Mass spectrometry can be used to determine structural information about ions by activating precursors and analysing the resulting series of fragments. Two-dimensional Fourier transform ion cyclotron resonance mass spectrometry (2D FT-ICR MS) is a technique that correlates the mass-to-charge (m/z) ratio of fragment and precursor ions in a single spectrum. 2D FT-ICR MS records the fragmentation of all ions in a sample without the need for isolation. To analyse specific precursors, horizontal cross-sections of the spectrum (fragment ion scans) are taken, providing an alternative to conventional tandem mass spectrometry (MS/MS) experiments. In this work, 2D FT-ICR MS has been used to study the tryptic digest of type I collagen, a large protein. Fragment ion scans have been extracted from the 2D FT-ICR MS spectrum for precursor m/z ratios: 951.81, 850.41, 634.34, and 659.34, and 2D FT-ICR MS spectra are compared with a set of 1D MS/MS spectra using different fragmentation methods. The results show that two-dimensional mass spectrometry excells at MS/MS of complex mixtures, simplifying spectra by eliminating contaminant peaks, and aiding the identification of species in the sample. Currently, with desktop computers, 2D FT-ICR MS is limited by data processing power, a limitation which should be alleviated using cluster parallel computing. In order to explore 2D FT-ICR MS for collagen, with reasonable computing time, the resolution in the fragment ion dimension is limited to 256k data points (compared to 4M data points in 1D MS/MS spectra), but the vertical precursor ion dimension has 4096 lines, so the total data set is 1G data points (4 Gbytes). The fragment ion coverage obtained with a blind, unoptimized 2D FT-ICR MS experiment was lower than conventional MS/MS, but MS/MS information is obtained for all ions in the sample regardless of selection and isolation. Finally, although all 2D FT-ICR MS peak assignments were made with the aid of 1D FT-ICR MS data, these results demonstrate the promise of 2D FT-ICR MS as a technique for studying complex protein digest mixtures.

Two polymeric excipients, typically used in enabling drug delivery approaches, are Gelucire 44/14 (a product of Gattefosse s.a, St Priest, France) and polysorbate 80; these are known to improve solubility of poorly water-soluble drugs and, hence, increase their effective bioavailability. In addition to the use of Gelucire 44/14 and polysorbate 80 as excipients in drugs, they are also widely used as cosmetic and food additives. In general, complex structures and compositions of drug excipients impact performance of the formulation in vivo and consequently affect drug absorption. Therefore, a comparison between excipients from different suppliers and batches to batch would provide an indication of the impact on drug product performance and also the study of the effectiveness of the system and any problems associated with the formulation. In this study, high resolution Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) is used to compare two different batches of Gelucire 44/14 and polysorbate 80. With the high resolving power of FTICR MS, it was possible to differentiate between batches of excipients from differences in the identified components. The improved resolution offered by FTICR MS allowed assignment of four polymeric series differences in the two batches of polysorbate 80 and the presence of one compound and three polymeric series differences in the two batches of Gelucire 44/14. The increase in the number of components assigned in the excipients batch using FTICR-MS, compared to the numbers previously assigned by lower resolution TOF MS, underlines the importance of high resolution techniques in analysis of highly complex mixtures.

A combined approach, using Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) and solid-state NMR (Nuclear Magnetic Resonance), shows a high degree of polymorphism exhibited by Aβ species in forming hydrogen-bonded networks. Two Alzheimer's Aβ peptides, Ac-Aβ(16-22)-NH2 and Aβ(11-25), selectively labeled with (17)O and (15)N at specific amino acid residues were investigated. The total amount of peptides labeled with (17)O as measured by FTICR-MS enabled the interpretation of dephasing observed in (15)N{(17)O}REAPDOR solid-state NMR experiments. Specifically, about one-third of the Aβ peptides were found to be involved in the formation of a specific >C═(17)O···H-(15)N hydrogen bond with their neighbor peptide molecules, and we hypothesize that the rest of the molecules undergo ± n off-registry shifts in their hydrogen bonding networks.