PDF(Pubmed)
Abstract：
Wheat has played an important role in human agriculture since ancient times. Increasing rates of processed wheat product fabrication require more and more laboratory studies of product quality. This, in turn, requires the use, in production and in field conditions, of sufficiently accurate, fast and relatively low-cost quality control methods, including the detection of fungal diseases. One of the most widespread fungal diseases of wheat in the world is ergot caused by the fungi genus Claviceps. Optical methods are promising for this disease identification due to the relative ease of implementation and the possibility of performing fast analyses in large volumes. However, for application in practice, it is necessary to identify and substantiate characteristic spectral markers that make it possible to judge the sample contamination. In this regard, within the framework of this study, the methods of IR absorption spectroscopy in the MIR region and reflection spectroscopy in the UV-vis-NIR ranges, as well as luminescence spectroscopy, were used to study ergot-infected grains of winter wheat of the \"Moskovskaya 56\" cultivar. To justify the choice of the most specific spectral ranges, the methods of chemometric analysis with supervised classification, namely PCA-LDA and PCA-SVM, were applied. The possibility of separating infected grains according to the IR absorption, reflection spectra in the UV-vis-NIR ranges and visible luminescence spectra was tested.
摘要：
小麦自古以来就在人类农业中发挥着重要作用。加工小麦产品制造率的提高需要越来越多的产品质量实验室研究。这个,反过来,需要使用，在生产和现场条件下，足够准确，快速和相对低成本的质量控制方法，包括真菌疾病的检测。世界上最普遍的小麦真菌病之一是由真菌Claviceps属引起的麦角病。由于相对容易实施和在大体积中执行快速分析的可能性,光学方法对于这种疾病识别是有希望的。然而,在实践中应用，有必要识别和证实特征光谱标记，以便判断样品污染。在这方面,在这项研究的框架内，MIR区域的红外吸收光谱和UV-vis-NIR范围的反射光谱的方法，以及发光光谱，用于研究“Moskovskaya56”品种冬小麦的麦角感染谷物。为了证明选择最具体的光谱范围的合理性，具有监督分类的化学计量学分析方法，即PCA-LDA和PCA-SVM，被应用了。根据红外吸收分离受感染谷物的可能性，在UV-vis-NIR范围内的反射光谱和可见发光光谱进行了测试。
