BIO-IT Foundry Technology Institute, Pusan National University, Busan 46241, Korea.
School of Nano Convergence Technology, Hallym University, Chuncheon 24252, Korea.
Biosensors (Basel). 2021 Sep 14;11(9):337. doi: 10.3390/bios11090337.
Artificial olfactory systems are needed in various fields that require real-time monitoring, such as healthcare. This review introduces cases of detection of specific volatile organic compounds (VOCs) in a patient's exhaled breath and discusses trends in disease diagnosis technology development using artificial olfactory technology that analyzes exhaled human breath. We briefly introduce algorithms that classify patterns of odors (VOC profiles) and describe artificial olfactory systems based on nanosensors. On the basis of recently published research results, we describe the development trend of artificial olfactory systems based on the pattern-recognition gas sensor array technology and the prospects of application of this technology to disease diagnostic devices. Medical technologies that enable early monitoring of health conditions and early diagnosis of diseases are crucial in modern healthcare. By regularly monitoring health status, diseases can be prevented or treated at an early stage, thus increasing the human survival rate and reducing the overall treatment costs. This review introduces several promising technical fields with the aim of developing technologies that can monitor health conditions and diagnose diseases early by analyzing exhaled human breath in real time.
人工嗅觉系统在需要实时监测的各个领域都有需求,例如医疗保健。本篇综述介绍了在患者呼气中检测特定挥发性有机化合物(VOC)的案例,并讨论了使用分析人体呼气的人工嗅觉技术进行疾病诊断技术发展的趋势。我们简要介绍了分类气味模式(VOC 图谱)的算法,并描述了基于纳米传感器的人工嗅觉系统。基于最近发表的研究结果,我们描述了基于模式识别气体传感器阵列技术的人工嗅觉系统的发展趋势,以及该技术应用于疾病诊断设备的前景。能够对健康状况进行早期监测和对疾病进行早期诊断的医疗技术在现代医疗保健中至关重要。通过定期监测健康状况,可以在疾病早期进行预防或治疗,从而提高人类的存活率并降低整体治疗成本。本篇综述介绍了几个有前途的技术领域,旨在通过实时分析人体呼气来开发能够监测健康状况和早期诊断疾病的技术。