Yu Xingxing, Tang Xuke, Dong Jun-Yu, Deng Yunjie, Saito Mitsuhiro, Gao Zhanglei, Pancorbo Pablo Martinez, Marumi Machiko, Peterson Walker, Zhang Huanhuan, Kishimoto Naoki, Alodhayb Abdullah N, Dwivedi Prabhat K, Ikuhara Yuichi, Kitahama Yasutaka, Xiao Ting-Hui, Goda Keisuke
Department of Chemistry, School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
Institute of Engineering Innovation, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-8656, Japan.
ACS Nano. 2024 Nov 12;18(45):30987-31001. doi: 10.1021/acsnano.4c06972. Epub 2024 Oct 31.
Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for label-free chemical analysis. The emergence of nonmetallic materials as SERS substrates, offering chemical signal enhancements, presents an exciting direction for achieving reproducible and biocompatible SERS, a challenge with traditional metallic substrates. Despite the potential, the realm of nonmetallic SERS substrates, particularly nanoparticles, remains largely untapped. Here, we present defect-engineered coordination compounds (DECCs) based on Prussian blue analogues (PBAs) as a class of nonmetallic nanoparticle-based SERS substrates. We demonstrate the utility and flexibility of the DECC template by incorporating various metal (M) elements into PBAs to synthesize nanoparticles that deliver substantial chemical mechanism (CM)-based enhancements to the Raman signal with a ∼ 10-fold increase. The introduction of the M-PBA-based DECC nanoparticles as a class of SERS substrates represents a pioneering stride, enabling the straightforward and systematic exploration of a library of compounds for SERS-based analysis of a wide range of target molecules, especially biomolecules.
表面增强拉曼光谱（SERS）是一种用于无标记化学分析的强大工具。作为SERS基底的非金属材料的出现，能够增强化学信号，为实现可重现且生物相容的SERS提供了一个令人兴奋的方向，而这对于传统金属基底来说是一项挑战。尽管具有潜力，但非金属SERS基底领域，尤其是纳米颗粒，在很大程度上仍未得到充分开发。在此，我们展示了基于普鲁士蓝类似物（PBA）的缺陷工程配位化合物（DECC）作为一类基于非金属纳米颗粒的SERS基底。通过将各种金属（M）元素掺入PBA中来合成纳米颗粒，我们证明了DECC模板的实用性和灵活性，这些纳米颗粒能为拉曼信号提供基于化学机制（CM）的显著增强，增幅约为10倍。引入基于M-PBA的DECC纳米颗粒作为一类SERS基底代表了一项开创性的进展，能够直接且系统地探索一系列化合物库，用于基于SERS对广泛目标分子，尤其是生物分子的分析。
