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利用光声技术通过细菌色素沉着对种传病原体进行无损检测。

Exploiting Bacterial Pigmentation for Non-Destructive Detection of Seed-Borne Pathogens by Using Photoacoustic Techniques.

作者信息

Cavigli Lucia, Gaudioso Dario, Faraloni Cecilia, Agati Giovanni, Tegli Stefania

机构信息

Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata "Nello Carrara", Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.

Dipartimento di Scienze e Tecnologie Agrarie, Alimentari Ambientali e Forestali, Laboratorio di Patologia Vegetale Molecolare, Università degli Studi di Firenze, Via della Lastruccia 10, 50019 Sesto Fiorentino, Italy.

出版信息

Sensors (Basel). 2024 Nov 28;24(23):7616. doi: 10.3390/s24237616.

Abstract

Seed-borne pathogens pose a significant threat to global food security. This study focuses on pv. (), a quarantine plant pathogen causing bacterial wilt of common beans. Despite its global spread and economic impact, effective control measures are limited. Existing diagnostic methods, such as PCR, are time-consuming, destructive, and challenging for large-scale screening. This study explores the potential of photoacoustic techniques as a non-destructive, rapid, and high-throughput alternative. These techniques leverage the photoacoustic effect to measure optical absorption, offering high sensitivity and accuracy. colonies exhibit distinct pigmentation, suggesting their suitability for photoacoustic detection. We characterised the optical properties of and developed an in vitro model to simulate conditions within -infected bean seeds. The results demonstrate the efficiency of the photoacoustic technique in detecting in a mimicked-bean seed and indicate the potential discrimination of different coloured strains. This study paves the way for a novel, non-invasive approach to the early detection of and other seed-borne pathogens, contributing to improve crop health and food security.

摘要

种传病原体对全球粮食安全构成重大威胁。本研究聚焦于()致病变种,这是一种导致普通菜豆细菌性萎蔫病的检疫性植物病原体。尽管其在全球范围内传播并造成经济影响,但有效的控制措施却很有限。现有的诊断方法,如聚合酶链式反应(PCR),耗时、具有破坏性,且难以用于大规模筛查。本研究探索了光声技术作为一种无损、快速且高通量替代方法的潜力。这些技术利用光声效应来测量光吸收,具有高灵敏度和准确性。菌落呈现出明显的色素沉着,表明它们适合光声检测。我们对()的光学特性进行了表征,并建立了一个体外模型来模拟()感染菜豆种子内部的条件。结果证明了光声技术在模拟菜豆种子中检测()的效率,并表明有可能区分不同颜色的()菌株。本研究为一种新型的、非侵入性的早期检测()及其他种传病原体的方法铺平了道路,有助于改善作物健康状况和粮食安全。

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