Harry Emma L, Weston Daniel J, Bristow Anthony W T, Wilson Ian D, Creaser Colin S
Department of Chemistry, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.
J Chromatogr B Analyt Technol Biomed Life Sci. 2008 Aug 15;871(2):357-61. doi: 10.1016/j.jchromb.2008.04.043. Epub 2008 May 8.
The potential of drift tube ion mobility (IM) spectrometry in combination with high performance liquid chromatography (LC) and mass spectrometry (MS) for the metabonomic analysis of rat urine is reported. The combined LC-IM-MS approach using quadrupole/time-of-flight mass spectrometry with electrospray ionisation, uses gas-phase analyte characterisation based on both mass-to-charge (m/z) ratio and relative gas-phase mobility (drift time) following LC separation. The technique allowed the acquisition of nested data sets, with mass spectra acquired at regular intervals (65 micros) during each IMS separation (approximately 13 ms) and several IMS spectra acquired during the elution of a single LC peak, without increasing the overall analysis time compared to LC-MS. Preliminary results indicate that spectral quality is improved when using LC-IM-MS, compared to direct injection IM-MS, for which significant ion suppression effects were observed in the electrospray ion source. The use of reversed-phase LC employing fast gradient elution reduced sample preparation to a minimum, whilst maintaining the potential for high throughput analysis. Data mining allowed information on specific analytes to be extracted from the complex metabonomic data set. LC-IM-MS based approaches may have a useful role in metabonomic analyses by introducing an additional discriminatory dimension of ion mobility (drift time).
本文报道了漂移管离子淌度(IM)光谱法与高效液相色谱(LC)和质谱(MS)联用在大鼠尿液代谢组学分析中的应用潜力。采用电喷雾电离的四极杆/飞行时间质谱的LC-IM-MS联用方法,在LC分离后,基于质荷比(m/z)和相对气相淌度(漂移时间)对气相分析物进行表征。该技术能够获取嵌套数据集,在每次IMS分离(约13毫秒)期间以固定间隔(65微秒)采集质谱,并且在单个LC峰洗脱期间采集多个IMS谱图,与LC-MS相比,并未增加整体分析时间。初步结果表明,与直接进样IM-MS相比,使用LC-IM-MS时光谱质量有所提高,在电喷雾离子源中,直接进样IM-MS观察到了显著的离子抑制效应。采用快速梯度洗脱的反相LC将样品制备降至最低限度,同时保持了高通量分析的潜力。数据挖掘能够从复杂的代谢组学数据集中提取特定分析物的信息。基于LC-IM-MS的方法通过引入离子淌度(漂移时间)这一额外的鉴别维度,可能在代谢组学分析中发挥有益作用。