Method development and validation for quantitative determination of urinary biomarkers of food intake for multiple foods
Journal article, 2026

Biomarkers of food intake (BFIs) have emerged as a promising objective tool to complement traditional selfreported dietary assessment in nutritional research, with the potential to reduce systematic errors and improve accuracy. The development of comprehensive and robust quantification methods for BFIs is essential for widespread application. However, existing methods typically cover only a moderate number of BFIs per method, hindering their wide application in the field. In this study, we present the development and validation of a method for simultaneous quantification of 80 BFIs in urine reflecting 27 foods. The method utilizes a simple sample preparation procedure, followed by separation using both high-performance liquid chromatography (HPLC) on a C18 column and a hydrophilic interaction chromatography (HILIC) column, combined with tandem mass spectrometry in positive and negative mode (HPLC-MS/MS) (individual runs: 6 min). The working range for each analyte was determined in urine samples from a non-randomized, non-blinded nutritional intervention study. The method was validated with respect to selectivity, linearity, robustness, matrix effects, recovery, accuracy, and precision. In total, 44 BFIs could be absolutely quantified without or with only limitations at low concentrations, while 36 BFIs could only be measured semi-quantitatively, including 16 BFIs with limited validation data due to uncertainties. The 80 BFIs represent 27 foods (6 semi-quantitative) frequently consumed in European diets, including 24 plant-derived and 3 animal-derived items. The future implementation of this largescale BFI quantification method in nutritional studies is expected to demonstrate the benefits of routinely measuring BFIs to improve the accuracy of dietary assessment.

Multi-target

Method validation

HPLC-MS/MS

Biological sample

Biomarker of food intake

Dietary assessment

Quantification

Author

Christoph Hassenberg

Max Rubner-Institut, Germany

Sebastian T. Soukup

Max Rubner-Institut, Germany

Marina Armeni

Chalmers, Life Sciences, Systems and Synthetic Biology

Achim Bub

Max Rubner-Institut, Germany

Karlsruhe Institute of Technology (KIT)

Cannas

Max Rubner-Institut, Germany

David Fuentes

Max Rubner-Institut, Germany

Otto Savolainen

Chalmers, Life Sciences, Infrastructures

Stephanie Seifert

Max Rubner-Institut, Germany

Rikard Landberg

Chalmers, Life Sciences, Food and Nutrition Science

Sabine E. Kulling

Max Rubner-Institut, Germany

Carina I. Mack

Max Rubner-Institut, Germany

Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences

1570-0232 (ISSN) 1873376x (eISSN)

Vol. 1268 124793

Food phytochemicals matter for cardiometabolic health

Formas (2019-02201), 2019-12-01 -- 2022-12-31.

Subject Categories (SSIF 2025)

Analytical Chemistry

Nutrition and Dietetics

DOI

10.1016/j.jchromb.2025.124793

PubMed

41175511

More information

Latest update

11/21/2025