Zhou Jie, Zhang Xiaoqiuyan, Xu Xingxing, Wei Yuanpei, Zhang Tianyu, Tang Fu, Wei Yanyu, Gong Yubin, Chen Xuequan, Wang Tianwu, Wang Yunxia, Lamy de la Chapelle Marc, Li Jianjun, Zhao Xiang, Fu Weiling, Hu Min
Department of Oncology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
Department of Laboratory Medicine, Xingcheng Special Service Sanatorium of Strategic Support Force, Liaoning 125105, China.
ACS Appl Mater Interfaces. 2025 Mar 26;17(12):18074-18082. doi: 10.1021/acsami.4c22571. Epub 2025 Mar 12.
Single-bacterium diagnostic methods with unprecedented precision and rapid turnaround times are promising tools for facilitating the transition from empirical treatment to personalized anti-infection treatment. Terahertz (THz) radiation, a cutting-edge technology for identifying pathogens, enables the label-free and non-destructive detection of intermolecular vibrational modes and bacterial dielectric properties. However, this individual dielectric property-based detection and the mismatched spatial resolution are limited for the single-bacterium identification of various species of pathogens. Here, we demonstrate a single-bacterium THz dielectric nanoimaging (STDN) strategy by customized THz scattering-type scanning near-field optical microscopy. The THz nanoimages of bacteria are explained and confirmed by theoretical modeling and near-field measurement. By synchronously tracking the bacterial intrinsic dielectric property and extrinsic morphology, the strategy achieved 99.3% and 91.6% accuracy in species identification and antibiotic susceptibility testing with the trained classifier within 2 hours. This proof-of-concept STDN strategy may propel precise bacterial infection management and help to counteract antibiotic resistance.
具有前所未有的精度和快速周转时间的单细菌诊断方法是促进从经验性治疗向个性化抗感染治疗转变的有前途的工具。太赫兹(THz)辐射是一种用于识别病原体的前沿技术,能够对分子间振动模式和细菌介电特性进行无标记和非破坏性检测。然而,这种基于个体介电特性的检测以及不匹配的空间分辨率在对各种病原体进行单细菌鉴定时受到限制。在此,我们通过定制的太赫兹散射型扫描近场光学显微镜展示了一种单细菌太赫兹介电纳米成像(STDN)策略。细菌的太赫兹纳米图像通过理论建模和近场测量得到解释和证实。通过同步跟踪细菌的固有介电特性和外在形态,该策略在2小时内使用训练好的分类器在菌种鉴定和抗生素敏感性测试中分别达到了99.3%和91.6%的准确率。这种概念验证的STDN策略可能会推动精确的细菌感染管理,并有助于对抗抗生素耐药性。