Biomedical and Electronic (10(-6)-10(-9)) Engineering Systems Laboratory, Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India.
Biomedical and Electronic (10(-6)-10(-9)) Engineering Systems Laboratory, Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India; Center for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Biosens Bioelectron. 2019 Oct 1;142:111552. doi: 10.1016/j.bios.2019.111552. Epub 2019 Aug 9.
Superbugs such as infectious bacteria pose a great threat to humanity due to an increase in bacterial mortality leading to clinical treatment failure, lengthy hospital stay, intravenous therapy and accretion of bacteraemia. These disease-causing bacteria gain resistance to drugs over time which further complicates the treatment. Monitoring of antibiotic resistance is therefore necessary so that bacterial infectious diseases can be diagnosed rapidly. Antimicrobial susceptibility testing (AST) provides valuable information on the efficacy of antibiotic agents and their dosages for treatment against bacterial infections. In clinical laboratories, most widely used AST methods are disk diffusion, gradient diffusion, broth dilution, or commercially available semi-automated systems. Though these methods are cost-effective and accurate, they are time-consuming, labour-intensive, and require skilled manpower. Recently much attention has been on developing rapid AST techniques to avoid misuse of antibiotics and provide effective treatment. In this review, we have discussed emerging engineering AST techniques with special emphasis on phenotypic AST. These techniques include fluorescence imaging along with computational image processing, surface plasmon resonance, Raman spectra, and laser tweezer as well as micro/nanotechnology-based device such as microfluidics, microdroplets, and microchamber. The mechanical and electrical behaviour of single bacterial cell and bacterial suspension for the study of AST is also discussed.
超级细菌(如传染性细菌)对人类构成了巨大威胁,因为细菌死亡率的增加导致临床治疗失败、住院时间延长、静脉治疗和菌血症增加。这些致病菌随着时间的推移会对药物产生耐药性,这进一步使治疗复杂化。因此,有必要监测抗生素耐药性,以便能够快速诊断细菌性传染病。抗生素药敏试验(AST)提供了有关抗生素药物疗效及其治疗细菌感染剂量的宝贵信息。在临床实验室中,最广泛使用的 AST 方法是纸片扩散、梯度扩散、肉汤稀释或市售半自动系统。尽管这些方法具有成本效益且准确,但它们耗时、劳动强度大,并且需要熟练的人力。最近,人们越来越关注开发快速 AST 技术,以避免抗生素的滥用并提供有效治疗。在这篇综述中,我们讨论了新兴的工程 AST 技术,特别强调表型 AST。这些技术包括荧光成像以及计算图像处理、表面等离子体共振、拉曼光谱和激光镊子以及基于微/纳米技术的设备,如微流控、微滴和微腔。还讨论了用于 AST 研究的单个细菌细胞和细菌悬浮液的机械和电气行为。