| Title: | Breath Analysis Based on Surface-Enhanced Raman Scattering Sensors Distinguishes Early and Advanced Gastric Cancer Patients from Healthy Persons |
| Author(s): | Chen Y; Zhang Y; Pan F; Liu J; Wang K; Zhang C; Cheng S; Lu L; Zhang W; Zhang Z; Zhi X; Zhang Q; Alfranca G; de la Fuente JM; Chen D; Cui D; |
| Address: | "Department of Digestive Diseases, Huashan Hospital, Fudan University , Shanghai 210040, People's Republic of China. Department of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai 200080, People's Republic of China. Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai 200233, People's Republic of China. Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai 200011, People's Republic of China. Instituto de Ciencia de Materiales de Aragon (ICMA-CSIC), Universidad de Zaragoza , 50009 Zaragoza, Spain" |
| ISSN/ISBN: | 1936-086X (Electronic) 1936-0851 (Linking) |
| Abstract: | "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" |
| Keywords: | "*Breath Tests Case-Control Studies Gold Humans *Metal Nanoparticles *Spectrum Analysis, Raman Stomach Neoplasms/*diagnosis Volatile Organic Compounds advanced gastric cancer breath analysis early gastric cancer reduced graphene oxide surface-enhanced Rama;" |
| Notes: | "MedlineChen, Yunsheng Zhang, Yixia Pan, Fei Liu, Jie Wang, Kan Zhang, Chunlei Cheng, Shangli Lu, Lungen Zhang, Wei Zhang, Zheng Zhi, Xiao Zhang, Qian Alfranca, Gabriel de la Fuente, Jesus M Chen, Di Cui, Daxiang eng Research Support, Non-U.S. Gov't 2016/07/14 ACS Nano. 2016 Sep 27; 10(9):8169-79. doi: 10.1021/acsnano.6b01441. Epub 2016 Jul 26" |
