An optical detector for latent fungal infection in produce

用于农产品中潜在真菌感染的光学检测器

• 批准号: BB/X003744/1
• 负责人: Adrian Podoleanu
• 金额: $ 23.52万
• 依托单位: University of Kent
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FX003744%2F1
• 关键词: optical; detector; latent; fungal; infection

Food waste is a major problem, with huge environmental and economic impact. A significant cause of waste are fungal infections. Ideally, fruit that has been infected should be removed from storage as soon as possible to prevent spread of the infection and potentially the loss of the entire store. However, fungal infections are often latent in their early stages, meaning they are inactive ion or just below the surface and cannot be detected at an early stage, e.g. before the fruit is stored. These latent infection can quickly progress during the storage, infection spreading to the neighbouring produce causing significant losses. If there was a reliable method to detect this latent infection, there is potential to significantly reduce wastage.High-resolution optical imaging methods have shown huge promise in medicine as a means of detecting disease, often at an early stage. There is therefore an obvious potential to translate this technology to agriculture. In particular, optical coherence tomography allows 3D images to be acquired in timescales of around a second, penetrating 1-2 mm into tissue. It provides structural information down to a resolution of less than 10 microns (0.01 mm) without the need for destructive sampling, staining or preparation of the sample in any way. However, while OCT has shown some promise for imaging plants and fruit for some applications, the simple structural information it provides may not provide reliable detection of the subtle changes associated with latent fungal infection.In this project we will investigate and demonstrate a new approach for early detection of fungal infection in fruits. We will bring together the expertise in the design and development of optical imaging systems at the Applied Optics Group, University of Kent, with the horticulture and plant pathology expertise of the Pest and Pathogen Ecology team at NIAB EMR. We will develop a new imaging device designed for the detection of latent, early stage fungus infection and test it using cherry samples known to be carrying the fungus Monilinia laxa.The physical principles of the device will be similar in its elementary structure to the conventional OCT, using a combination of a laser-scanning probe head, a broadband optical source and a fast spectrometer to allow fast 3D imaging. However, unlike in conventional OCT, which provides a static snapshot of the structure of the sample, new investigative modalities will be harnessed based on recent developments in the OCT field for biomedical diagnosis. These will be implemented to perform a more subtle analysis of fruit samples, based on acquiring multiple forms of functional or dynamic information, including looking at how the microstructure of the sample responds to an external mechanical stimulus, and measuring both the magnitude and the frequency of intrinsic fluctuations on the scale of cellular components. These three techniques, known as optical coherence elastography (OCE), speckle variance (SV), and the newly emerging dynamic OCT (DyOCT) will be implemented in a single device, allowing the fruit to be comprehensively evaluated.The sensitivity and accuracy of the optical tools (OCT, OCE, SV, DyOCT) will be benchmarked using destructive methods such as isolation of live pathogen, localisation using fluorescent microscopy and quantification of fungal biomass with quantitative PCR.

食物浪费是一个重大问题，对环境和经济产生巨大影响。浪费的一个重要原因是真菌感染。理想情况下，应尽快将已感染的水果从仓库中取出，以防止感染扩散并可能造成整个商店的损失。然而，真菌感染通常在早期阶段是潜伏的，这意味着它们是不活跃的离子或位于表面下方，无法在早期阶段检测到。水果储存前。这些潜在的感染会在储存过程中迅速进展，感染扩散到邻近的产品，造成重大损失。如果有一种可靠的方法来检测这种潜在感染，就有可能显着减少浪费。高分辨率光学成像方法在医学上作为一种检测疾病的手段（通常是在早期阶段）显示出巨大的前景。因此，将这项技术转化为农业的潜力显而易见。特别是，光学相干断层扫描可以在一秒左右的时间尺度内采集 3D 图像，穿透组织 1-2 毫米。它提供分辨率小于 10 微米（0.01 毫米）的结构信息，无需以任何方式进行破坏性采样、染色或制备样品。然而，虽然 OCT 在某些应用中对植物和水果成像显示出一些前景，但它提供的简单结构信息可能无法可靠地检测与潜在真菌感染相关的细微变化。在这个项目中，我们将研究并演示一种新方法及早发现水果中的真菌感染。我们将汇集肯特大学应用光学组光学成像系统设计和开发方面的专业知识以及 NIAB EMR 害虫和病原体生态学团队的园艺和植物病理学专业知识。我们将开发一种新的成像设备，设计用于检测潜在的早期真菌感染，并使用已知携带真菌 Monilinia laxa 的樱桃样本进行测试。该设备的物理原理在基本结构上将与传统 OCT 类似，结合使用激光扫描探头、宽带光源和快速光谱仪，可实现快速 3D 成像。然而，与提供样本结构静态快照的传统 OCT 不同，我们将根据 OCT 领域的最新发展来利用新的研究模式进行生物医学诊断。这些将基于获取多种形式的功能或动态信息，对水果样品进行更精细的分析，包括观察样品的微观结构如何响应外部机械刺激，并测量机械刺激的幅度和频率。细胞成分规模的内在波动。这三种技术，即光学相干弹性成像（OCE）、散斑方差（SV）和新兴的动态OCT（DyOCT）将在单个设备中实现，从而可以对水果进行全面评估。光学工具（OCT、OCE、SV、DyOCT）将使用破坏性方法进行基准测试，例如分离活病原体、使用荧光显微镜定位以及使用定量 PCR 定量真菌生物量。