Chromatographic performance of microfluidic liquid chromatography devices: Experimental evaluation of straight versus serpentine packed channels

Microfluidic chip and chiroptical gold nanoparticle-based colorimetric sensor for enantioselective detection of L-tryptophan

Herein, we introduce a novel integrated system that merges an enantio-discriminative bio-MOF-packed centrifugal microfluidic chip made from PDMS with a user-friendly on-site colorimetric sensor. This innovative approach enables the precise enantioselective recognition of L-tryptophane (L-Trp). This chiral recognition probe was successfully synthesized through meticulous control of nano-ovals-shaped gold nanoparticles morphology and surface passivation. The operational factor of this methodology was optimized to ensure simplicity, practicality, and efficiency. This optimization led to reduced reagent consumption and instantaneous analytical feedback. The integrated system was effectively applied for enantioselective separation and quantification of L-Trp across an extensive linear range of 50 μM-1.5 mM, impressive limit of detection as low as 15 μM. It is noteworthy that this integrated system demonstrated desirable selectivity even in the presence of similar biomolecules, showcasing its robust performance and rapid detection capability. Further extended the application of this strategy to exceptional performance across enantioselective sensing of L-Trp in various sample matrices, comprising bovine serum albumin, bovine milk, blood plasma and urine samples. This integrated microfluidic sample pretreatment, chiroptical sensing, and on-site signal recording with a smartphone hold tremendous potential for widespread implementation, practical applications engaging healthcare and environmental, food safety, and point-of-needs analysis, facilitating successive solution mixing and colorimetric detection.

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.