A recently
introduced technique based on MALDI with laser-induced
postionization (PI), also named MALDI-2, increases the ion yields
for numerous classes of lipids, metabolites, and carbohydrates in
MALDI-MS imaging experiments under certain experimental conditions.
Here, we used a semiautomatic LabVIEW-based protocol to investigate
and optimize the efficiency of the PI process dependent on four relevant
input parameters and a dense parameter grid: pulse energies of the
two lasers, delay between the laser pulses, and buffer gas pressure
in the ion source. All experiments were conducted with a modified
MALDI-2 Synapt G2-S mass spectrometer (Waters) and use of a focal
spot size on the sample of 15–17 μm. A wavelength-tunable
optical parametric oscillator (OPO) laser served for PI at 260 or
280 nm. The investigated MALDI matrices were: 2,5-dihydroxybenzoic
acid (positive ion mode, +), 2,5-dihydroxyacetophenone (+), α-cyano-4-hydroxycinnamic
acid (+), norharmane (negative-ion mode, −), and 1,5-diaminonapthalene
(−). A porcine brain extract served as lipid standard. In the
positive-ion mode, a maximum boost for the generated [M + H]+ species was found with a N2 buffer gas pressure of ∼2
mbar and a delay between the laser emissions of ∼10 μs.
Higher optimal delay settings of several 10 μs were registered
for the two studied matrices in negative-ion mode. With regard to
the laser fluences, best PI efficiencies were reached using maximum
available ablation and PI laser pulse energies of up to 25 and 160
μJ, respectively. For analytes not profiting from MALDI-2, best
ion signal yields were recorded for ablation laser pulse energies
of around 7 μJ, depending on the MALDI matrix. At higher laser
pulse energies, sizable fragmentation is observed for these ions.
The PI laser pulse energy did not have any influence on the ion signals
of these species. For optimal ion yield of all analyte species, best
results were obtained with an ablation laser pulse energy of ∼7
μJ and a PI laser pulse energy of ∼160 μJ. Our
comprehensive data set provides valuable insight into the mechanisms
underlying the MALDI-2 processes and could help to further optimize
this emerging technique.