Single-cell Raman spectroscopy for rapid detection of bacteria in ballast water and UV254 treatment evaluation

作者：Anqi Yang, Zhipeng Hu, Xiaer Zou, Yuan Zhang, Jiao Qian, Shuo Li, Junbo Liang, Sailing He · 发表于：Talanta · 年份：2024 · DOI：10.1016/j.talanta.2024.127266 · 被引用次数：6 · 研究领域：Spectroscopy Techniques in Biomedical and Chemical Research、Identification and Quantification in Food、Marine Ecology and Invasive Species

The increasing global trade has facilitated the transfer of ship ballast water, which has emerged as a primary pathway for alien species invasion into marine ecosystems, posing significant threats to marine biodiversity. Addressing the technical challenges in rapid microorganism detection and treatment efficiency assessment, this study developed a confocal Raman microscopic imaging (CRMI) system integrated with a metal-insulator-metal (MIM) broadband surface-enhanced Raman scattering (SERS) chip, enabling efficient acquisition of single-cell Raman spectroscopy (SCRS). By incorporating machine learning algorithms, the system achieved precise identification of up to 10 bacterial types in ballast water, exhibiting remarkable performance metrics with average accuracy, sensitivity, specificity, and precision above 95.5 %, 95.5 %, 99.5 %, and 95.5 %, respectively. To evaluate the efficacy of ultraviolet (UV) treatment, a Raman spectroscopy-based approach combined with heavy water labeling was introduced to characterize the changes in bacterial single-cell metabolic activity under UV 254 irradiation. Experimental results demonstrated that a 10-min UV 254 exposure at an effective intensity of 2 mW/cm 2 was sufficient to achieve complete bacterial sterilization for the specific ballast water used in our experiment. This study not only established an efficient and accurate method for rapid detection of mixed bacteria but also provided a novel perspective for assessing UV treatment effe...