Effect of the Laser Pulse Width in MALDI-2: A Comparative Study of Picosecond versus Nanosecond Wide Pulses for Laser Postionization

Potthoff A, Minte O, Dreisewerd K, Soltwisch J

Research article (journal)

Abstract

Abstract MALDI-2 is a recently introduced technique for postionization (PI) in matrix-assisted laser desorption/ionization (MALDI). It is based on an initial photoionization of neutrally desorbed matrix molecules and subsequent charge-transfer reactions in a fine vacuum or atmospheric pressure ion source. MALDI-2 significantly increases the ion yields for numerous classes of analytes, including lipids, glycans, and a range of pharmaceuticals. To obtain insights into the ionization mechanisms underlying the primary step of PI in MALDI-2, we here conducted a set of experiments with two lasers at 266 nm wavelength and pulse durations of 28 ps and 6 ns, respectively, on a modified orthogonal-extracting time-of-flight mass spectrometer (QTOF, Synapt). 2,5-Dihydroxybenzoic acid (DHB) and 2,5-dihydroxyacetophenone (DHAP) were investigated as MALDI matrices in the positive-ion mode with standardized lipid samples. Analyte- and matrix-derived ion signals were recorded as a function of PI laser pulse energies. The ion signal intensity displays a quadratic dependency on PI-laser pulse energy for low to moderate intensities of up to ∼107W/cm2. This behavior suggests the involvement of resonance enhanced two-photon ionization (REMPI) of neutral matrix molecules in the ionization pathways. Comparing nanosecond and picosecond pulses at the same PI laser pulse energy, higher photon density produced by the shorter pulses generally produced sizably higher ion signal intensities, also corroborating an involvement of REMPI-like processes. Based on a theoretical description of the MALDI-2 process derived from prevalent REMPI theory, comparative measurements allow us to determine the lifetime of the excited states of the employed matrices. Resulting values for both matrices are in good agreement with the literature and corroborate the REMPI-based approach.

Details zur Publikation

Release year: 2022
Language in which the publication is written: English