表面增强拉曼光谱
纳米技术
基质(水族馆)
拉曼光谱
概念证明
信号(编程语言)
电场
半导体
光电子学
材料科学
计算机科学
物理
生物
拉曼散射
光学
操作系统
量子力学
程序设计语言
生态学
作者
Sawsan Almohammed,Tristan M. Nolan,Niamh A. Martin,Wim G. Meijer,Brian J. Rodriguez,James H. Rice
摘要
Bacterial infections are a leading cause of mortality worldwide, underscoring the urgent need for effective detection methods. This study introduces a novel approach that combines surface-enhanced Raman spectroscopy (SERS) with an electro-optic technique for bacterial detection. The method utilizes a metal-semiconductor substrate that, when activated by an external electric field, significantly amplifies the SERS signal intensity. We validated this approach through a proof-of-concept study, demonstrating that the SERS signal of Gram-negative
科研通智能强力驱动
Strongly Powered by AbleSci AI