The Electronic Nose Arises Into the 21st Century

F. Fiorentino, J. L. Valera, J. Merino, B. Cosío
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引用次数: 1

Abstract

Electronic noses (eNoses) are instruments designed to imitate the sense of smell. These devices are used to detect and precisely distinguish odours within complex samples at a relatively low cost, and these properties make them very useful in a diverse range of clinical scenarios. An eNose is typically composed of a multisensor array, an information-processing unit, and a pattern-recognition algorithm. The multisensor array combines to respond globally to a wide range of volatile organic compounds (VOCs) and the output provides a distinct digital response pattern. Clinical ‘breathprints’ or ‘smellprints’ contain VOCs and respiratory diseases such as chronic obstructive pulmonary disease (COPD), asthma, and lung cancer can be detected by this novel technique. Moreover, patients with exacerbated COPD and a positive microbiological culture can be differentiated from those with stable disease. The eNose displays high accuracy in detecting obstructive sleep apnoea syndrome, and common conditions in the intensive care unit such as acute respiratory distress syndrome and ventilator-associated pneumonia have also been studied in relation to the use of eNoses. Information contained within breathprints interpreted by eNoses may serve as non-invasive biomarkers in respiratory medicine and infectious diseases, as well as other branches of medicine.
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电子鼻进入21世纪
电子鼻是用来模仿嗅觉的仪器。这些设备用于以相对较低的成本检测和精确区分复杂样品中的气味,并且这些特性使它们在各种临床场景中非常有用。eNose通常由多传感器阵列、信息处理单元和模式识别算法组成。多传感器阵列结合在一起,可以对广泛的挥发性有机化合物(VOCs)进行全球响应,输出提供了独特的数字响应模式。临床“呼吸指纹”或“嗅觉指纹”含有挥发性有机化合物和呼吸系统疾病,如慢性阻塞性肺疾病(COPD)、哮喘和肺癌可以通过这种新技术检测出来。此外,微生物培养阳性的加重COPD患者可以与病情稳定的患者区分开来。eNose在检测阻塞性睡眠呼吸暂停综合征方面显示出很高的准确性,重症监护病房的常见疾病,如急性呼吸窘迫综合征和呼吸机相关性肺炎,也与使用eNose有关。由鼻嗅系统解释的呼吸指纹中包含的信息可以作为呼吸医学和传染病以及其他医学分支的非侵入性生物标志物。
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