Investigation of relationships between barley stress peptides and beer gushing using SDS-PAGE and MS screening.

The relationship between gushing and antifungal peptides in barley and malt kernels was examined for five barley varieties produced in the Czech Republic with four conditions of infection and treatment. Proteome changes during pathogen-seed interaction were observed with SDS-PAGE and MALDI-TOF MS. These methods were applied as a fast screening for observing the relationship between gushing and peptides/proteins.

Quantification of fructo-oligosaccharides based on the evaluation of oligomer ratios using an artificial neural network.

The application of an internal standard in quantitative analysis is desirable in order to correct for variations in sample preparation and instrumental response. In mass spectrometry of organic compounds, the internal standard is preferably labelled with a stable isotope, such as (18)O, (15)N or (13)C. In this study, a method for the quantification of fructo-oligosaccharides using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI TOF MS) was proposed and tested on raftilose, a partially hydrolysed inulin with a degree of polymeration 2-7.

Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines.

Solid-phase extraction (SPE) is often used for preconcentration of analytes from biological samples. Such an analytical step requires optimization for obtaining reliable results. Optimization in analytical chemistry is traditionally still often done with relaxation method, when an optimal value of a single variable is searched for (single variable approach (SVA)).

Quantitative analysis of chiral compounds from unresolved peaks in capillary electrophoresis using multivariate calibration with experimental design and artificial neural networks.

Quantitation of optical isomers can be achieved even from incompletely resolved peaks with a multivariate calibration applying a combination of experimental design and artificial neural networks (ANN). Using the proposed approach, method development can be more efficient and analysis time shortened while quantitation of optical isomers with acceptable precision (+/-1-3%) can be achieved.