分析物
生物传感器
模块化设计
链霉亲和素
DNA
构象变化
适体
组合化学
连接器
循环伏安法
纳米技术
纳米
计算机科学
化学
电化学
电极
生物
材料科学
生物化学
生物素
色谱法
物理化学
复合材料
遗传学
操作系统
作者
Byoung-jin Jeon,Matteo M. Guareschi,Jaimie Marie Stewart,Emily Wu,Ashwin Gopinath,Netzahualcóyotl Arroyo‐Currás,Philippe Dauphin‐Ducharme,Kevin W. Plaxco,Philip S. Lukeman,Paul W. K. Rothemund
标识
DOI:10.1073/pnas.2311279121
摘要
The diversity and heterogeneity of biomarkers has made the development of general methods for single-step quantification of analytes difficult. For individual biomarkers, electrochemical methods that detect a conformational change in an affinity binder upon analyte binding have shown promise. However, because the conformational change must operate within a nanometer-scale working distance, an entirely new sensor, with a unique conformational change, must be developed for each analyte. Here, we demonstrate a modular electrochemical biosensor, built from DNA origami, which is easily adapted to diverse molecules by merely replacing its analyte binding domains. Instead of relying on a unique nanometer-scale movement of a single redox reporter, all sensor variants rely on the same 100-nm scale conformational change, which brings dozens of reporters close enough to a gold electrode surface that a signal can be measured via square-wave voltammetry, a standard electrochemical technique. To validate our sensor’s mechanism, we used single-stranded DNA as an analyte, and optimized the number of redox reporters and various linker lengths. Adaptation of the sensor to streptavidin and Platelet-Derived Growth Factor-BB (PDGF-BB) analytes was achieved by simply adding biotin or anti-PDGF aptamers to appropriate DNA linkers. Geometrically optimized streptavidin sensors exhibited signal gain and limit of detection markedly better than comparable reagentless electrochemical sensors. After use, the same sensors could be regenerated under mild conditions: Performance was largely maintained over four cycles of DNA strand displacement and rehybridization. By leveraging the modularity of DNA nanostructures, our work provides a straightforward route to the single-step quantification of arbitrary nucleic acids and proteins.
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