Dwivedi Prabha, Schultz Albert J, Hill Herbert H
Washington State University, Pullman, WA, 99163 USA.
Int J Mass Spectrom. 2010 Dec;298(1-3):78-90. doi: 10.1016/j.ijms.2010.02.007.
A high resolution ion mobility time-of-flight mass spectrometer with electrospray ionization source (ESI-IM-MS) was evaluated as an analytical method for rapid analysis of complex biological samples such as human blood metabolome was investigated. The hybrid instrument (IM-MS) provided an average ion mobility resolving power of ~90 and a mass resolution of ~1500 (at m/z 100). A few µL of whole blood was extracted with methanol, centrifuged and infused into the IM-MS via an electrospray ionization source. Upon IM-MS profiling of the human blood metabolome approximately 1,100 metabolite ions were detected and 300 isomeric metabolites separated in short analyses time (30 minutes). Estimated concentration of the metabolites ranged from the low micromolar to the low nanomolar level. Various classes of metabolites (amino acids, organic acids, fatty acids, carbohydrates, purines and pyrimidines etc) were found to form characteristic mobility-mass correlation curves (MMCC) that aided in metabolite identification. Peaks corresponding to various sterol derivatives, estrogen derivatives, phosphocholines, prostaglandins, and cholesterol derivatives detected in the blood extract were found to occupy characteristic two dimensional IM-MS space. Low abundance metabolite peaks that can be lost in MS random noise were resolved from noise peaks by differentiation in mobility space. In addition, the peak capacity of MS increased six fold by coupling IMS prior to MS analysis.
对一台配备电喷雾电离源的高分辨率离子淌度飞行时间质谱仪(ESI-IM-MS)作为快速分析复杂生物样品(如人体血液代谢组)的分析方法进行了评估。该混合仪器(IM-MS)的平均离子淌度分辨能力约为90,质量分辨率约为1500(在m/z 100时)。取几微升全血用甲醇提取,离心后通过电喷雾电离源注入IM-MS。在对人体血液代谢组进行IM-MS分析时,在短分析时间(30分钟)内检测到约1100个代谢物离子,并分离出300个同分异构代谢物。代谢物的估计浓度范围从低微摩尔到低纳摩尔水平。发现各类代谢物(氨基酸、有机酸、脂肪酸、碳水化合物、嘌呤和嘧啶等)形成特征性的淌度-质量相关曲线(MMCC),有助于代谢物鉴定。在血液提取物中检测到的对应于各种甾醇衍生物、雌激素衍生物、磷酸胆碱、前列腺素和胆固醇衍生物的峰,占据特征性的二维IM-MS空间。通过在淌度空间中的区分,可从噪声峰中分辨出可能在MS随机噪声中丢失的低丰度代谢物峰。此外,在MS分析之前耦合IMS,MS的峰容量增加了六倍。