Application of Fluorescence Spectroscopy in Wheat Crop: Early Disease Detection and Associated Molecular Changes

Application of Fluorescence Spectroscopy in Wheat Crop: Early Disease Detection and Associated Molecular Changes
复制标题

DOI:
10.1007/s10895-020-02561-8
复制
发表时间:
2020-05-19
影响因子:
2.7
通讯作者:
Fayyaz, Muhammad
Fayyaz, Muhammad
中科院分区:
化学4区
文献类型:
--
作者:
Atta, Babar Manzoor;Saleem, Muhammad;Fayyaz, Muhammad

文献摘要

被引文献

相似文献

探讨了荧光光谱法与化学计量学相结合在小麦条锈病检测中的应用。从病害筛选圃收集健康和条锈病叶片。叶片蓝绿色区域和叶绿素荧光强度的变化为条锈病的检测提供了依据。随着疾病的进展,同步荧光光谱(SFS)光谱的变化是有目共睹的。SFS是同时测量多个化合物样品的优秀工具,在植物的情况下,它产生关于叶片荧光团条带的出现的证据,从而揭示在不同感染阶段发生的生化变化。根据目前的研究结果,可以推断,p-香豆酸在健康样品中具有最高的强度,其次是无症状的叶样品,而α-生育酚,芥子酸,绿原酸,阿魏酸,单宁,类黄酮,类胡萝卜素和花青素的带强度增加,相应的锈病感染和无症状的样品。主成分分析(PCA)漂亮区分健康和受感染的叶片样品。很明显,无症状样本与患病样本分组或独立;表明疾病感染的开始,这是很难用视觉评估做出的决定。目前的研究结果表明,荧光发射和SFS光谱特征获得的条锈病可以作为指纹的早期疾病检测。
The application of fluorescence spectroscopy combined with chemometrics was explored in the current study for the detection of stripe rust in wheat. The healthy and stripe rust leaves were collected from the disease screening nursery. The variations in the blue-green region and chlorophyll fluorescence intensity in leaves provides the basis for the detection of stripe rust infection. With the progress of disease, the variations in the synchronous fluorescence spectroscopy (SFS) spectrum was witnessed. SFS is an excellent tool for the simultaneous measurement of multiple compound samples, in case of plants it generates evidence regarding the occurrence of leaf fluorophore bands thus revealing the biochemical variations going on at different infection stages. Based on the results of the current study, it is inferred that p-coumaric acid has the highest intensity in healthy samples followed by the asymptomatic leaf samples, whereas the band intensity of alpha-tocopherol, sinapic acid, chlorogenic acid, ferulic acid, tannins, flavonoid, carotenoids and anthocyanins increases in the diseased and the asymptomatic samples accordingly to the rust infection. Principal component analysis (PCA) beautifully differentiated the healthy and the infected leaf samples. It is evident that the asymptomatic samples are grouped with the diseased samples or independently; indicating the start of disease infection, the decision that is hard to make with the visual assessments. The results of the current study suggest that the fluorescence emission and the SFS spectral signatures acquired for stripe rust could be utilized as fingerprints for early disease detection.