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Value assignment of nutrient concentrations in standard reference material 2384 baking chocolate
Katherine E Sharpless1, Jeanice Brown Thomas, Bryant C Nelson
1National Food Processors Association, 1350 I Street NW, Suite 300, Washington, DC 20005, USA. katherine.sharpless@nist.gov
Journal of Agricultural and Food Chemistry
|November 14, 2002
Summary
A new Standard Reference Material (SRM) for baking chocolate (SRM 2384) is now available. This certified reference material aids in accurate nutrient analysis and method validation for food products.
Area of Science:
- Food Science
- Analytical Chemistry
- Materials Science
Background:
- Accurate nutritional labeling is crucial for consumer health and regulatory compliance.
- Standard Reference Materials (SRMs) are essential for ensuring the accuracy and comparability of analytical measurements.
- Chocolate and high-fat matrices present unique challenges for nutrient analysis.
Purpose of the Study:
- To report the value assignment process for the new SRM 2384 Baking Chocolate.
- To provide a certified reference material for validating analytical methods in food matrices.
- To support accurate measurement of nutrients and other compounds in chocolate products.
Main Methods:
- Value assignment based on measurements by the National Institute of Standards and Technology (NIST) and collaborating laboratories.
- Utilized validated analytical methods for determining concentrations of various analytes.
- Comprehensive characterization of fatty acids, proximates, vitamins, elements, and other compounds.
Main Results:
- SRM 2384 Baking Chocolate has been issued with assigned values for key nutrients and compounds.
- The material is suitable for use as a primary control for in-house materials.
- Provides reliable data for method validation in high-fat food matrices.
Conclusions:
- SRM 2384 Baking Chocolate serves as a critical tool for quality control in the food industry.
- Facilitates accurate and consistent measurement of nutritional information on food labels.
- Enhances the reliability of analytical data for regulatory and research purposes.