Simultaneous determination of free DL-amino acids in human hair with a novel DBD-M-Pro derivatization by UHPLC-HRMS: An application in diabetes patients.

Human hair is a non-invasive biological sample that is easy to collect and store and can reflect long-term body health. However, the correlation between DL-amino acids and metabolic diseases in hair samples has not been studied. Therefore, we propose a novel UHPLC-HRMS method for analyzing seven free chiral amino acids (DL-Thr, DL-Glu, DL-Ala, DL-Val, DL-Pro, DL-Leu, and DL-Phe) simultaneously in hair samples by derivatization of chiral probe 4-(N,N-dmethylaminosulfonyl)-2,1,3-benzoxadiazole-trans-2-methyl-L-proline (DBD-M-Pro) labeled with targeted amino functional groups. Gradient elution was carried out using an ACQUITYTM BEH C18 (100×2.1 mm,1.7 µm) column with a mobile phase of 0.15 % formic acid (FA) in 10 mM ammonium acetate (CH3-COONH4) and 0.2 % FA in acetonitrile. The labelled DL-amino acid diastereoisomers could be completely separated, with a resolution (Rs) of 1.59-11.44. These amino acids show a strong linear correlation within the range of 3.1-99.2 pmol (R2 ≥ 0.9990). Intraday and interday precision was 1.87 %-14.87 %. The average recovery was 96.12 %-105.33 %. The limit of detection (LOD) ranged from 0.29 to 2.11 pmol. We then employed the method to determine the concentration of free chiral amino acids in hair samples from 30 healthy volunteers (HVs) and 30 diabetes patients (DPs). Male diabetes patients had significantly higher levels of L-Thr, L-Val, L-Leu (p < 0.05), and D-Ala (p < 0.01) in their hair samples than male healthy volunteers and female diabetes patients had significantly higher levels of D-Ala (p < 0.05) in their hair samples than female healthy volunteers. This is the first study to confirm the feasibility of using free DL-amino acids in human hair as potential biomarkers for diabetes.

Simultaneous analysis of natural and artificial sweeteners in sugar-free drinks and urine samples by column-switching UHPLC-charged aerosol detection method.

Sweeteners are considered an alternative to high-calorie foods or drinks and have been widely used globally. However, the simultaneous separation and detection of high-polarity natural and artificial sweeteners are challenging owing to their broad-spectrum physical and chemical properties. Herein, we developed a column-switching UHPLCCAD method and used it for detecting and quantitating 12 sweeteners, including natural sweeteners (erythritol, mannitol, xylitol, sorbitol and stevioside) and artificial sweeteners (acesulfame potassium, saccharin sodium salt, sodium cyclamate, sucralose, aspartame, alitame and neotame). The LOD and LOQ were 0.932-6.25 µg/mL and 3.10-20.83 µg/mL, respectively, and the method demonstrated excellent linearity (R² ≥ 0.9990), good precision (intraday and interday precision was 0.59-6.88 %), and high recovery (average recoveries were 85.16-108.64 %). This method was applied to determine the sweeteners in 15 sugar-free drinks purchased from the local Chinese supermarkets. What's more, natural sweetener erythritol and artificial sweetener acesulfame potassium were suspected over addition in sugar-free drinks. Meanwhile the method was applied to the sweeteners in various sugar-free drinks and the dynamic monitoring of transit and excretion in vivo after drinking. Those prove that the method can be used to the detection of sugar free drinks and quality control of the sweeteners. The study highlights the potential of UHPLC-charged aerosol detection technology in detection of multiple components in food industry.