Zhuang Linlin, Zhu Mengling, Chen Xinya, Liu Xiaoming, Yuan Tianyu, Zhou Chuang, Lian Xue, Xu Yunming, Zhang Yu, Shen Qiuping
School of Animal Husbandry and Veterinary Medicine, Jiangsu Vocational College of Agriculture and Forestry, Jurong, 212400, People's Republic of China.
State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering & Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, Nanjing, 211102, People's Republic of China.
Anal Sci. 2025 Sep 6. doi: 10.1007/s44211-025-00843-4.
Staphylococcus aureus (S. aureus) and methicillin-resistant S. aureus (MRSA) are important pathogens that are closely associated with hospital-acquired and community-acquired infections. Rapid and accurate detection methods are important for early diagnosis and treatment of diseases. This paper reviews the latest research progress in the field of rapid detection of S. aureus and MRSA, including chromogenic media, immunological detection methods (e.g., enzyme-linked immunosorbent assays, lateral flow assays, colorimetric/fluorescent immunoassays, etc.), nucleic acid tests (including polymerase chain reaction-based methods, isothermal amplification techniques), biosensors, and novel emerging methods, etc. The advantages and disadvantages of these methods are systematically analyzed and discussed. Future research should focus on improving analytical sensitivity and specificity, shortening detection time, reducing detection cost, and promoting the integration of multiple platforms and intelligent analysis, especially for the development of technologies for point-of-care testing. These efforts are crucial to addressing the pressing need for rapid clinical diagnosis.
金黄色葡萄球菌（S. aureus）和耐甲氧西林金黄色葡萄球菌（MRSA）是与医院获得性感染和社区获得性感染密切相关的重要病原体。快速准确的检测方法对于疾病的早期诊断和治疗至关重要。本文综述了金黄色葡萄球菌和MRSA快速检测领域的最新研究进展，包括显色培养基、免疫检测方法（如酶联免疫吸附测定、侧向流动测定、比色/荧光免疫测定等）、核酸检测（包括基于聚合酶链反应的方法、等温扩增技术）、生物传感器以及新兴方法等。系统地分析和讨论了这些方法的优缺点。未来的研究应集中在提高分析灵敏度和特异性、缩短检测时间、降低检测成本以及促进多平台整合和智能分析，特别是用于即时检测技术的开发。这些努力对于满足快速临床诊断的迫切需求至关重要。
