Geert Alkema
Papers
1
Total Citations
26
H-Index
1
About
Geert Alkema is a respected analytical chemist whose work has significantly advanced the methodology for characterizing fats and oils. His primary research focuses on the development and optimization of chromatographic techniques for lipid analysis, with a particular emphasis on the automated determination of fatty acid methyl esters (FAMEs) and the critical distinction between cis and trans isomers. Alkema’s most cited work, a 2001 paper detailing an automated method for FAME composition analysis, has garnered 26 citations, serving as a foundational reference for laboratories requiring rapid, reliable, and reproducible profiling of edible oils and industrial fats. This contribution has been instrumental in quality control, nutritional labeling, and regulatory compliance, streamlining what was once a labor-intensive process. Beyond this landmark study, Alkema’s broader portfolio reflects a sustained commitment to precision in analytical chemistry, enabling researchers and industries to better understand the structural and functional properties of lipids. His work remains a key resource for students and professionals navigating the complexities of fat chemistry and automated analysis.
Research Focus
Key Achievements
Top Papers
- 1