热点(计算机编程)
拉曼光谱
饱和(图论)
表面增强拉曼光谱
检出限
分析化学(期刊)
材料科学
分析物
光谱学
曲面(拓扑)
极限(数学)
化学
光学
物理
色谱法
拉曼散射
数学
计算机科学
几何学
数学分析
组合数学
量子力学
操作系统
作者
Oara Neumann,Jingyi Zhou,Yilong Ju,Mary M. Bajomo,Andrés B. Sánchez-Alvarado,Julia Dolive,Beniam Kumela,Mattie Kumela,Ankit B. Patel,Peter Nordlander,Naomi J. Halas
标识
DOI:10.1021/acs.jpcc.4c00227
摘要
Surface-enhanced Raman spectroscopy (SERS) gained much attention following initial claims and subsequent verifications of single-molecule sensitivity. SERS substrates based on plasmonic nanoparticles in close proximity create "hot spots" when illuminated, which, in the single-molecule limit, follow log–normal statistics for molecular occupancy. Here, we rigorously examine the transition from the single-molecule limit to the limit of hot spot saturation, a regime that follows Gaussian statistics, by varying a 1:1 bianalyte concentration over 3 orders of magnitude. The bianalyte model is extended here to follow this transition, and the electromagnetic "hot spots" of both Au nanoparticle and Au nanoshells-based SERS substrates are described theoretically. This combined experimental-theoretical study provides a rigorous foundation for quantifying trace analyte detection over a wider and highly practical concentration range.
科研通智能强力驱动
Strongly Powered by AbleSci AI