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首页> 外文期刊>Applied Spectroscopy: Society for Applied Spectroscopy >Detection of Citrus Huanglongbing by Fourier Transform Infrared-Attenuated Total Reflection Spectroscopy
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Detection of Citrus Huanglongbing by Fourier Transform Infrared-Attenuated Total Reflection Spectroscopy

机译:傅里叶变换红外衰减全反射光谱法检测柑橘黄龙病

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摘要

Citrus Huanglongbing (HLB, also known as citrus greening disease) was discovered in Florida in 2005 and is spreading rapidly amongst the citrus growing regions of the state. Detection via visual symptoms of the disease is not a long-term viable option. New techniques are being developed to test for the disease in its earlier presymptomatic stages. Fourier transform infrared-attenuated total reflection (FT-IR-ATR) spectroscopy is a candidate for rapid, inexpensive, early detection of the disease. The mid-infrared region of the spectrum reveals dramatic changes that take place in the infected leaves when compared to healthy non-infected leaves. The carbohydrates that give rise to peaks in the 900-1180 cm~(-1) range are reliable in distinguishing leaves from infected plants versus non-infected plants. A model based on chemometrics was developed using the spectra from 179 plants of known disease status. This model then correctly predicted the status of >95percent of the plants tested.
机译:柑橘黄龙病(HLB,又称柑橘绿化病)于2005年在佛罗里达州发现,并在该州的柑橘生长地区中迅速传播。通过疾病的视觉症状进行检测不是长期可行的选择。正在开发新技术来测试疾病的症状早期。傅里叶变换红外衰减全反射(FT-IR-ATR)光谱仪是快速,廉价,早期发现疾病的候选方法。与健康的未感染叶片相比,光谱的中红外区域显示出感染叶片中发生了巨大变化。在900-1180 cm〜(-1)范围内产生峰的碳水化合物可以可靠地区分叶片与受感染植物与未受感染植物。使用来自179种已知疾病状态植物的光谱,开发了基于化学计量学的模型。然后,该模型可以正确预测> 95%的受试植物的状态。

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