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基于适配体的微流控分析法用于现场检测感染水杨酸的草莓。

Aptamer-Based Microfluidic Assay for In-Field Detection of Salicylic Acid in -Infected Strawberries.

作者信息

Domingues Cristiana, Rosa Rafaela R, Rodrigues Rodolfo G, Fortes Ana Margarida, Chu Virginia, Conde João Pedro

机构信息

Instituto de Engenharia de Sistemas e Computadores-Microsistemas e Nanotecnologias (INESC-MN), Rua Alves Redol, 1000-029 Lisbon, Portugal.

Instituto de Biossistemas e Ciências Integrativas (BioISI), Faculdade de Ciências de Lisboa, Universidade de Lisboa, 1749-016 Lisbon, Portugal.

出版信息

Biosensors (Basel). 2025 Apr 22;15(5):266. doi: 10.3390/bios15050266.

Abstract

Rapid detection of plant infections is crucial for minimising crop loss and optimising management strategies, particularly in the context of climate change. While traditional diagnostic methods provide precise measurements of phytohormones such as salicylic acid (SA), a key regulator of plant defence responses, their reliance on bulky equipment and lengthy analysis times limits field applicability. This study presents a microfluidic-based aptamer assay for SA detection, enabling rapid and sensitive fluorescence-based readout from plant samples. A tailored sample pre-treatment protocol was developed and validated with real strawberry samples using HPLC measurements. The assay demonstrated a detection limit ranging from 10 to 10 mg/mL, within the relevant range for early infection diagnosis. The integration of the microfluidic platform with the optimised pre-treatment protocol offers a portable, cost-effective solution for on-site phytohormone analysis, providing a valuable tool for early infection detection and improved crop management.

摘要

快速检测植物感染对于最大限度减少作物损失和优化管理策略至关重要,特别是在气候变化的背景下。虽然传统诊断方法能精确测量植物防御反应的关键调节因子如水杨酸(SA)等植物激素,但它们依赖笨重的设备且分析时间长,限制了其在田间的适用性。本研究提出了一种基于微流控的SA检测适体分析方法,能够从植物样品中实现基于荧光的快速灵敏读数。开发了一种定制的样品预处理方案,并使用高效液相色谱测量对真实草莓样品进行了验证。该分析方法的检测限在10至10毫克/毫升之间,处于早期感染诊断的相关范围内。微流控平台与优化的预处理方案相结合,为现场植物激素分析提供了一种便携、经济高效的解决方案,为早期感染检测和改善作物管理提供了有价值的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23be/12109390/fc24206f0955/biosensors-15-00266-g001.jpg

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