Effect of flow rate on plate height and resolution for antisense oligonucleotides under hydrophilic interaction liquid chromatography conditions.

Determination of quality attributes of antisense oligonucleotides (ASOs) such as purity, potency, and sequence is challenging due to their relatively large size, polyanionic nature, and large number of synthetic modifications. Chromatography technologies are evolving rapidly to meet these challenges, and one area of particularly rapid change at this time is the use of hydrophilic interaction liquid chromatography (HILIC) for oligonucleotide (ON) separations. Relatively little has been published on the factors that dictate the kinetics of these separations.

Case reports unlocked: Harnessing large language models to advance research on child maltreatment.

Background: Research on child protective services (CPS) is impeded by a lack of high-quality structured data. Crucial information on cases is often documented in case files, but only in narrative form. Researchers have applied automated language processing to extract structured data from these narratives, but this has been limited to classification tasks of fairly low complexity.

Improved hydrophobic subtraction model of reversed-phase liquid chromatography selectivity based on a large dataset with a focus on isomer selectivity.

Reversed-phase (RP) liquid chromatography is an important tool for the characterization of materials and products in the pharmaceutical industry. Method development is still challenging in this application space, particularly when dealing with closely-related compounds. Models of chromatographic selectivity are useful for predicting which columns out of the hundreds that are available are likely to have very similar, or different, selectivity for the application at hand.

Bosea rubneri sp. nov. Isolated from Organically Grown Allium cepa.

Strain ZW T0_25 was isolated from an onion sample (Allium cepa var. Hytech F1) within a storage trial and proofed to be a novel, aerobic, Gram-stain negative, rod-shaped bacterial strain. Analyses of the 16S rRNA gene sequence and of the whole draft genome sequences, i.

Enhancing LC×LC separations through multi-task Bayesian optimization.

Method development in comprehensive two-dimensional liquid chromatography (LC×LC) is a challenging process. The interdependencies between the two dimensions and the possibility of incorporating complex gradient profiles, such as multi-segmented gradients or shifting gradients, make trial-and-error method development time-consuming and highly dependent on user experience. Retention modeling and Bayesian optimization (BO) have been proposed as solutions to mitigate these issues.