Testing regulations for contaminants, like pesticides, veterinary drugs, and mycotoxins, in foodstuffs are generally determined by analyte-specific guidelines. However, the challenge with this approach lies in the variable chemical composition of food matrices, making them prone to matrix effects and interferences. As a result, sample preparation and analysis methods are often tailored to a particular food matrix, which can impact productivity, throughput, and overhead costs. Additionally, as analyte lists continue to grow, their chemical and physical properties are becoming increasingly similar to those of the matrix, further complicating sample cleanup.
Ideally, a lab could use a single sample preparation and analysis method for all contaminants. Unfortunately, this is often impossible due to matrix effects or the sensitivity requirements of each panel. However, a promising solution is presented in this whitepaper. The outlined approach aims to simplify and streamline lab workflows by minimizing the need for distinct sample preparation and analysis methods for different classes of samples and analytes.
Download this whitepaper to gain insights into:
- The tradeoffs between dilution and sensitivity requirements
- Techniques to enhance sensitivity and reduce matrix effects
- Methods for simplifying sample preparation procedures and streamlining workflows
