项目名称: 磁优化表面增强拉曼散射技术及其在生物标志物分析中的应用
项目编号: No.21475088
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 数理科学和化学
项目作者: 杨海峰
作者单位: 上海师范大学
项目金额: 82万元
中文摘要: 利用软模板法和有机小分子控型试剂,微波水热合成高稳定的网状结构磁/金或银或金银合金纳米复合材料。基于磁场调控的表面等离子共振效应,增敏纳米复合材料的表面增强拉曼散射(SERS)效应达飞摩尔水平,并探索其理论机理。将磁优化SERS技术,结合纳米表面探针修饰技术与化学计量学方法,应用于人体体液中肿瘤生物标志物肌酐及儿茶酚胺、唾液中尼古丁代谢物可替宁、指纹(汗液)中可卡因生物标志物苯甲酰爱康宁和肾脏损失相关的生物标志物降钙素的定量检测。与标准分析方法比较,评价磁优化SERS技术的选择性、灵敏性和可靠性。探索利用手提式小型拉曼仪,实现上述痕量生物标志物现场快速检测的可能。本课题的研究成果针对复杂体系中分析痕量生物标志物的快速可靠检测的需求,将为医学诊断、药物研发和社会安全作出技术贡献。
中文关键词: 表面增强拉曼光谱;磁性/贵金属纳米材料;痕量快速检测;化学计量学;生物标志物
英文摘要: Using soft template and small organic molecules as sharp-control reagents, with microwave hydrothermal method, the highly stable network structures of magnetic / gold or silver or gold and silver alloy nanocomposites are synthesized. Based on surface plasmon resonance effect controlled by the magnetic field, increased Sensitivity of surface -enhanced Raman scattering (SERS) effect of the resulting nanocomposite could be reached to a femtomolar level and its theoretical mechanism will be explored. The magnetically optimized SERS technology, combined with probe modification technology for nanocomposite surface and chemometrics methods could be applied to analyze human tumor biomarkers in body fluids such as catecholamines creatinine, nicotine metabolite cotinine in saliva , trace cocaine biomarker named benzoylecgonine in a fingerprint (sweat) as well as renal-damage-related biomarkers of calcitonin ,quantitatively. Compared with standard analytical methods, the sensitivity and reliability of magnetically improved SERS technology will be evaluated. Using a small portable Raman instrument explore the possibility of application to onsite and rapid detection of these trace biomarkers. The research results due to support from this project will meet the needs of the detection of trace biomarkers in complex system with a fast and reliable way, in order to making a technical contribution to medical diagnostics, drug development, and social safety.
英文关键词: SERS;Magnetic noble metal nanomaterials;Rapid Trace detection;Chemometrics;biomarkers