Simple visualized readout of suppressed coffee ring patterns for rapid and isothermal genetic testing of antibacterial resistance

微珠(研究) 环介导等温扩增 咖啡环效应 戒指(化学) 基质(水族馆) 蒸发 模板 滚动圆复制 材料科学 纳米技术 化学 生物物理学 分析化学(期刊) 生物 色谱法 物理 热力学 DNA 生物化学 有机化学 DNA复制 生态学
作者
Yoo Kyung Kang,San Hae Im,Jea Sung Ryu,Jae‐Hyun Lee,Hyun Jung Chung
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:168: 112566-112566 被引量:26
标识
DOI:10.1016/j.bios.2020.112566
摘要

We present a facile method based on the coffee ring effect that can rapidly detect antibiotic-resistant bacteria, as an affordable genetic testing platform. When a colloidal solution of particles is dropped onto a substrate surface, an outward capillary flow upon evaporation induces the migration of the particles to the periphery of the droplet, forming a characteristic ring pattern. Herein, we utilize capture DNA microbeads which in the presence of target nucleic acid, form suppressed ring patterns by hybridization-induced crosslinking of the microbeads. The coffee ring-based assay is integrated with isothermal amplification based on rolling circle amplification (RCA), to produce long, single-stranded target DNA and induce hybridization, via a one-step procedure (i-CoRi assay). The resultant ring patterns can be simply observed with the naked eye or recorded with a standard mobile device for readout. The i-CoRi assay was validated for the rapid and specific detection of the antibiotic resistance gene mecA for MRSA, showing that detection was possible at the sub-zeptomolar range (~0.2 zM) with the specificity of distinguishing 2 mismatched bases. The spatial patterns of the microbeads were characterized, showing the dense packing of the microbeads at the center of the droplet and thinning of the ring pattern for the MRSA target, which were distinct from the negative controls MSSA, E. coli, and P. aeruginosa. The images of the microbead patterns were also processed by a simple readout algorithm to discriminate the presence or absence of the coffee ring, to enable diagnostic decision making. The current method provides a rapid and versatile platform for the specific identification of bacterial pathogens and multidrug resistance, especially for diagnosis in resource-limited settings.
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