Huang Liping, Zhu Yajie, Xu Changshun, Cai Yu, Yi Yongdong, Li Kang, Ren Xueqian, Jiang Danfeng, Ge Yuancai, Liu Xiaohu, Sun Weijian, Zhang Qingwen, Wang Yi
School of Biomedical Engineering, School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325001, PR China.
Engineering Research Center of Clinical Functional Materials and Diagnosis & Treatment Devices of Zhejiang Province, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325001, PR China.
ACS Sens. 2022 May 27;7(5):1439-1450. doi: 10.1021/acssensors.2c00146. Epub 2022 May 13.
SERS-based breath analysis as an emerging technique has attracted increasing attention in cancer screening. Here, eight aldehydes and ketones in the human breath are reported as the VOC biomarkers identified by gas chromatography-mass spectrometry (GC-MS) and applied further for the noninvasive diagnosis of gastric cancer (GC) with a tubular SERS sensor. The tubular SERS sensor is prepared with a glass capillary loaded with ZIF-67-coated silver particles (Ag@ZIF-67), which offers Raman enhancement from the plasmonic nanoparticles and gas enrichment from the metal-organic framework (MOF) shells. The composite materials are modified with 4-aminothiophenol (4-ATP) to capture different aldehyde and ketone compounds. The tubular sensor is served simultaneously as a gas flow channel and a detection chamber, bringing a higher gas capture efficiency than the planar SERS sensor. As a proof-of-concept, the tubular SERS sensor is successfully employed to screen gastric cancer patients with an accuracy of 89.83%, based on the noninvasive, rapid, and easily operated breath analysis. The results demonstrate that the established breath analysis method provides an excellent alternative for the screening of GC and other diseases.
基于表面增强拉曼光谱(SERS)的呼吸分析作为一种新兴技术,在癌症筛查中受到越来越多的关注。在此,报道了人体呼出气体中的八种醛和酮作为挥发性有机化合物(VOC)生物标志物,它们通过气相色谱 - 质谱联用仪(GC-MS)鉴定,并进一步应用于管状SERS传感器对胃癌(GC)的无创诊断。管状SERS传感器由装有涂有ZIF-67的银颗粒(Ag@ZIF-67)的玻璃毛细管制备而成,它提供了来自等离子体纳米颗粒的拉曼增强以及来自金属有机框架(MOF)壳层的气体富集。复合材料用4-氨基硫酚(4-ATP)进行修饰,以捕获不同的醛和酮化合物。管状传感器同时作为气体流动通道和检测室,比平面SERS传感器具有更高的气体捕获效率。作为概念验证,基于无创、快速且易于操作的呼吸分析,管状SERS传感器成功用于筛查胃癌患者,准确率达89.83%。结果表明,所建立的呼吸分析方法为胃癌及其他疾病的筛查提供了一种极佳的替代方法。