Method development and validation for quantitative determination of urinary biomarkers of food intake for multiple foods
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| Title: | Method development and validation for quantitative determination of urinary biomarkers of food intake for multiple foods |
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| Authors: | Hassenberg, Christoph, Soukup, Sebastian T., Armeni, Marina, 1990, Bub, Achim, Cannas, Fuentes, David, Savolainen, Otto, 1982, Seifert, Stephanie, Landberg, Rikard, 1981, Kulling, Sabine E., Mack, Carina I. |
| Source: | Bioaktiva ämnen i maten har betydelse för kardiometabol hälsa Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences. 1268 |
| Subject Terms: | Multi-target, Method validation, HPLC-MS/MS, Biological sample, Biomarker of food intake, Dietary assessment, Quantification |
| Description: | 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. |
| File Description: | electronic |
| Access URL: | https://research.chalmers.se/publication/549357 https://research.chalmers.se/publication/549357/file/549357_Fulltext.pdf |
| Database: | SwePub |
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| Items | – Name: Title Label: Title Group: Ti Data: Method development and validation for quantitative determination of urinary biomarkers of food intake for multiple foods – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hassenberg%2C+Christoph%22">Hassenberg, Christoph</searchLink><br /><searchLink fieldCode="AR" term="%22Soukup%2C+Sebastian+T%2E%22">Soukup, Sebastian T.</searchLink><br /><searchLink fieldCode="AR" term="%22Armeni%2C+Marina%22">Armeni, Marina</searchLink>, 1990<br /><searchLink fieldCode="AR" term="%22Bub%2C+Achim%22">Bub, Achim</searchLink><br /><searchLink fieldCode="AR" term="%22Cannas%22">Cannas</searchLink><br /><searchLink fieldCode="AR" term="%22Fuentes%2C+David%22">Fuentes, David</searchLink><br /><searchLink fieldCode="AR" term="%22Savolainen%2C+Otto%22">Savolainen, Otto</searchLink>, 1982<br /><searchLink fieldCode="AR" term="%22Seifert%2C+Stephanie%22">Seifert, Stephanie</searchLink><br /><searchLink fieldCode="AR" term="%22Landberg%2C+Rikard%22">Landberg, Rikard</searchLink>, 1981<br /><searchLink fieldCode="AR" term="%22Kulling%2C+Sabine+E%2E%22">Kulling, Sabine E.</searchLink><br /><searchLink fieldCode="AR" term="%22Mack%2C+Carina+I%2E%22">Mack, Carina I.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <i>Bioaktiva ämnen i maten har betydelse för kardiometabol hälsa Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences</i>. 1268 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Multi-target%22">Multi-target</searchLink><br /><searchLink fieldCode="DE" term="%22Method+validation%22">Method validation</searchLink><br /><searchLink fieldCode="DE" term="%22HPLC-MS%2FMS%22">HPLC-MS/MS</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+sample%22">Biological sample</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarker+of+food+intake%22">Biomarker of food intake</searchLink><br /><searchLink fieldCode="DE" term="%22Dietary+assessment%22">Dietary assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Quantification%22">Quantification</searchLink> – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Format Label: File Description Group: SrcInfo Data: electronic – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/549357" linkWindow="_blank">https://research.chalmers.se/publication/549357</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/549357/file/549357_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/549357/file/549357_Fulltext.pdf</link> |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jchromb.2025.124793 Languages: – Text: English Subjects: – SubjectFull: Multi-target Type: general – SubjectFull: Method validation Type: general – SubjectFull: HPLC-MS/MS Type: general – SubjectFull: Biological sample Type: general – SubjectFull: Biomarker of food intake Type: general – SubjectFull: Dietary assessment Type: general – SubjectFull: Quantification Type: general Titles: – TitleFull: Method development and validation for quantitative determination of urinary biomarkers of food intake for multiple foods Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hassenberg, Christoph – PersonEntity: Name: NameFull: Soukup, Sebastian T. – PersonEntity: Name: NameFull: Armeni, Marina – PersonEntity: Name: NameFull: Bub, Achim – PersonEntity: Name: NameFull: Cannas – PersonEntity: Name: NameFull: Fuentes, David – PersonEntity: Name: NameFull: Savolainen, Otto – PersonEntity: Name: NameFull: Seifert, Stephanie – PersonEntity: Name: NameFull: Landberg, Rikard – PersonEntity: Name: NameFull: Kulling, Sabine E. – PersonEntity: Name: NameFull: Mack, Carina I. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15700232 – Type: issn-print Value: 1873376x – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: CTH_SWEPUB Numbering: – Type: volume Value: 1268 Titles: – TitleFull: Bioaktiva ämnen i maten har betydelse för kardiometabol hälsa Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences Type: main |
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