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首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >Evaluation of the effects of Candidatus Liberibacter asiaticus on inoculated citrus plants using laser-induced breakdown spectroscopy (LIBS) and chemometrics tools
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Evaluation of the effects of Candidatus Liberibacter asiaticus on inoculated citrus plants using laser-induced breakdown spectroscopy (LIBS) and chemometrics tools

机译:使用激光诱导击穿光谱法(LIBS)和化学计量学工具评估亚洲假丝酵母对接种的柑橘类植物的影响

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This study investigated the organic and inorganic constituents of healthy leaves and Candidatus Liberibacter asiaticus (CLas)-inoculated leaves of citrus plants. The bacteria CLas are one of the causal agents of citrus greening (or Huanglongbing) and its effect on citrus leaves was investigated using laser-induced breakdown spectroscopy (LIBS) combined with chemometrics. The information obtained from the LIBS spectra profiles with chemometrics analysis was promising for the construction of predictive models to identify healthy and infected plants. The major, macro- and microconstituents were relevant for differentiation of the sample conditions. The models were then applied to different inoculation times (from 1 to 8 months). The models were effective in the classification of 82-97% of the diseased samples with a 95% significance level. The novelty of this method was in the fingerprinting of healthy and diseased plants based on their organic and inorganic contents.
机译:这项研究调查了健康的叶子和柑橘类植物的健康叶子和亚洲念珠菌(CLas)接种的叶子的有机和无机成分。 CLas细菌是柑橘绿化(或黄龙病)的病原体之一,结合激光诱导击穿光谱法(LIBS)和化学计量学研究了其对柑橘叶片的影响。通过化学计量学分析从LIBS光谱图获得的信息有望用于构建识别健康和感染植物的预测模型。主要成分,大分子成分和微成分与样品条件的区分有关。然后将模型应用于不同的接种时间(1到8个月)。该模型可有效分类82%至97%的患病样本,显着性水平为95%。该方法的新颖之处在于可以根据健康和患病植物的有机和无机含量对其进行指纹识别。

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