双列染色学与高分辨率质谱学相结合,提高了植物根排泄物非向分析的覆盖范围
Alexandra A Bennett1, Teresa Steininger-Mairinger1, Çağla Görkem Eroğlu2
1BOKU University, Department of Chemistry, Institute of Analytical Chemistry, 1190, Vienna, Austria.
Analytica chimica acta
|September 12, 2024
概括
在植物根排泄物中优化天然产品发现工作流程涉及甲醇提取和双列染色学. 开源软件在非目标分析中有效地识别出新型化合物.
科学领域:
- 自然产品的发现自然产品的发现
- 分析化学 分析化学
- 植物科学 植物科学
背景情况:
- 植物王国表现出巨大的,未经注释的化学多样性,引发了对新型自然产品发现的兴趣.
- 对植物根排泄物的非向分析对于识别新化合物至关重要.
- 优化提取,色谱和数据处理工作流程可以提高化合物检测.
研究的目的:
- 为了比较不同的工作流程来分析植物根排泄物提取物.
- 增加根排泄物中可检测化合物的数量和多样性.
- 评估提取,色谱和数据预处理对非目标分析的影响.
主要方法:
- 在24小时的再生期后,用水和随后的甲醇提取根液.
- 使用高分辨率质谱法比较了单列 (五二) 和双列 (五二和多孔石墨碳) 染色学方法.
- 评估了三种数据预处理方法 (定向,专有和开源) 用于化合物识别.
主要成果:
- 与水提取相比,甲醇提取改善了结果,减少了离子抑制和保留时间的变化.
- 双列方法发现的化合物 (43) 比单列方法 (34) 更多,特别是小极性代谢物.
- 开源预处理软件识别了38种化合物,在峰值采集方面表现优于专有软件 (31).
结论:
- 在采样前去除高离子强度营养溶液可以提高分析方法的稳定性.
- 双列染色学增加了化合物覆盖范围,特别是对于小极性代谢物,尽管潜在的信号损失.
- 开源软件是天然产品发现中非目标分析的可行和有效替代方案.
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