Breath Analysis Based on Surface-Enhanced Raman Scattering Sensors Distinguishes Early and Advanced Gastric Cancer Patients from Healthy Persons
Breath Analysis Based on Surface-Enhanced Raman Scattering Sensors Distinguishes Early and Advanced Gastric Cancer Patients from Healthy Persons
复制标题
基于表面增强拉曼散射传感器的呼吸分析可区分早期和晚期胃癌患者与健康人。
DOI：
10.1021/acsnano.6b01441
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发表时间：
2016-09-01
期刊：
影响因子：
17.1
通讯作者：
Cui, Daxiang
中科院分区：
文献类型：
--
作者：
Chen, Yunsheng;Zhang, Yixia;Cui, Daxiang
采用气相色谱-质谱联用技术（GC-MS）结合固相微萃取技术（SPME），对14种呼吸中挥发性有机化合物（VOC）生物标志物进行了检测，以区分早期胃癌（EGC）和进展期胃癌（AGC）患者与健康人。然后，呼吸分析方法的基础上，表面增强拉曼散射（Sers）传感器被开发来检测这些生物标志物。利用肼蒸气吸附在氧化石墨烯（GO）膜上，在不添加任何有机稳定剂的情况下，通过在还原氧化石墨烯（RGO）上原位形成金纳米粒子（AuNPs），制备了清洁Sers传感器。在Sers传感器中，RGO作为SPME纤维可以选择性地吸附和富集呼吸中识别的生物标志物，并且良好分散在RGO上的AuNPs赋予Sers传感器对吸附的生物标志物的有效检测。选择与生物标志物相关联的14个拉曼谱带作为生物标志物模式的指纹，以区分处于不同状态的人。该方法成功地分析和区分了不同的模拟呼吸样本和200例临床患者的呼吸样本，灵敏度高于83%，特异性高于92%。因此，本研究中的VOC生物标志物和呼吸分析方法不仅可以诊断胃癌，而且可以区分EGC和AGC。这项工作在胃癌的初筛诊断和分期方面具有很大的临床应用潜力。
Fourteen volatile organic compound (VOC) biomarkers in the breath have been identified to distinguish early gastric cancer (EGC) and advanced gastric cancer (AGC) patients from healthy persons by gas chromatography-mass spectrometry coupled with solid phase microextraction (SPME). Then, a breath analysis approach based on a surface-enhanced Raman scattering (SERS) sensor was developed to detect these biomarkers. Utilizing hydrazine vapor adsorbed in graphene oxide (GO) film, the clean SERS sensor is facilely prepared by in situ formation of gold nanoparticles (AuNPs) on reduced graphene oxide (RGO) without any organic stabilizer. In the SERS sensor, RGO can selectively adsorb and enrich the identified biomarkers from breath as an SPME fiber, and AuNPs well dispersed on RGO endow the SERS sensor with an effective detection of adsorbed biomarkers. Fourteen Raman bands associated with the biomarkers are selected as the fingerprints of biomarker patterns to distinguish persons in different states. The approach has successfully analyzed and distinguished different simulated breath samples and 200 breath samples of clinical patients with a sensitivity of higher than 83% and a specificity of more than 92%. In conclusion, the VOC biomarkers and breath analysis approach in this study can not only diagnose gastric cancer but also distinguish EGC and AGC. This work has great potential for clinical translation in primary screening diagnosis and stage determination of stomach cancer in the near future.