优化呼吸分析:定制分析方法和增强的工作流程,以更广泛地检测VOCs
Wisenave Arulvasan1, Julia Greenwood2, Madeleine L Ball2
1Owlstone Medical Ltd., Cambridge, UK. wisenave.arulvasan@owlstone.co.uk.
Metabolomics : Official journal of the Metabolomic Society
|January 20, 2025
概括
这项研究通过识别新的挥发性有机化合物 (VOCs) 来增强呼吸分析,使总数达到186. 改进的方法确保了对这些潜在的临床生物标志物的高可靠性检测.
科学领域:
- 生物医学分析分析
- 分析化学是一种分析化学.
- 发现生物标志物的发现.
背景情况:
- 呼吸中的挥发性有机化合物 (VOC) 是临床使用的有希望的生物标志物.
- 翻译VOC生物标志物需要强大的识别和验证协议.
- 之前的工作使用开发的收集和分析方法确定了148种呼吸传播的VOC.
研究的目的:
- 开发一种补充的分析方法,用于检测和识别呼吸中的额外的VOC.
- 通过使用统计指标 (标准偏差,t测试,ROC曲线) 升级识别"呼吸"特征的方法.
主要方法:
- 使用了热溶解气色谱-质谱法 (TD-GC-MS) 与PEG相柱.
- 通过分组,谱图库创建,保留索引和质量检查来加强VOC识别.
- 应用了三个统计指标来比较呼吸和背景样本以识别特征.
主要成果:
- 621个特征被统计确定为"呼吸"至少一个指标.
- 通过与化学标准进行比较,确定了38种在呼吸中的VOC.
- 经过呼吸确认的VOC总数增加到186个.
结论:
- 介绍了一种最新的方法,用于在呼吸中高可信度的VOC识别.
- 确定了一组新的常见的在呼吸中的VOCs.
- 显著扩大了已知的呼吸传播的VOC生物标志物的目录.
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