As a futuristic diagnosis platform, breath analysis is gaining much attention because it is a noninvasive, simple, and low cost diagnostic method. Very promising clinical applications have been demonstrated for diagnostic purposes by correlation analysis between exhaled breath components and specific diseases. In addition, diverse breath molecules, which serve as biomarkers for specific diseases, are precisely identified by statistical pattern recognition studies. To further improve the accuracy of breath analysis as a diagnostic tool, breath sampling, biomarker sensing, and data analysis should be optimized. In particular, development of high performance breath sensors, which can detect biomarkers at the ppb-level in exhaled breath, is one of the most critical challenges. Due to the presence of numerous interfering gas species in exhaled breath, selective detection of specific biomarkers is also important.

中文翻译：

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用于疾病诊断的创新纳米传感器

作为一种未来派的诊断平台，呼吸分析得到了广泛的关注，因为它是一种非侵入性，简单且低成本的诊断方法。通过呼出气成分与特定疾病之间的相关性分析，已证明非常有前途的临床应用可用于诊断。此外，通过统计模式识别研究可以精确识别出多种呼吸分子，这些分子是特定疾病的生物标记。为了进一步提高呼吸分析作为诊断工具的准确性，应优化呼吸采样，生物标志物感测和数据分析。尤其是，高性能呼吸传感器的开发是最关键的挑战之一，该传感器可以在呼出气中检测ppb级的生物标志物。由于呼出气中存在多种干扰气体，