Differential mobility analysis-mass spectrometry coupled to XCMS algorithm as a novel analytical platform for metabolic profiling

Martínez-Lozano, P.; Criado, E.; Vidal, Guillermo; Cristoni, Simone; Franzoso, Francesco; Piatti, Mara; Brambilla, Paolo

doi:10.1007/s11306-011-0319-y

Cited by 10 publications

(9 citation statements)

References 41 publications

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“…With the introduction of IM-MS, the next dimension for data processing represents the drift time. While data procession of three-dimensional data ( m / z , drift time, signal intensity) obtained using direct infusion ESI coupled to IM-MS has been reported, , software tools are urgently needed that are capable of fast and efficient procession of four-dimensional data set ( m / z , retention time, drift time, signal intensity). In addition, data set acquired using LC–IM-MS may also contain additional MS/MS information collected using nonselective tandem MS technology such as All Ions MS/MS or MS E , thus, creating a further, fifth data dimension.…”

Section: Data Processingmentioning

confidence: 99%

Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics

2015

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Section: Data Processingmentioning

confidence: 99%

Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics

2015

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“…The miniaturized FAIMS device used in this study can therefore be combined with mass spectrometry to profile urine with different selectivity to IM-MS, yielding characteristic DF/CF conditions which can be matched against standards to provide a unique identifier in addition to m / z . The combination of other FAIMS and DMS devices with mass spectrometry has been previously shown to increase peak capacity and resolve isobars in metabolomics and proteomic applications. , …”

Section: Resultsmentioning

confidence: 99%

“…The combination of other FAIMS and DMS devices with mass spectrometry has been previously shown to increase peak capacity and resolve isobars in metabolomics and proteomic applications. 18,36…”

Section: Faims-ms Profilingmentioning

confidence: 99%

Increasing Peak Capacity in Nontargeted Omics Applications by Combining Full Scan Field Asymmetric Waveform Ion Mobility Spectrometry with Liquid Chromatography–Mass Spectrometry

et al. 2017

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Full scan field asymmetric waveform ion mobility spectrometry (FAIMS) combined with liquid chromatography and mass spectrometry (LC-FAIMS-MS) is shown to enhance peak capacity for omics applications. A miniaturized FAIMS device capable of rapid compensation field scanning has been incorporated into an ultrahigh performance liquid chromatography (UHPLC) and time-of-flight mass spectrometry analysis, allowing the acquisition of full scan FAIMS and MS nested data sets within the time scale of a UHPLC peak. Proof of principle for the potential of scanning LC-FAIMS-MS in omics applications is demonstrated for the nontargeted profiling of human urine using a HILIC column. The high level of orthogonality between FAIMS and MS provides additional unique compound identifiers with detection of features based on retention time, FAIMS dispersion field and compensation field (DF and CF), and mass-to-charge (m/z). Extracted FAIMS full scan data can be matched to standards to aid the identification of unknown analytes. The peak capacity for features detected in human urine using LC-FAIMS-MS was increased approximately threefold compared to LC-MS alone due to a combination of the reduction of chemical noise and separation of coeluting isobaric species across the entire analytical space. The use of FAIMS-selected in source collision induced dissociation (FISCID) yields fragmentation of ions, which reduces sample complexity associated with overlapping fragmentation patterns and provides structural information on the selected precursor ions.

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“…It is also worth mentioning that the technique has also been applied in metabolomic studies. Thus, the urinary metabolic fingerprint obtained by DMA-quadrupole time-of-flight (QTOF) allowed Martinez-Lozano and coworkers to differentiate between prostate cancer patients and healthy individuals [103].…”

Section: Differential Mobility Analysis (Dma)mentioning

confidence: 99%

Ion Mobility–Mass Spectrometry for Bioanalysis

et al. 2021

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This paper aims to cover the main strategies based on ion mobility spectrometry (IMS) for the analysis of biological samples. The determination of endogenous and exogenous compounds in such samples is important for the understanding of the health status of individuals. For this reason, the development of new approaches that can be complementary to the ones already established (mainly based on liquid chromatography coupled to mass spectrometry) is welcomed. In this regard, ion mobility spectrometry has appeared in the analytical scenario as a powerful technique for the separation and characterization of compounds based on their mobility. IMS has been used in several areas taking advantage of its orthogonality with other analytical separation techniques, such as liquid chromatography, gas chromatography, capillary electrophoresis, or supercritical fluid chromatography. Bioanalysis is not one of the areas where IMS has been more extensively applied. However, over the last years, the interest in using this approach for the analysis of biological samples has clearly increased. This paper introduces the reader to the principles controlling the separation in IMS and reviews recent applications using this technique in the field of bioanalysis.

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Differential mobility analysis-mass spectrometry coupled to XCMS algorithm as a novel analytical platform for metabolic profiling

Cited by 10 publications

References 41 publications

Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics

Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics

Increasing Peak Capacity in Nontargeted Omics Applications by Combining Full Scan Field Asymmetric Waveform Ion Mobility Spectrometry with Liquid Chromatography–Mass Spectrometry

Ion Mobility–Mass Spectrometry for Bioanalysis

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