Resolving isomers of nitrogen containing polycyclic aromatic compounds by travelling wave ion mobility spectrometry – Mass spectrometry and multiway curve resolution
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Resolving isomers of nitrogen containing polycyclic aromatic compounds by travelling wave ion mobility spectrometry – Mass spectrometry and multiway curve resolution. / Knudsen, Sofie B.; Christensen, Jan H.; Tomasi, Giorgio.
In: Chemometrics and Intelligent Laboratory Systems, Vol. 208, 104201, 2021.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Resolving isomers of nitrogen containing polycyclic aromatic compounds by travelling wave ion mobility spectrometry – Mass spectrometry and multiway curve resolution
AU - Knudsen, Sofie B.
AU - Christensen, Jan H.
AU - Tomasi, Giorgio
PY - 2021
Y1 - 2021
N2 - Separation of nitrogen containing heterocyclic aromatic compounds in oil products is challenging due to the high number of structural isomers. Resolving these isomers is a major challenge in chromatography, even when combined with mass spectrometry (MS), because they have similar volatility, polarity, and mass spectra. Ion-mobility spectrometry (IMS) can address this problem by separating molecules according to their “bulkiness”. When used in combination with mass spectrometry on multiple samples, three-way arrays can be generated which can be modelled by a PARAFAC model to further enhance the resolution. In the three-way case, PARAFAC components cannot be uniquely resolved if the compounds they represent have the same profile in one of the modes. The PARALIND model – i.e., PARAFAC with Linear Dependencies, partly copes with this problem by introducing a dependency matrix. PARAFAC and PARALIND were tested to extract the signals of ten nitrogen containing heterocyclic aromatic compounds from IMS-MS data. The mixtures included three pairs of isomers, which could not be fully resolved by optimization of the ion mobility parameters. The results indicate that ion mobility combined with PARAFAC or PARALIND is a powerful complementary analysis platform that could aid the analysis of products containing a mixture of isomeric hetero-atomic compounds.
AB - Separation of nitrogen containing heterocyclic aromatic compounds in oil products is challenging due to the high number of structural isomers. Resolving these isomers is a major challenge in chromatography, even when combined with mass spectrometry (MS), because they have similar volatility, polarity, and mass spectra. Ion-mobility spectrometry (IMS) can address this problem by separating molecules according to their “bulkiness”. When used in combination with mass spectrometry on multiple samples, three-way arrays can be generated which can be modelled by a PARAFAC model to further enhance the resolution. In the three-way case, PARAFAC components cannot be uniquely resolved if the compounds they represent have the same profile in one of the modes. The PARALIND model – i.e., PARAFAC with Linear Dependencies, partly copes with this problem by introducing a dependency matrix. PARAFAC and PARALIND were tested to extract the signals of ten nitrogen containing heterocyclic aromatic compounds from IMS-MS data. The mixtures included three pairs of isomers, which could not be fully resolved by optimization of the ion mobility parameters. The results indicate that ion mobility combined with PARAFAC or PARALIND is a powerful complementary analysis platform that could aid the analysis of products containing a mixture of isomeric hetero-atomic compounds.
KW - Heterocyclic aromatic compounds
KW - Ion mobility mass spectrometry
KW - Isomer separation
KW - PARAFAC
KW - PARALIND
U2 - 10.1016/j.chemolab.2020.104201
DO - 10.1016/j.chemolab.2020.104201
M3 - Journal article
AN - SCOPUS:85097426735
VL - 208
JO - Chemometrics and Intelligent Laboratory Systems
JF - Chemometrics and Intelligent Laboratory Systems
SN - 0169-7439
M1 - 104201
ER -
ID: 254661842