Hydrophilic Interaction Chromatography Coupled with Charged Aerosol Detection for Simultaneous Quantitation of Carbohydrates, Polyols and Ions in Food and Beverages.
Johannes PitschJulian WeghuberPublished in: Molecules (Basel, Switzerland) (2019)
Here, we report an accurate and versatile method for the simultaneous determination of 17 sugars (arabinose, erythrose, fructose, galactose, glucose, isomaltulose, lactose, lyxose, maltose, maltotriose, mannose, raffinose, rhamnose, ribose, sucrose, sorbose and xylose), seven polyols (erythritol, inositol, lactitol, maltitol, mannitol, sorbitol and xylitol), five ions (K+, Br-, Cl-, NO3- and SO42-) and the pseudosaccharide acarbose. For compound separation, hydrophilic interaction chromatography (HILIC) coupled to a corona charged aerosol detector (CAD) was used. The method was validated for linearity, precision, reproducibility, retention factor and optimal injection volume. Standards were measured in the range of 1-1000 mg L-1 and showed good intraday and interday repeatability, as well as precision (relative standard deviation (RSD) < 5%). The LODs and LOQs for the 30 analytes were in the range of 0.032-2.675 mg L-1 and 0.107-8.918 mg L-1, respectively. This method exhibited correlation coefficients of at least R2 > 0.97 for all analytes. The method was tested in 24 food and beverage samples to validate the separation efficiency and sensitivity in natural food matrices and to show the practicability of its use for routine food analysis.
Keyphrases
- liquid chromatography
- simultaneous determination
- tandem mass spectrometry
- mass spectrometry
- high resolution mass spectrometry
- high performance liquid chromatography
- ultra high performance liquid chromatography
- solid phase extraction
- liquid chromatography tandem mass spectrometry
- human health
- gas chromatography
- water soluble
- high speed
- coronary artery disease
- magnetic resonance imaging
- quantum dots
- metabolic syndrome
- computed tomography
- insulin resistance
- risk assessment
- type diabetes
- adipose tissue
- weight loss
- data analysis
- saccharomyces cerevisiae
- climate change