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Sample preparation in foodomic analyses
Tamara Martinović1, Martina Šrajer Gajdošik2, Djuro Josić1,3
1Department of Biotechnology, University of Rijeka, Rijeka, Croatia.
Electrophoresis
|April 17, 2018
Summary
Accurate foodomics analysis relies on proper sampling and sample preparation. Advances in technology, including robotics and miniaturization, are improving these critical steps for reliable results in foodomics research.
Area of Science:
- Foodomics
- Analytical Chemistry
- Biotechnology
Background:
- Representative sampling and adequate sample preparation are crucial for accurate foodomics analyses.
- Improper techniques can introduce significant bias, which cannot be corrected later in the analytical process.
- Historically neglected, these pre-analytical steps are now gaining critical attention in foodomics research.
Purpose of the Study:
- To review the progress in sampling and sample preparation techniques within the field of foodomics.
- To highlight advancements in instrumentation and methodologies for foodomics.
- To emphasize the importance of these foundational steps for reliable omics data.
Main Methods:
- Review of current literature and technological advancements in foodomics sampling and sample preparation.
- Discussion of sophisticated instrumentation for high-performance and high-throughput analyses.
- Exploration of miniaturization and laboratory robotics applications in omics.
Main Results:
- Significant progress has been made in developing advanced sampling and sample preparation methods for foodomics.
- Sophisticated instruments, miniaturization, and laboratory robotics are increasingly employed to enhance efficiency and accuracy.
- These advancements support high-performance and high-throughput analyses in metabolomics, proteomics, peptidomics, and genomics.
Conclusions:
- Improvements in sampling and sample preparation are vital for the success of foodomics studies.
- Technological innovations are enhancing the reliability and throughput of pre-analytical steps.
- Adoption of advanced techniques ensures the integrity of data interpretation in various foodomics disciplines.
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