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用于皮肤诊断的半导体气体选择型传感探头的未来发展趋势。

Future Trends in Semiconducting Gas-Selective Sensing Probes for Skin Diagnostics.

机构信息

Department of Materials Science and Engineering (MSE), The Ohio State University, Columbus, OH 43210, USA.

出版信息

Sensors (Basel). 2021 Nov 13;21(22):7554. doi: 10.3390/s21227554.

Abstract

This paper presents sensor nanotechnologies that can be used for the skin-based gas "smelling" of disease. Skin testing may provide rapid and reliable results, using specific "fingerprints" or unique patterns for a variety of diseases and conditions. These can include metabolic diseases, such as diabetes and cholesterol-induced heart disease; neurological diseases, such as Alzheimer's and Parkinson's; quality of life conditions, such as obesity and sleep apnea; pulmonary diseases, such as cystic fibrosis, asthma, and chronic obstructive pulmonary disease; gastrointestinal tract diseases, such as irritable bowel syndrome and colitis; cancers, such as breast, lung, pancreatic, and colon cancers; infectious diseases, such as the flu and COVID-19; as well as diseases commonly found in ICU patients, such as urinary tract infections, pneumonia, and infections of the blood stream. Focusing on the most common gaseous biomarkers in breath and skin, which is nitric oxide and carbon monoxide, and certain abundant volatile organic compounds (acetone, isoprene, ammonia, alcohols, sulfides), it is argued here that effective discrimination between the diseases mentioned above is possible, by capturing the relative sensor output signals from the detection of each of these biomarkers and identifying the distinct breath print for each disease.

摘要

本文介绍了可用于基于皮肤的气体“嗅探”疾病的传感器纳米技术。皮肤测试可以提供快速可靠的结果,使用特定的“指纹”或独特的模式来诊断各种疾病和病症。这些疾病包括代谢疾病,如糖尿病和胆固醇引起的心脏病;神经疾病,如阿尔茨海默病和帕金森病;生活质量状况,如肥胖和睡眠呼吸暂停;肺部疾病,如囊性纤维化、哮喘和慢性阻塞性肺疾病;胃肠道疾病,如肠易激综合征和结肠炎;癌症,如乳腺癌、肺癌、胰腺癌和结肠癌;传染病,如流感和 COVID-19;以及 ICU 患者中常见的疾病,如尿路感染、肺炎和血流感染。本文集中讨论了呼吸和皮肤中最常见的气态生物标志物,即一氧化氮和一氧化碳,以及某些丰富的挥发性有机化合物(丙酮、异戊二烯、氨、醇、硫化物),通过捕获每个生物标志物检测的相对传感器输出信号,并识别每种疾病的独特呼吸特征,证明了对上述疾病进行有效区分是可能的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cf/8618486/2f21ed6f469d/sensors-21-07554-g001.jpg

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