Diagnosing lung cancer in exhaled breath using gold nanoparticles
Diagnosing lung cancer in exhaled breath using gold nanoparticles
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DOI：
10.1038/nnano.2009.235
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发表时间：
2009-10-01
影响因子：
38.3
通讯作者：
Haick, Hossam
中科院分区：
文献类型：
--
作者：
Peng, Gang;Tisch, Ulrike;Haick, Hossam
传统的肺癌诊断方法(1，2)不适合广泛筛查(2，3)，因为它们昂贵，而且偶尔会漏掉肿瘤。气相色谱/质谱仪研究表明，几种在健康人体呼气中通常出现在1-20 ppb水平的挥发性有机化合物，在肺癌患者中升高到10-100 ppb水平(4-6 ppb)。在这里，我们展示了一组基于金纳米颗粒的传感器，可以在高湿度的大气中快速区分肺癌患者的呼吸和健康人的呼吸。结合固相微萃取(7)，用气相色谱/质谱仪鉴定了42种代表肺癌生物标志物的挥发性有机化合物。其中四个被用来训练和优化传感器，证明了患者和模拟呼吸样本之间的良好一致性。我们的结果表明，基于金纳米颗粒的传感器可以形成一种廉价的、非侵入性的肺癌诊断工具。
Conventional diagnostic methods for lung cancer(1,2) are unsuitable for widespread screening(2,3) because they are expensive and occasionally miss tumours. Gas chromatography/mass spectrometry studies have shown that several volatile organic compounds, which normally appear at levels of 1-20 ppb in healthy human breath, are elevated to levels between 10 and 100 ppb in lung cancer patients(4-6). Here we show that an array of sensors based on gold nanoparticles can rapidly distinguish the breath of lung cancer patients from the breath of healthy individuals in an atmosphere of high humidity. In combination with solid-phase microextraction(7), gas chromatography/mass spectrometry was used to identify 42 volatile organic compounds that represent lung cancer biomarkers. Four of these were used to train and optimize the sensors, demonstrating good agreement between patient and simulated breath samples. Our results show that sensors based on gold nanoparticles could form the basis of an inexpensive and non-invasive diagnostic tool for lung cancer.