Looking for a robust, high-throughput solution for food analysis and authenticity testing? The Bruker FoodScreener® delivers rapid, fully automated NMR analysis designed specifically for routine food profiling and targeted quality control. Developed in collaboration with industry and academic experts, the FoodScreener brings cutting-edge NMR spectroscopy to food and beverage labs worldwide.
With the FoodScreener, laboratories can rely on repeatable, regulatory-aligned results for a wide array of food matrices, including juice, honey, wine, olive oil, and beyond.
Authenticate food products with geographic and botanical origin verification.
Detect economically motivated adulteration (EMA) in real-time.
Generate rapid metabolic fingerprints from complex food matrices.
Provide batch-comparable quality control with minimal sample prep.
Turnkey OperationFully automated data acquisition and evaluation via SOP-based workflows—no NMR expertise required.
Trusted by Global LabsValidated and standardized across over 20 routine applications; trusted in both industrial and regulatory settings.
Robust Data IntegritySupports compliance with EFSA, ISO 17025, and AOAC guidelines. Built-in audit trails and quality control tools ensure data traceability.
Comprehensive Database MatchingMatches spectral fingerprints against Bruker-curated reference databases, continuously expanding with new food types and origins.
Flexible DeploymentRuns on Bruker's high-field NMR systems (400 MHz and above), scalable from research institutes to routine QA/QC labs.
Minimal Sample PreparationNo derivatization, labeling, or complex workflows. Just pipette, place, and analyze.
A powerful tool for detecting juice adulteration and confirming declared fruit content. Ensure compliance with EU Fruit Juice Directive and industry-specific standards.
Key Features:
Differentiates fruit species and geographic origins.
Detects common adulterants such as added sugars, synthetic acids, and water.
Automated reporting for regulatory documentation.
Learn more about Juice Profiling here.
Combat honey fraud with validated NMR methods capable of botanical and geographical origin verification. A crucial asset for both exporters and import control labs.
Detects syrups and other sugar-based adulterants.
Verifies compliance with EU Honey Directive and Codex Alimentarius.
Based on Bruker's comprehensive global honey database.
Learn more about Honey Profiling here.
The gold standard for wine origin, grape variety, and vintage authentication. Safeguard brand identity and consumer trust in a globally competitive market.
Classifies wines by grape variety, country, region, and vintage year.
Assists in export control and import verification for global wine trade compliance.
Enables benchmarking of new vintages against historical quality and compositional data.
Learn more about Wine Profiling here.
Ensure authenticity, origin, and purity of olive oils with advanced NMR fingerprinting. The FoodScreener helps protect against adulteration and supports premium labeling claims.
Differentiates between extra virgin, virgin, and refined olive oils.
Detects common adulterants such as seed or nut oils—even at low concentrations.
Verifies geographic origin based on curated regional databases.
Supports quality control for polyphenol content and fatty acid profiles.
Learn more about Olive Oil Screening here.
Q: What food types are supported by the FoodScreener?A: Juice, wine, honey, olive oil, edible oils, beer, and more. Bruker continuously expands its validated matrices and reference databases.
Q: Is NMR expertise needed to operate the system?A: No. The FoodScreener offers full automation and guided workflows, enabling use by routine lab personnel with minimal training.
Q: Can the FoodScreener help with regulatory compliance?A: Yes. It supports routine workflows and reference methods aligned with EU regulations, AOAC standards, and ISO guidelines.
Q: How does FoodScreener ensure authenticity?A: By comparing the spectral profile of your sample to Bruker’s authenticated reference databases using multivariate statistical models.
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