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利用傅里叶变换衰减全反射光谱法检测柑橘黄龙病。

Detection of citrus Huanglongbing by Fourier transform infrared-attenuated total reflection spectroscopy.

机构信息

US Department of Agriculture-Agricultural Research Service Russell Research Center, 950 College Station Rd, Athens, Georgia 30605, USA.

出版信息

Appl Spectrosc. 2010 Jan;64(1):100-3. doi: 10.1366/000370210790572043.

Abstract

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 >95% of the plants tested.

摘要

柑橘黄龙病(HLB,也称为柑橘绿病)于 2005 年在佛罗里达州发现,目前正在该州的柑橘种植区迅速蔓延。通过疾病的视觉症状进行检测并不可行。目前正在开发新的技术,以便在疾病的早期无症状阶段进行检测。傅里叶变换衰减全反射(FT-IR-ATR)光谱是一种快速、廉价、早期检测疾病的候选方法。与健康的非感染叶片相比,光谱的中红外区域显示出受感染叶片发生的剧烈变化。在 900-1180cm(-1) 范围内产生峰值的碳水化合物可可靠地区分感染植物与非感染植物的叶片。使用已知疾病状态的 179 株植物的光谱开发了基于化学计量学的模型。该模型随后正确预测了 >95%的测试植物的状态。

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