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[点亮聚集体之光,共筑学术丰碑——庆祝唐本忠院士七秩华诞专辑] 拉曼成像技术的前沿进展及与聚集体科学交叉研究

李雨婷,罗亮   

  1. 华中科技大学生命科学与技术学院
  • 收稿日期:2026-01-01 修回日期:2026-01-31 网络首发:2026-02-22 发布日期:2026-02-22
  • 通讯作者: 罗亮
  • 基金资助:
    国家自然科学基金委员会(批准号:52325304)资助

Cutting-edge Advances in Raman Imaging Technology and Its Interdisciplinary Research with Aggregate Science

LI Yuting, LUO Liang   

  1. College of Life Science and Technology, Huazhong University of Science and Technology
  • Received:2026-01-01 Revised:2026-01-31 Online First:2026-02-22 Published:2026-02-22
  • Contact: Liang Luo
  • Supported by:
    Supported by the National Natural Science Foundation of China (No. 52325304)

摘要: 拉曼成像作为一种分子光谱技术,凭借其出色的特异性和高分辨率,在生命科学等研究领域得到了广泛的研究与应用。然而其发展仍面临信号微弱、采集速度慢、穿透深度不足等挑战。近年来,聚集科学的快速发展为解决拉曼成像的这些局限性提供了新的思路。聚集诱导发光(AIE)材料在聚集状态下会表现出增强的信号,有望弥补拉曼信号固有的微弱性。本文综述了拉曼成像技术的前沿进展及其与聚集科学交叉研究的现状,重点阐述了通过分子工程构建AIE-拉曼双响应探针的策略,以实现荧光定位与拉曼定量之间的功能互补,从而显著提高检测的灵敏度和特异性。这些探针在肿瘤手术导航、耐药菌诊疗、细胞器动态监测等应用中已展现出单细胞分辨率和高时空准确性。我们还分析了该领域面临的挑战,如生物安全性和分子设计的复杂性,并对未来的发展方向进行了展望,包括智能响应探针、人工智能辅助分析以及多模态融合平台。拉曼成像与AIE的融合将为医学成像等领域的突破性发展指明新方向。

关键词: 拉曼成像, 探针, 聚集体, 聚集诱导发光

Abstract: Raman imaging, as a molecular spectroscopy technique, has been widely studied and applied in research fields such as life sciences and food safety due to its excellent specificity and high resolution. However, its development still faces challenges such as weak signals, slow acquisition speed, and insufficient penetration depth. In recent years, the rapid development of aggregate science has provided new insights for addressing these limitations. Aggregation-induced emission (AIE) materials exhibit enhanced signals in the aggregated state, which may compensate for the inherent weak Raman signals. This article reviews the cutting-edge progress of Raman imaging technology and its current status in cross-disciplinary research with aggregate science, emphasizing the strategy of constructing AIE-Raman dual-responsive probes through molecular engineering to achieve functional complementarity between fluorescence localization and Raman quantification, thereby significantly improving detection sensitivity and specificity. These probes have demonstrated single-cell resolution and high spatiotemporal accuracy in applications such as tumor surgical navigation, diagnosis and treatment of drug-resistant bacteria, and dynamic monitoring of organelles. We also analyze the bottlenecks remained in this field, such as biological safety and the complexity of molecular design, and outlook the future development directions, including intelligent responsive probes, artificial intelligence-assisted analysis, and multimodal fusion platforms. The integration of Raman imaging and AIE sheds a new light on the breakthrough in the field of medical imaging.

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