Department of Molecular and Biomolecular Department, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293, Cluj-Napoca, Romania.
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200433, People's Republic of China.
Biosens Bioelectron. 2023 Jan 1;219:114843. doi: 10.1016/j.bios.2022.114843. Epub 2022 Oct 25.
Emerging antibiotic resistant bacteria constitute one of the biggest threats to public health. Surface-enhanced Raman scattering (SERS) is highly promising for detecting such bacteria and for antibiotic susceptibility testing (AST). SERS is fast, non-destructive (can probe living cells) and it is technologically flexible (readily integrated with robotics and machine learning algorithms). However, in order to integrate into efficient point-of-care (PoC) devices and to effectively replace the current culture-based methods, it needs to overcome the challenges of reliability, cost and complexity. Recently, significant progress has been made with the emergence of both new questions and new promising directions of research and technological development. This article brings together insights from several representative SERS-based AST studies and approaches oriented towards clinical PoC biosensing. It aims to serve as a reference source that can guide progress towards PoC routines for identifying antibiotic resistant pathogens. In turn, such identification would help to trace the origin of sporadic infections, in order to prevent outbreaks and to design effective medical treatment and preventive procedures.
新兴的抗生素耐药菌对公众健康构成了最大的威胁之一。表面增强拉曼散射（SERS）在检测此类细菌和抗生素药敏试验（AST）方面具有很大的应用前景。SERS 速度快、非破坏性（可探测活细胞）且技术灵活（易于与机器人和机器学习算法集成）。然而，为了集成到高效的即时检测（PoC）设备中，并有效地替代当前基于培养的方法，它需要克服可靠性、成本和复杂性方面的挑战。最近，随着新问题的出现以及新的有前途的研究和技术发展方向的出现，已经取得了重大进展。本文汇集了基于 SERS 的 AST 研究和面向临床 PoC 生物传感的方法的见解。它旨在作为一个参考来源，为 PoC 常规方法用于识别抗生素耐药病原体提供指导。反过来，这种识别将有助于追踪散发性感染的来源，以防止爆发并设计有效的医疗和预防程序。
