使用新型电子鼻子进行呼气分析,用于不同呼吸道疾病实体
Kai-Lun Yu1,2, Han-Ching Yang3, Chien-Feng Lee3
1Department of Internal Medicine, National Taiwan University Hospital, No.7, Chung Shan S. Rd., Zhongzheng District, Taipei City, 100225, Taiwan.
Lung
|January 3, 2025
概括
一种新的电子鼻子 (eNose) 通过呼吸分析有效地区分呼吸系统疾病. 气色谱-质谱法 (GC-MS) 确定了特定的挥发性有机化合物 (VOC) 作为这些条件的潜在生物标志物.
科学领域:
- 呼吸系统药物 呼吸系统药物
- 分析化学是一种分析化学.
- 发现生物标志物的发现.
背景情况:
- 电子鼻子 (eNose) 和气色谱-质谱 (GC-MS) 是呼吸分析的关键技术.
- 通过呼吸分析区分呼吸系统疾病对于诊断和管理至关重要.
研究的目的:
- 为了评估新型电子鼻子对各种呼吸系统疾病的诊断性能.
- 在呼出的呼吸中使用GC-MS识别挥发性有机化合物 (VOC) 生物标志物.
主要方法:
- 招募了患有肺癌,肺炎,结构性肺部疾病和健康对照的患者.
- 收集的呼气样本用于eNose和GC-MS分析.
- 分析了使用支向量机器和留出一个缺口交叉验证的eNose呼吸痕迹特征.
主要成果:
- 包括263名参与者 (95名肺癌,59名肺炎,71名结构性肺病,38名对照).
- 在四组中获得了0.738的整体eNose精度.
- 确定了特定的VOC:循环松和N,N-二甲基胺在肺炎中,乙烯酸在结构性肺部疾病中,以及2,3,4-三甲基在肺癌中.
结论:
- 新的eNose在区分呼吸系统疾病方面表现出有效性.
- 该eNose显示出作为一个点的护理诊断工具的潜力.
- GC-MS成功地确定了用于呼吸系统疾病的候选VOC生物标志物.
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