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通过涂覆非聚合有机材料的单壁碳纳米管随机网络检测肺癌生物标志物的模拟模式。

Detecting simulated patterns of lung cancer biomarkers by random network of single-walled carbon nanotubes coated with nonpolymeric organic materials.

作者信息

Peng Gang, Trock Elena, Haick Hossam

机构信息

The Department of Chemical Engineering and Russell Barrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 32000, Israel.

出版信息

Nano Lett. 2008 Nov;8(11):3631-5. doi: 10.1021/nl801577u. Epub 2008 Oct 8.

DOI:10.1021/nl801577u
PMID:18839997
Abstract

An array of chemiresistive random network of single-walled carbon nanotubes coated with nonpolymeric organic materials shows a high potential for diagnosis of lung cancer via breath samples. The sensors array shows excellent discrimination between the volatile organic compounds (VOCs) found in the breath of patients with lung cancer, relative to healthy controls, especially if the sensors array is preceded with either water extractor and/or preconcentrator of VOCs. The pattern compositions of the healthy and cancerous states were determined by gas-chromatography linked with mass-spectroscopy (GC-MS) analysis of real exhaled breath.

摘要

由涂覆有非聚合有机材料的单壁碳纳米管组成的化学电阻随机网络阵列,在通过呼吸样本诊断肺癌方面显示出很高的潜力。相对于健康对照,该传感器阵列对肺癌患者呼出气体中发现的挥发性有机化合物(VOC)具有出色的区分能力,特别是在传感器阵列之前配备有VOC脱水器和/或预浓缩器的情况下。通过气相色谱与呼出气体的质谱(GC-MS)分析相结合,确定了健康状态和癌症状态的模式组成。

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