实时预诊断患者的病.
主要方法:
- 利用以1512nm为中心的分布式反激光来检测氨.
- 采用卡尔曼过算法来实现每百万分之一 (ppm) 的氨水平检测.
- 开发了一种双重操作机制 (静态和动态模式) 用于全面的呼吸分析.
主要成果:
- 在排气气中检测出百万分之一 (ppm) 的氨水平.
- 成功集成了氨传感器,用于分析患者的呼气.
- 证明了双重操作机制对实时预诊断的适用性.
结论:
- 采用卡尔曼过的近红外激光谱学提供了一种高度敏感的方法来检测呼出的氨.
- 开发的氨感应器和双重操作机制对于病的预诊断是有效的.
- 这种非侵入性呼吸分析技术对早期疾病检测和患者监测充满希望.
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