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首页> 外文期刊>Journal of the Science of Food and Agriculture >Air analysis in the assessment of fumonisin contamination risk in maize
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Air analysis in the assessment of fumonisin contamination risk in maize

机译：空气分析法评估玉米中伏马毒素的污染风险

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BACKGROUND: In maize-growing areas where fumonisin contamination is endemic, there is an urgent need for novel methods to assess the quality of grain lots before their delivery to common drying and storage collection centres. Aerobiological samples of fungal spores released during harvest were analysed to establish a relationship between fumonisin contamination and the abundance of pathogen propagules collected in the combine harvester using a cyclone and membrane filters. Filter-captured propagules were analysed by direct plating, immunoenzymatic assay of specific Fusarium extracellular polysaccharides and real time polymerase chain reaction of the extracted DNA using fum1, a gene involved in the biosynthesis of fumonisin, as a target.RESULTS: The results showed that time of harvest and environmental conditions strongly influenced the efficiency and performance of the collection system. The data obtained were informative in comparing individual samples collected under similar conditions. The immunoenzymatic assay provided the most reliable data, which improved the ability of a neural network to predict the fumonisin content of lots, when added to agronomic, environmental and phytosanitary data.CONCLUSION: This is the first attempt to evaluate the Fusarium propagules dispersed during harvesting as a predictive means to assess maize quality. A method based on cyclone/filter capture and immunological detection has been shown to be feasible and to have the potential for the development of a continuous monitoring system, but the prediction capabilities in the present implementation were limited. Copyright
机译：背景：在伏马菌素污染流行的玉米种植地区，迫切需要一种新颖的方法来评估谷物批次的质量，然后再将其运送到常见的干燥和储存收集中心。分析了收获期间释放的真菌孢子的航空生物学样品，以建立伏马菌素污染与使用旋风分离器和膜滤器在联合收割机中收集的病原体繁殖量之间的关系。通过直接铺板，特异镰刀菌胞外多糖的免疫酶分析和提取的DNA的实时聚合酶链反应，以涉及伏马菌素生物合成的基因fum1为靶标，对捕获的繁殖体进行了分析。结果：结果表明，时间收成和环境条件的严重影响收集系统的效率和性能。获得的数据有助于比较在相似条件下收集的单个样品。当添加到农艺，环境和植物检疫数据中时，免疫酶分析法可提供最可靠的数据，从而提高了神经网络预测批次中伏马毒素含量的能力。结论：这是首次评估收获期间分散的镰刀菌繁殖体作为评估玉米质量的预测手段。基于旋风除尘器/过滤器捕获和免疫学检测的方法已被证明是可行的，并且具有开发连续监测系统的潜力，但是目前实施中的预测能力受到限制。版权

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