Dragonieri Silvano, Pennazza Giorgio, Carratu Pierluigi, Resta Onofrio
Department of Respiratory Diseases, University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy.
Unit of Electronics for Sensor Systems, Center for Integrated Research, Campus Bio-Medico University, Rome, Italy.
Lung. 2017 Apr;195(2):157-165. doi: 10.1007/s00408-017-9987-3. Epub 2017 Feb 25.
Electronic noses (e-noses) are based on arrays of different sensor types that respond to specific features of an odorant molecule, mostly volatile organic compounds (VOCs). Differently from gas chromatography and mass spectrometry, e-noses can distinguish VOCs spectrum by pattern recognition. E-nose technology has successfully been used in commercial applications, including military, environmental, and food industry. Human-exhaled breath contains a mixture of over 3000 VOCs, which offers the postulate that e-nose technology can have medical applications. Based on the above hypothesis, an increasing number of studies have shown that breath profiling by e-nose could play a role in the diagnosis and/or screening of various respiratory and systemic diseases. The aim of the present study was to review the principal literature on the application of e-nose technology in respiratory diseases.
电子鼻基于不同类型传感器的阵列,这些传感器对气味分子的特定特征作出反应,其中大多数是挥发性有机化合物(VOCs)。与气相色谱和质谱不同,电子鼻可以通过模式识别来区分VOCs光谱。电子鼻技术已成功应用于商业领域,包括军事、环境和食品工业。人体呼出的气体包含3000多种VOCs的混合物,这为电子鼻技术具有医学应用的假设提供了依据。基于上述假设,越来越多的研究表明,通过电子鼻进行呼吸分析可在各种呼吸系统疾病和全身性疾病的诊断和/或筛查中发挥作用。本研究的目的是综述关于电子鼻技术在呼吸系统疾病中应用的主要文献。