Clustering of palladium(II) chloride in acetonitrile solution investigated by electrospray mass spectrometry

Clustering of simple aminosulfonic acids – electrospray ionization mass spectrometric study

“…As an example, in Fig. 2 the isotopic pattern of the signal for [(Tau) 7 ÀH] 1À + [(Tau) 14 -2H] 2À from ESI-MS spectrum (a) is compared with the corresponding simulated ones for [(Tau) 7 ÀH] 1À (b) and [(Tau) 7 À2H] 2À (c). Calculated intensities of singly and doubly charged ions were abundance-weighted.…”

“…An immense amount of work has been devoted to the study of the association behaviour of amino acids during the ESI process . A number of other homo‐ and hetero‐associates have also been studied by ESI‐MS which include nucleosides, metal salts, metal complexes, and surfactants …”

“…[1][2][3] An immense amount of work has been devoted to the study of the association behaviour of amino acids during the ESI process. [4][5][6][7][8][9][10][11] A number of other homo-and hetero-associates have also been studied by ESI-MS which include nucleosides, [12,13] metal salts, [14] metal complexes, [15] and surfactants. [16] The important questions which appear in an ESI-MS study concern the structural organization of the molecules under study in the gas phase, and if gas phase charged supramolecular aggregates reflect their aggregation state in the starting solution.…”

Towards determining molecular structure with ESI-MS backed by computational methods: structures of subnanoclusters of Pd and Cu chlorides, ion dynamics in vacuum, and challenges to the methodology

“…4 Such an advantageous combination makes this analytic technique ideal for studies of systems that undergo time evolution as catalytic solutions. Other (colloid) solutions of organic and organometallic compounds, such as (nano)clusters and transition metal complexes, have been effectively studied with ESI-MS. [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] However, the analysis of (colloid) solutions with ESI-MS is a tedious and time-consuming activity that requires expert knowledge. 3,21 Inefficient automation of spectral analysis significantly slows research on various complex catalytic systems based on transition metals.…”

“…28,29 Consequently, ESI-MS spectra of such catalytic systems exhibit an excessively large number of signals, including those of monomeric intermediates and catalysts, of catalytic clusters/oligomers formed in situ, as well as the signals of agglomerates and impurities formed in the ESI process. 3,5,6 The next level of complexity stems from the fact that conventional ESI-MS does not provide structural information. Tandem or energy-dependent MS is often (and efficiently) used to gain a better understanding of the structure of transition metal complexes and clusters, including catalytically active complexes.…”