Detection of 28 neurotransmitters and related compounds in biological fluids by liquid chromatography/tandem mass spectrometry

This work presents two liquid chromatography/tandem mass spectrometry (LC/MS/MS) acquisition modes: multiple reaction monitoring (MRM) and neutral loss scan (NL), for the analysis of 28 compounds in a mixture. This mixture includes 21 compounds related to the metabolism of three amino acids: tyrosine, tryptophan and glutamic acid, two pterins and five deuterated compounds used as internal standards. The identification of compounds is achieved using the retention times (RT) and the characteristic fragmentations of ionized compounds. The acquisition modes used for the detection of characteristic ions turned out to be complementary: the identification of expected compounds only is feasible by MRM while expected and unexpected compounds are detected by NL. In the first part of this work, the fragmentations characterizing each molecule of interest are described. These fragmentations are used in the second part for the detection by MRM and NL of selected compounds in mixture with and without biological fluids. Any preliminary extraction precedes the analysis of compounds in biological fluids.     

Average distance and maximum induced forest

With the help of the Graffiti system, Fajtlowicz conjectured around 1992 that the average distance between two vertices of a connected graph G is at most half the maximum order of an induced bipartite subgraph of G, denoted α₂(G). We prove a strengthening of this conjecture by showing that the average distance between two vertices of a connected graph G is at most half the maximum order of an induced forest, denoted F(G). Moreover, we characterize the graphs maximizing the average distance among all graphs G having a fixed number of vertices and a fixed value of F(G) or α₂(G). Finally, we conjecture that the average distance between two vertices of a connected graph is at most half the maximum order of an induced linear forest (where a linear forest is a union of paths). © 2008 Wiley Periodicals, Inc. J Graph Theory 60: 31–54, 2009     

Decompositions of cationized heterodimers of amino acids in relation to charge location in peptide ions

The unimolecular decompositions of protonated heterodimers of native and derivatized amino acids to yield the protonated monomers were studied as a guide to charge location in peptide ions. Analyses using a hybrid instrument of BEqQ geometry demonstrated the advantages (with respect to mass resolution, sensitivityr reproducibility, and the elimination of extraneous signals) of the detection of product ions formed in the radiofrequency-only quadrupole region (q) rather than in the field-free region between Band E. Conversion of arginine to dimethylpyrimidylomithine (DMPO) reduced the proton affinity, as evidenced by the decomposition of the protonated arginine/DMPO heterodimer. Conversion of cysteine to pyridylethylcysteine enhanced the proton affinity. Application of these derivatization procedures to peptides resulted in changes in the observed fragmentations of the protonated precursors consistent with the predicted modifications in charge location. Unimolecular decomposition of the protonated dimer composed of glycine and N-acetylglycine yielded both protonated monomers with abundances differing by a factor of only 2; this suggests that in protonated peptides, the amide bonds are competitive with the N-terminal amino group as sites of protonation. It is clear that the propensities to proton’ or metal-cation location at particular sites in peptides are influenced by both short- and long-range intraionic interactions. In peptides composed of amino acids of similar cation affinities, it may be postulated that the ion population is heterogeneous with respect to the site of charge, with consequent promotion of multiple low-energy fragmentation routes.