Dejan Bezbradica
Papers
1
Total Citations
35
H-Index
1
About
Dejan Bezbradica is a leading figure in the application of response surface methodology (RSM) to optimize complex analytical workflows, particularly in mass spectrometry imaging. His most cited work, "Response Surface Methodology As a New Approach for Finding Optimal MALDI Matrix Spraying Parameters for Mass Spectrometry Imaging" (2020, 35 citations), revolutionized how laboratories achieve reproducible matrix application for MALDI-MSI. By systematically modeling the interplay of spraying parameters, Bezbradica provided a robust, data-driven framework that replaces trial-and-error optimization, significantly enhancing intra- and interlaboratory reproducibility. This contribution has been instrumental in advancing the reliability of spatial metabolomics and proteomics. Beyond this landmark study, his research spans the intersection of chemometrics, analytical chemistry, and bioanalytical method development, with a focus on automating and optimizing sample preparation for high-throughput imaging. His work has garnered over 35 citations, reflecting its practical impact on researchers seeking standardized protocols. Bezbradica’s innovative use of RSM not only solved a critical bottleneck in MALDI-MSI but also set a precedent for applying statistical design to other analytical challenges, cementing his reputation as a methodologist who bridges theory and laboratory practice.
Research Focus
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Top Papers
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