4.8 Article

Dynamically multiplexed ion mobility time-of-flight mass spectrometry

期刊

ANALYTICAL CHEMISTRY
卷 80, 期 15, 页码 5873-5883

出版社

AMER CHEMICAL SOC
DOI: 10.1021/ac8003665

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资金

  1. NCI NIH HHS [R21 CA126191, R33 CA126191, R21 CA12619101, R21 CA126191-01, R33 CA126191-02] Funding Source: Medline
  2. NCRR NIH HHS [P41 RR018522-05, RR18522, P41 RR018522-06, P41 RR018522] Funding Source: Medline

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Ion mobility spectrometry-time-of-flight mass spectrometry (IMS-TOFMS) has been increasingly used in analysis of complex biological samples. A major challenge is to transform IMS-TOFMS to a high-sensitivity, high-throughput platform, for example, for proteomics applications. In this work, we have developed and integrated three advanced technologies, including efficient ion accumulation in an ion funnel trap prior to IMS separation, multiplexing (MP) of ion packet introduction into the IMS drift tube, and signal detection with an analog-to-digital converter, into the IMS-TOFMS system for the high-throughput analysis of highly complex proteolytic digests of, for example, blood plasma. To better address variable sample complexity, we have developed and rigorously evaluated a novel dynamic MP approach that ensures correlation of the analyzer performance with an ion source function and provides the improved dynamic range and sensitivity throughout the experiment. The MP IMS-TOFMS instrument has been shown to reliably detect peptides at a concentration of 1 nM in the presence of a highly complex matrix, as well as to provide a 3 orders of magnitude dynamic range and a mass measurement accuracy of better than 5 ppm. When matched against human blood plasma database, the detected IMS-TOF features were found to yield similar to 700 unique peptide identifications at a false discovery rate (FDR) of similar to 7.5%. Accounting for IMS information gave rise to a projected FDR of similar to 4%. Signal reproducibility was found to be greater than 80%, while the variations in the number of unique peptide identifications were < 15%. A single sample analysis was completed in 15 min that constitutes almost 1 order of magnitude improvement compared to a more conventional LC-MS approach.

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