Advanced Raman Spectroscopic Methods for the Identification of Trace Evidence

用于识别痕量证据的先进拉曼光谱方法

• 批准号: 1402750
• 负责人: John Lombardi
• 金额: $ 46.5万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-15 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1402750&HistoricalAwards=false
• 关键词: Advanced; Raman; Spectroscopic; Methods; Identification

In this project supported by the Chemical Measurement and Imaging Program, Researchers from the City College of New York, John Jay College of Criminal Justice, and the Metropolitan Museum of Art will develop methods for the evaluation of trace evidence and the examination of questioned documents by surface-enhanced Raman scattering. The focus is on pursuing non-destructive methods of analysis and techniques involving combination of Raman spectroscopy with other separation methods for the analysis of complex samples. This multidisciplinary collaboration seeks to achieve significant advances in the application of surface-enhanced Raman scattering (SERS) analysis to the evaluation of trace evidence and the examination of questioned documents. The project will continue to develop the core of a searchable spectral library of substances of forensic interest such as organic dyes and pigments, pharmaceuticals, and drugs of abuse. The involvement of undergraduate, Masters level, and PhD students in the research will also result in a substantial contribution to the training of the future generation of forensic scientists.In this research, the investigators plan to focus on approaches for SERS analysis by developing standardized reproducible protocols for analysis of ink (including gel pen inks and black inks) and fiber samples, controlled substances, as well as colorants used in fabrics and paints. They will also develop procedures to deal with matrix interferences in SERS spectra, and continue to work on methods for completely non-destructive SERS analysis of documents and textiles, expanding the range of solvent systems and gel formulations to include easily available gelling materials such as agar and methylcellulose. The researchers will develop extraction procedures for gel pen and black inks suitable for SERS analysis and hyphenated techniques such as high performance thin-layer chromatography (HPTLC)-SERS for the separation and identification of mixtures.

在化学测量和成像计划的支持下，纽约市学院的研究人员，约翰·杰伊刑事司法学院和大都会艺术博物馆将开发方法，以评估痕量证据并通过检查痕量证据和检查质疑文档的检查。表面增强的拉曼散射。重点是追求涉及拉曼光谱与其他分离方法组合的分析和技术的非破坏性方法，以分析复杂样品。这种多学科的合作旨在在应用表面增强的拉曼散射（SERS）分析（SERS）分析到痕量证据评估和质疑文件的检查时取得重大进展。该项目将继续开发出可搜索的法医兴趣物质的核心库，例如有机染料和颜料，药品和滥用药物。本科，硕士级别和博士生参与研究也将为未来一代法医科学家的培训做出重大贡献。在这项研究中，研究人员计划通过开发标准化的可重复性来专注于SERS分析的方法用于分析墨水（包括凝胶笔墨和黑色油墨）和纤维样品，受控物质以及用于织物和油漆的着色剂的方案。他们还将制定处理SERS光谱中矩阵干扰的程序，并继续致力于对文档和纺织品进行完全无损的SERS分析的方法，扩大溶剂系统和凝胶配方的范围，以包括易于使用的胶凝材料，例如琼脂和甲基纤维素。研究人员将开发用于适合SERS分析和连字符技术的凝胶笔和黑色油墨的提取程序，例如高性能薄层色谱（HPTLC） - 用于分离和鉴定混合物。