A sensor array based on heterojunctions between semiconducting organic layers and single walled carbon nanotube (SWCNT) films is produced to explore applications in breathomics, the molecular analysis of exhaled breath. The array is exposed to gas/volatiles relevant to specific diseases (ammonia, ethanol, acetone, 2‐propanol, sodium hypochlorite, benzene, hydrogen sulfide, and nitrogen dioxide). Then, to evaluate its capability to operate with real relevant biological samples the array is exposed to human breath exhaled from healthy subjects. Finally, to provide a proof of concept of its diagnostic potential, the array is exposed to exhaled breath samples collected from subjects with chronic obstructive pulmonary disease (COPD), an airway chronic inflammatory disease not yet investigated with CNT‐based sensor arrays, and breathprints are compared with those obtained from of healthy subjects. Principal component analysis shows that the sensor array is able to detect various target gas/volatiles with a clear fingerprint on a 2D subspace, is suitable for breath profiling in exhaled human breath, and is able to distinguish subjects with COPD from healthy subjects based on their breathprints. This classification ability is further improved by selecting the most responsive sensors to nitrogen dioxide, a potential biomarker of COPD.

中文翻译：

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基于半导体有机分子功能化的SWCNT层的人体呼吸分析传感阵列的开发。

基于半导体有机层和单壁碳纳米管（SWCNT）膜之间的异质结的传感器阵列被生产出来，以探索呼吸学的应用，即呼吸的分子分析。阵列暴露于与特定疾病（氨，乙醇，丙酮，2-丙醇，次氯酸钠，苯，硫化氢和二氧化氮）有关的气体/挥发物。然后，为了评估其与实际相关生物学样品一起操作的能力，将阵列暴露于健康受试者呼出的人的呼吸中。最后，为了提供其诊断潜力的概念证明，将阵列暴露于从慢性阻塞性肺疾病（COPD）受试者中收集的呼气样本，COPD是尚未使用基于CNT的传感器阵列进行调查的气道慢性炎性疾病，并将呼吸音与健康受试者的呼吸音进行比较。主成分分析表明，该传感器阵列能够在2D子空间上以清晰的指纹检测各种目标气体/挥发物，适合在呼出的人类呼吸中进行呼吸曲线分析，并且能够根据其健康状况将COPD受试者与健康受试者区分开呼吸痕迹。通过选择对二氧化氮（COPD的潜在生物标志物）的反应最灵敏的传感器，可以进一步提高分类能力。并能够根据他们的呼吸特征将COPD受试者与健康受试者区分开。通过选择对二氧化氮（COPD的潜在生物标志物）的反应最灵敏的传感器，可以进一步提高分类能力。并能够根据他们的呼吸特征将COPD受试者与健康受试者区分开。通过选择对二氧化氮（COPD的潜在生物标志物）的反应最灵敏的传感器，可以进一步提高分类能力。