Abstract
The importance of dietary betaine is increasingly recognized. The aim of this study was to develop a simple high-performance liquid chromatography with standard ultraviolet spectrometric detection (HPLC-UV) method for betaine (N,N,N-trimethylglycine) determination in foods after derivatization. Two methods were used for betaine derivatization. Thereafter, derivatized betaine was quantified using HPLC-UV, and the results were compared with liquid chromatography mass spectrometry (LC-MS). The established derivatizing agent 2′-naphthacyl triflate and a novel derivatizing agent 2-bromo-2′-acetonaphthone produced the same cationic derivative when they react with betaine. The calibration curves were linear up to 1000 μmol/L (R 2 = 0.9974 for 2′-naphthacyl triflate and 0.9995 for 2-bromo-2′-acetonaphthone). The limit of detection was 1 μmol/L for both methods (2′-naphthacyl triflate and 2-bromo-2′-acetonaphthone), confirming sufficient sensitivity for betaine quantification in foods. The average recovery from different food matrices (wheat flour and spinach) (n = 12) was 99 ± 9 %, 95 ± 10 %, and 101 ± 8 % for LC-MS, 2′-naphthacyl triflate, and 2-bromo-2′-acetonaphthone, respectively. Inter- and intra-assay coefficients of variation (CVs) in the control samples (whole wheat flour) were below 10 %. Quantitative results for foods analyzed using 2′-naphthacyl triflate and 2-bromo-2′-acetonaphthone were comparable to LC-MS (R 2 = 0.992 and 0.990), respectively. The highest betaine content (~160 mg/100 g) was found in spinach followed by faba bean, wheat flour, and beetroot. These methods can be widely used for betaine quantification because of the simplicity of the derivatization procedures, and the commercial availability of the derivatizing reagent (2-bromo-2′-acetonaphthone) or through the relatively easy synthesis of 2-naphthacyl triflate.
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Acknowledgments
Scholarship funding from the Partner Ownership initiative program (ParOwn, grant number 20150), the Ministry of Higher Education, Egypt, is gratefully acknowledged. Assistance from the National Heart Foundation of New Zealand and from the Maurice & Phyllis Paykel Trust is also acknowledged.
Conflict of Interest
Mohammed Hefni declares that he has no conflict of interest. Christopher McEntyre declares he has no conflict of interest. Michael Lever declares that he has no conflict of interest. Sandy Slow declares she has no conflict of interest. This article does not contain any studies with human or animal subjects.
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Hefni, M., McEntyre, C., Lever, M. et al. Validation of HPLC-UV Methods for the Quantification of Betaine in Foods by Comparison with LC-MS. Food Anal. Methods 9, 292–299 (2016). https://doi.org/10.1007/s12161-015-0195-6
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DOI: https://doi.org/10.1007/s12161-015-0195-6