From leaf to lab-on-cloth: Spatial DNA nanorobotics and 2D graphyne synergy enable ultra-precise electrochemical tracking of sugarcane pokkah boeng disease

文献类型： 外文期刊

第一作者： Wu, Qingnian

作者： Wu, Qingnian;Jin, Chenchen;Zhao, Yinxia;Feng, Defen;Huang, Ke-Jing;Tan, Xuecai;Ya, Yu;Yan, Feiyan;Xie, Shengyu

作者机构：

关键词： Sugarcane pokkah boeng disease; S-GDY; Dual strand displacement amplification; Dual-signal readout; Spatial DNA nanorobotics

期刊名称：BIOSENSORS & BIOELECTRONICS （ 影响因子：10.5； 五年影响因子：10.1 ）

ISSN： 0956-5663

年卷期： 2025 年 283 卷

页码：

收录情况： SCI

摘要： As a vital cash crop and bioenergy feedstock, sugarcane plays a pivotal role in global agriculture and renewable energy systems. The emergence of pokkah boeng disease has become a critical threat to sugarcane productivity. Current diagnostic methods face challenges in field-applicable early detection due to time-consuming procedures and insufficient sensitivity. This study pioneers a "Lab-on-Cloth" electrochemical biosensor that synergizes DNA nanorobotics with 2D graphyne for ultra-precise detecting of pathogen. The biosensor integrates three synergistic innovation mechanisms: a spatially confined DNA Walker system enabling programmable strand displacement cascades upon target recognition, sulfur-doped graphyne (S-GDY) nanoarrays providing enhanced electron transfer efficiency and catalytic current density, and a dual-signal readout strategy for self-verifying detection accuracy. The biosensor fabrication involves in fixing of AuNPs/S-GDY heterostructures on flexible carbon cloth, creating a hierarchical 3D conductive network. Upon pathogen DNA binding, the DNA Walker initiates dual strand displacement amplification cycles, generating distinct current responses through potential-resolved signal decoupling. This dual-signal readout achieves an ultra-low limit of detection (16.6 aM, S/N = 3) with a dynamic range spanning six orders of magnitude (0.1 fM-10 nM), outperforming conventional qPCR in field tests. This spatial DNA nanorobotics-graphyne synergy establishes a new paradigm for plant disease monitoring, providing real-time phyto-diagnostic capabilities. The technology's cost-effectiveness and operational simplicity position it as a transformative tool for precision agriculture and sustainable bioenergy production.

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