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. 2022 Jan 28;12(2):126. doi: 10.3390/metabo12020126

Table 3.

Overview of the validation criteria for candidate intake biomarkers.

Substrate Biomarker Plausibility Dose–Response Time–Response Robustness Reliability Stability Analytical Performance Reproducibility
Polyphenolic compounds Urine Dihydro caffeic acid 3-O-sulfate Y U U Y U U U U
Polyphenolic compounds Urine Hippuric acid Y U U U Y Y Y Y
Citrus Urine Proline betaine Y U U U U U Y U
Beans Urine NMNA Y U U U U U Y U
Coconut Urine Scyllo-inositol Y U U U U U Y U
Beans Serum Acetylornithine Y U U U U U Y U

NMNA: N-methylnicotinic acid. Q1: Is the marker compound plausible as a specific biomarker for the food or food group (chemical/biological plausibility)? Q2: Is there a dose–response relationship at relevant intake levels of the targeted food (quantitative aspect)? Q3: Is the biomarker kinetics described adequately to make a wise choice of sample type, frequency, and time window (time–response)? Q4: Has the marker been shown to be robust after intake of complex meals reflecting dietary habits of the targeted population (robustness)? Q5: Has the marker been shown to compare well with other markers or questionnaire data for the same food/food group (reliability)? Q6: Is the marker chemically and biologically stable during biospecimen collection and storage, making measurements reliable and feasible (stability)? Q7: Are analytical variability (CV%), accuracy, sensitivity, and specificity known to be adequate for at least one reported analytical method (analytical performance)? Q8: Has the analysis been successfully reproduced in another laboratory (reproducibility)? Y = yes; U = unknown.