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基于石墨烯的用于通过呼吸生物标志物进行人体健康监测的传感器的最新进展。

The State of the Art on Graphene-Based Sensors for Human Health Monitoring through Breath Biomarkers.

机构信息

Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-NOVA), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-NOVA, 2829-516 Caparica, Portugal.

出版信息

Sensors (Basel). 2023 Nov 19;23(22):9271. doi: 10.3390/s23229271.

Abstract

The field of organic-borne biomarkers has been gaining relevance due to its suitability for diagnosing pathologies and health conditions in a rapid, accurate, non-invasive, painless and low-cost way. Due to the lack of analytical techniques with features capable of analysing such a complex matrix as the human breath, the academic community has focused on developing electronic noses based on arrays of gas sensors. These sensors are assembled considering the excitability, sensitivity and sensing capacities of a specific nanocomposite, graphene. In this way, graphene-based sensors can be employed for a vast range of applications that vary from environmental to medical applications. This review work aims to gather the most relevant published papers under the scope of "Graphene sensors" and "Biomarkers" in order to assess the state of the art in the field of graphene sensors for the purposes of biomarker identification. During the bibliographic search, a total of six pathologies were identified as the focus of the work. They were lung cancer, gastric cancer, chronic kidney diseases, respiratory diseases that involve inflammatory processes of the airways, like asthma and chronic obstructive pulmonary disease, sleep apnoea and diabetes. The achieved results, current development of the sensing sensors, and main limitations or challenges of the field of graphene sensors are discussed throughout the paper, as well as the features of the experiments addressed.

摘要

由于其适合快速、准确、非侵入性、无痛和低成本地诊断病理学和健康状况,有机生物标志物领域变得越来越重要。由于缺乏具有分析人类呼吸等复杂基质能力的分析技术,学术界专注于开发基于气体传感器阵列的电子鼻。这些传感器是根据特定纳米复合材料(石墨烯)的兴奋性、灵敏度和传感能力来组装的。通过这种方式,基于石墨烯的传感器可以用于从环境到医疗应用等各种广泛的应用。这项综述工作旨在收集“石墨烯传感器”和“生物标志物”范围内最相关的已发表论文,以评估用于生物标志物识别的石墨烯传感器领域的最新技术。在文献检索过程中,总共确定了六种疾病作为工作重点。它们是肺癌、胃癌、慢性肾脏疾病、涉及气道炎症过程的呼吸道疾病,如哮喘和慢性阻塞性肺疾病、睡眠呼吸暂停和糖尿病。本文讨论了所取得的结果、当前传感传感器的发展以及石墨烯传感器领域的主要限制或挑战,以及所涉及实验的特点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cb8/10674474/a52bd38c4413/sensors-23-09271-g001.jpg

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