非侵入式拉曼光谱法用于检测大米细菌叶病和细菌叶条纹
Xuehan Ji1, Junjing Xue2, Jiancheng Shi1
1State Key Laboratory of Agrobiotechnology and MOA Key Laboratory for Monitoring and Green Management of Crop Pests, China Agricultural University, Beijing, 100193, China.
Talanta
|September 28, 2024
概括
拉曼光谱 (RS) 与人工智能相结合,可以准确检测米细菌病原体,如Xanthomonas oryzae pv. 奥里扎 (Xoo) 和克桑托莫纳斯奥里扎 (Xanthomonas oryzae pv.) 的植物. 奥里兹科拉 (Xoc). 这种快速,非破坏性的方法为在田间及单细胞分析中早期发现疾病提供了高准确度.
科学领域:
- 农业科学 农业科学
- 植物病理学 植物病理学
- 频谱学是一种光谱学.
背景情况:
- 植物病导致农业产量大幅下降,需要快速检测病原体.
- 传统的方法往往是缓慢或破坏性的,限制了及时的干预.
- 拉曼光谱 (RS) 为生物样本分析提供了一个快速,灵敏和非破坏性的替代方案.
研究的目的:
- 开发和验证一种基于拉曼光谱的方法,用于检测两个密切相关的细菌菌株,Xanthomonas oryzae pv. 奥里扎 (Xoo) 和克桑托莫纳斯奥里扎 (Xanthomonas oryzae pv.) 的植物. 里兹科拉 (Xoc),在米叶中.
- 在实验室和现场环境中评估该技术的准确性,包括早期疾病阶段.
主要方法:
- 激光 tweezers 拉曼光谱法 (LTRS) 与卷积神经网络 (CNN) 结合,用于分析细菌排泄物.
- 一个便携式拉曼光谱仪被用于现场检测各种疾病阶段感染的叶.
主要成果:
- 与CNN相结合的LTRS在区分Xoo和Xoc菌株方面实现了97.5%的准确性.
- 便携式拉曼光谱仪在早期检测大米中的细菌叶病和线时显示出87.02%的准确性,甚至在明显症状出现之前.
- 确定了光谱差异,为感染的分子机制提供了洞察力.
结论:
- 拉曼光谱是一种非常有前途的技术,用于早期和准确地检测大米中的细菌疾病.
- 这种方法既支持基于现场的诊断,也支持在单细胞水平上对植物病原体相互作用的详细实验室分析.
相关概念视频
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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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