2019
DOI: 10.1007/978-1-0716-0030-6_3
|View full text |Cite
|
Sign up to set email alerts
|

Untargeted Differential Metabolomics Analysis Using Drift Tube Ion Mobility-Mass Spectrometry

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(11 citation statements)
references
References 11 publications
0
10
0
Order By: Relevance
“…For sake of comparison with gold standard in feature annotation in metabolomics, collisional cross section are among the most reproducible parameters with interlaboratory variation in the range of 2% 36,41,53 and 5% and are usually the threshold for identification confirmation. 6,54 Although HILIC is a powerful method to separate polar compounds, deviation of the retention time up to 10% to in-house databases are usually considered for feature annotation. 6 As a first approach, we propose that such a scoring system can be based on different ranges of bias between μ eff measurements and μ eff values in databases (Table 1).…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…For sake of comparison with gold standard in feature annotation in metabolomics, collisional cross section are among the most reproducible parameters with interlaboratory variation in the range of 2% 36,41,53 and 5% and are usually the threshold for identification confirmation. 6,54 Although HILIC is a powerful method to separate polar compounds, deviation of the retention time up to 10% to in-house databases are usually considered for feature annotation. 6 As a first approach, we propose that such a scoring system can be based on different ranges of bias between μ eff measurements and μ eff values in databases (Table 1).…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…All spectra were acquired using a pseudorandom 4-bit multiplexing sequence (“multiplexed mode”), which has been described in detail previously. Briefly, ion packets are sequentially gated into the drift tube at predetermined intervals and traverse the region as normal (e.g., eight packets are injected during one scan interval). The overlapping spectra are deconvoluted and combined postacquisition based on the pseudorandom gate timing using the PNNL PreProcessor software package (v.2021.04.21) developed at Pacific Northwest National Lab (PNNL, ) .…”
Section: Experimental Sectionmentioning
confidence: 99%
“…The addition of metal ions such as copper and zinc to the sample resulted in complexes that had differentiated mobilities and, thus, were separable by DTIMS [83]. Ion mobility has also shown to be an interesting option for the analysis of metabolites in biological samples for metabolite profiling, the so-called metabolomics [84][85][86][87]. As an example, Zhang and coworkers compared three different operation modes, namely FIA/IM-MS, LC-MS, and LC-IM-MS for metabolomics analyses of human plasma and HaCaT cells using DTIMS [85].…”
Section: Drift Tube Ion Mobility Spectrometry (Dtims)mentioning
confidence: 99%
“…CCS determination has also been demonstrated to be useful in metabolomics since it can aid in the small molecule identification for both targeted and untargeted metabolite screening [87]. Reisdorph and coworkers described a typical DTIMS metabolomics workflow as a proposal to investigators who are interested in using IM-MS in their metabolomic studies [84].…”
Section: Drift Tube Ion Mobility Spectrometry (Dtims)mentioning
confidence: 99%