用灵活的石墨烯/ag/SEBS基质结合表面增强的拉曼光谱来确定血源
Jiansheng Chen1, Jiaojiao Sun2, Zhiqiang Zhang3
1School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China; Jiangsu Key Laboratory of Advanced Diagnosis and Treatment Technology and Equipment, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|February 25, 2026
概括
这项研究引入了一种新的灵活的SERS基质,用于法医学中快速,非破坏性的血种识别. 石墨烯/Ag/SEBS平台实现了高精度,为现场分析提供了一个便携式解决方案.
科学领域:
- 法医科学 法医科学 法医科学
- 材料科学 材料科学 材料科学
- 分析化学 分析化学
背景情况:
- 血型鉴定对于法医调查至关重要.
- 表面增强拉曼散射 (SERS) 提供了快速,敏感和非破坏性的分析.
- 在SERS中直接的金属-生物分子相互作用会导致光谱干扰和样品降解.
研究的目的:
- 开发一种新的灵活的SERS基质,用于快速而非破坏性的血型鉴定.
- 在SERS分析中克服光谱干扰和样本降解的挑战.
- 创建一个便携式和准确的工具,用于现场的法医应用.
主要方法:
- 制造具有"三明治"结构的柔性石墨烯/Ag/SEBS SERS基材.
- 基板性能的评估,包括检测灵敏度,储存稳定性和机械耐用性.
- 从五种动物物种收集SERS光谱,并使用卷积神经网络 (CNN) 进行分类.
主要成果:
- 石墨烯/Ag/SEBS基材表现出高检测灵敏度 (10-12M为4-MBA),优异的存储稳定性 (>30天),以及机械耐用性 (>100个折叠周期).
- CNN模型实现了高分类性能:98.54%的准确性,98.29%的精度,98.38%的回忆力用于血型识别.
- 基板保持了档案样本的光谱完整性长达31天,使得快速的现场分析.
结论:
- 灵活的石墨烯/Ag/SEBS SERS平台提供了一种可靠和准确的方法,用于非破坏性血种识别.
- 这项技术为法医应用提供了现场可移植性,快速结果和高精度.
- 新型基板设计有效地防止了金属与血液的直接接触,提高了光谱质量和样品的保存.
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