arXiv:2506.15728q-bio.QMcs.CV2025-06被引 5

用微针采样+手机读数,1分钟检测马铃薯晚疫病早期感染

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage

  • 微针贴片1分钟采样,DNA提取效率达56微克/毫克
  • 检测限低至2皮克/微升,可提前3-4天发现病害
  • 全程手机操作,适合田间快速诊断

马铃薯晚疫病由致病疫霉引起,是历史上最严重的马铃薯病害之一。传统检测方法如PCR和LAMP虽灵敏度高,但依赖大型昂贵设备且操作复杂,难以用于现场即时诊断。本研究开发了一种便携式RPA-CRISPR-Cas12a检测系统,集成智能手机进行荧光图像采集与分析。采用聚乙烯醇(PVA)微针贴片在1分钟内完成植株叶片采样,DNA提取效率达56 μg/mg,约为传统CTAB法(18 μg/mg)的3倍。RPA-CRISPR-Cas12a恒温检测系统特异性靶向致病疫霉,对近缘物种(P. sojae、P. capsici)无交叉反应。检测限为2 pg/μL,灵敏度媲美实验室设备。系统可在接种后第3天和第4天分别实现约80%和100%的检出率,早于叶片出现可见症状。该手机驱动的“样本到结果”系统突破了传统方法对专业设备的依赖,为田间早期植物病害检测与防控提供了可行方案。

原文摘要 · Abstract (English)

Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional detection methods of plant diseases such as PCR and LAMP are highly sensitive and specific, they rely on bulky and expensive laboratory equipment and involve complex operations, making them impracticable for point-of care diagnosis in the field. Here in this study, we report a portable RPA-CRISPR based diagnosis system for plant disease, integrating smartphone for acquisition and analysis of fluorescent images. A polyvinyl alcohol (PVA) microneedle patch was employed for sample extraction on the plant leaves within one minute, the DNA extraction efficiency achieved 56 ug/mg, which is approximately 3 times to the traditional CTAB methods (18 ug/mg). The system of RPA-CRISPR-Cas12a isothermal assay was established to specifically target P. infestans with no cross-reactivity observed against closely-related species (P. sojae, P. capsici). The system demonstrated a detection limit of 2 pg/uL for P. infestans genomic DNA, offering sensitivity comparable to that of benchtop laboratory equipment. The system demonstrates the early-stage diagnosis capability by achieving a approximately 80% and 100% detection rate on the third and fourth day post-inoculation respectively, before visible symptoms observed on the leaves. The smartphone-based "sample-to-result" system decouples the limitations of traditional methods that rely heavily on specialized equipment, offering a promising way for early-stage plant disease detection and control in the field.

植物病害检测CRISPR便携诊断微针采样

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