Characterization of the Retention of Artificial Sweeteners by Hydrophilic Interaction Liquid Chromatography

Sweeteners in food samples: An update on pretreatment and analysis techniques since 2015

Sweeteners play an irreplaceable role in daily life and have been found in multitudinous food products. However, excessive or unreasonable intake of sweeteners as food additives brings about untoward problems due to the accumulation in the human body. Therefore, a comprehensive review of different sweeteners' pretreatment and determination methods is urgently needed. In this review, we comprehensively reviewed the progress of different pretreatment and detection methods for sweeteners in various food, focusing on the latest development since 2015. Current state-of-the-art technologies, such as headspace single-drop microextraction, ultrasound-assisted emulsification microextraction, solid-phase microextraction, two-dimensional liquid chromatography, and high-resolution mass spectrometry, are thoroughly discussed. The advantages, disadvantages, critical comments, and future perspectives are also proposed. This review is expected to provide rewarding insights into the future development and broad application of pretreatment and detection methods for sweeteners in different food samples.

Recent applications of retention modelling in liquid chromatography

Recent applications of retention modelling in liquid chromatography (2015–2020) are comprehensively reviewed. The fundamentals of the field, which date back much longer, are summarized. Retention modeling is used in retention‐mechanism studies, for determining physical parameters, such as lipophilicity, and for various more‐practical purposes, including method development and optimization, method transfer, and stationary‐phase characterization and comparison. The review focusses on the effects of mobile‐phase composition on retention, but other variables and novel models to describe their effects are also considered. The five most‐common models are addressed in detail, i.e. the log‐linear (linear‐solvent‐strength) model, the quadratic model, the log–log (adsorption) model, the mixed‐mode model, and the Neue–Kuss model. Isocratic and gradient‐elution methods are considered for determining model parameters and the evaluation and validation of fitted models is discussed. Strategies in which retention models are applied for developing and optimizing one‐ and two‐dimensional liquid chromatographic separations are discussed. The review culminates in some overall conclusions and several concrete recommendations.

Analysis of nucleotide pools in bacteria using HPLC-MS in HILIC mode

Nucleotides, nucleosides and their derivatives are present in all cells at varying concentrations that change with the nutritional, and energetic status of the cell. Precise measurement of the concentrations of these molecules is instrumental for understanding their regulatory effects. Such measurement is challenging due to the inherent instability of these molecules and, despite many decades of research, the reported values differ widely. Here, we present a comprehensive and easy-to-use approach for determination of the intracellular concentrations of >25 target molecular species. The approach uses rapid filtration and cold acidic extraction followed by high performance liquid chromatography (HPLC) in the hydrophilic interaction liquid chromatography (HILIC) mode using zwitterionic columns coupled with UV and MS detectors. The method reliably detects and quantifies all the analytes expected to be observed in the bacterial cell and paves the way for future studies correlating their concentrations with biological effects.