Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients.
Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients.
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DOI：
10.3390/s16071149
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发表时间：
2016-07-22
期刊：
影响因子：
--
通讯作者：
Meyer E
中科院分区：
文献类型：
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作者：
Lang HP;Loizeau F;Hiou-Feige A;Rivals JP;Romero P;Akiyama T;Gerber C;Meyer E
对于许多疾病，当一个特定的器官受到影响时，可以在患者的呼出气中发现化学副产品。呼吸分析通常使用气相色谱法和质谱法进行，但结果的解释是困难和耗时的。我们通过基于纳米机械膜传感器阵列的电子鼻技术对患者的呼出气样本进行表征。每个膜都涂有不同的薄聚合物层。通过将呼出的气体泵入测量室，患者呼吸中存在的挥发性有机化合物扩散到聚合物层中，并通过表面应力的变化使膜变形。膜的弯曲被压电地测量，并且信号被转换成电压。传感器偏转模式允许表征患者的状况。在一项临床初步研究中，我们调查了头颈癌患者和健康对照者的呼吸样本。使用主成分分析进行的评价可以明确区分这两组。由于头颈部肿瘤可以通过手术完全切除，治愈患者术后再次进行呼吸调查，结果与健康对照组相似，表明手术成功。
For many diseases, where a particular organ is affected, chemical by-products can be found in the patient’s exhaled breath. Breath analysis is often done using gas chromatography and mass spectrometry, but interpretation of results is difficult and time-consuming. We performed characterization of patients’ exhaled breath samples by an electronic nose technique based on an array of nanomechanical membrane sensors. Each membrane is coated with a different thin polymer layer. By pumping the exhaled breath into a measurement chamber, volatile organic compounds present in patients’ breath diffuse into the polymer layers and deform the membranes by changes in surface stress. The bending of the membranes is measured piezoresistively and the signals are converted into voltages. The sensor deflection pattern allows one to characterize the condition of the patient. In a clinical pilot study, we investigated breath samples from head and neck cancer patients and healthy control persons. Evaluation using principal component analysis (PCA) allowed a clear distinction between the two groups. As head and neck cancer can be completely removed by surgery, the breath of cured patients was investigated after surgery again and the results were similar to those of the healthy control group, indicating that surgery was successful.