The recent hyphenation of ion mobility spectrometry (IMS) with high resolution mass spectrometry (HRMS) has risen as a powerful technique for both targeted and non-targeted screening, reducing background noise and allowing separation of isomeric and isobaric compounds. Nevertheless, such an approach remains largely unexplored in food safety applications, such as mycotoxin analysis. To implement ion mobility in routinely MS-based mycotoxin workflows, searchable databases with collusion cross section (CCS) values and accurate mass-values are required. This paper provides for the first time a traveling-wave IMS (TWIMS)-derived CCS database for mycotoxins, including more than 100 CCS values. The measurements showed high reproducibility (RSD < 2%) across different instrumental conditions as well as several complex cereal matrices, showing a mean inter-matrix precision of RSD <0.9%. As a proof of concept, the database was applied to the analysis of several spiked as well as naturally incurred cereal-based samples. In addition, the effect of adducts on the drift time was studied in a series of mycotoxins in order to understand potential deviations from expected drift time behaviors. Overall, our study confirmed that CCS values represent a physicochemical property that can be used alongside the traditional molecular identifiers of precursor ion accurate mass, fragment ions, isotopic pattern, and retention time.

Ion mobility-derived collision cross section database: Application to mycotoxin analysis / Righetti, Laura; Bergmann, Andreas; Galaverna, Gianni; Rolfsson, Ottar; Paglia, Giuseppe; Dall'Asta, Chiara. - In: ANALYTICA CHIMICA ACTA. - ISSN 0003-2670. - 1014:(2018), pp. 50-57. [10.1016/j.aca.2018.01.047]

Ion mobility-derived collision cross section database: Application to mycotoxin analysis

Righetti, Laura;Galaverna, Gianni;Dall'Asta, Chiara
2018

Abstract

The recent hyphenation of ion mobility spectrometry (IMS) with high resolution mass spectrometry (HRMS) has risen as a powerful technique for both targeted and non-targeted screening, reducing background noise and allowing separation of isomeric and isobaric compounds. Nevertheless, such an approach remains largely unexplored in food safety applications, such as mycotoxin analysis. To implement ion mobility in routinely MS-based mycotoxin workflows, searchable databases with collusion cross section (CCS) values and accurate mass-values are required. This paper provides for the first time a traveling-wave IMS (TWIMS)-derived CCS database for mycotoxins, including more than 100 CCS values. The measurements showed high reproducibility (RSD < 2%) across different instrumental conditions as well as several complex cereal matrices, showing a mean inter-matrix precision of RSD <0.9%. As a proof of concept, the database was applied to the analysis of several spiked as well as naturally incurred cereal-based samples. In addition, the effect of adducts on the drift time was studied in a series of mycotoxins in order to understand potential deviations from expected drift time behaviors. Overall, our study confirmed that CCS values represent a physicochemical property that can be used alongside the traditional molecular identifiers of precursor ion accurate mass, fragment ions, isotopic pattern, and retention time.
Ion mobility-derived collision cross section database: Application to mycotoxin analysis / Righetti, Laura; Bergmann, Andreas; Galaverna, Gianni; Rolfsson, Ottar; Paglia, Giuseppe; Dall'Asta, Chiara. - In: ANALYTICA CHIMICA ACTA. - ISSN 0003-2670. - 1014:(2018), pp. 50-57. [10.1016/j.aca.2018.01.047]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2849142
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