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利用拉曼光谱技术检测白菜芜菁黄花叶病毒(TYMV)感染的可行性研究。

Feasibility Study for Detection of Turnip yellow mosaic virus (TYMV) Infection of Chinese Cabbage Plants Using Raman Spectroscopy.

机构信息

Department of Chemistry, Hanyang University, Seoul 133-791, Korea.

Smarteome. Co., Ltd., Suwon 441-853, Korea.

出版信息

Plant Pathol J. 2013 Mar;29(1):105-9. doi: 10.5423/PPJ.NT.09.2012.0147.

Abstract

Raman spectroscopy provides many advantages compared to other common analytical techniques due to its ability of rapid and accurate identification of unknown specimens as well as simple sample preparation. Here, we described potential of Raman spectroscopic technique as an efficient and high throughput method to detect plants infected by economically important viruses. To enhance the detection sensitivity of Raman measurement, surface enhanced Raman scattering (SERS) was employed. Spectra of extracts from healthy and Turnip yellow mosaic virus (TYMV) infected Chinese cabbage leaves were collected by mixing with gold (Au) nanoparticles. Our result showed that TYMV infected plants could be discriminated from non-infected healthy plants, suggesting the current method described here would be an alternative potential tool to screen virus-infection of plants in fields although it needs more studies to generalize the technique.

摘要

拉曼光谱分析技术与其他常见的分析技术相比具有许多优势,因为它能够快速、准确地识别未知样本,并且样品制备过程简单。在这里,我们描述了拉曼光谱分析技术作为一种有效且高通量的方法在检测受经济上重要病毒感染的植物方面的潜力。为了提高拉曼测量的检测灵敏度,我们采用了表面增强拉曼散射(SERS)技术。通过将金(Au)纳米粒子与提取物混合,我们收集了来自健康和芜菁黄花叶病毒(TYMV)感染的白菜叶片的光谱。我们的结果表明,可以将 TYMV 感染的植物与未感染的健康植物区分开来,这表明尽管需要更多的研究来推广该技术,但这里描述的当前方法将是一种替代的潜在工具,用于筛选田间植物的病毒感染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6185/4174782/dabb3e1596d3/ppj-29-105f1.jpg

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