A fully automated semi-microbore high performance liquid chromatographic (HPLC) method with column-switching using UV detection was developed for the determination of glimepiride from human plasma samples. Plasma sample (900 microl) was deproteinated and extracted with ethanol and acetonitrile. The extract (70 microl) was directly injected into a Capcell Pak MF Ph-1 pre-column where the primary separation occurred to remove proteins and retain drugs using a mixture of acetonitrile and 10mM phosphate buffer (pH 2.18) (20:80, v/v). The analytes were transferred from the pre-column to an intermediate column using a switching valve and then subsequently separated on an analytical column and monitored with UV detection at 228 nm. Glimepiride was eluted with retention time 34.9 min without interference of endogenous substance from plasma. The limit of quantification (LOQ) was 10 ng/ml for glimepiride. The calibration curves were linear over the concentration range of 10-400 ng/ml (r(2) = 0.9997). Moreover, inter- and intra-day precisions of the method were less than 15% and accuracies were higher than 99%. The developed method was successfully applied for the quantification of glimepiride in human plasma and was used to support a human pharmacokinetic study following a single oral administration of 2 mg glimepiride.

ObjectivesChild oral health is a result of interactions between multilevel influences within a complex system. Understanding those interactions informs conceptualizing a socioecological framework of important influences on oral health. This paper aimed to present a scoping review on the determinants of dental caries and their interactions in childhood and adolescence.MethodsThe two review questions were as follows: Which factors are determinants of child dental caries? and, How do determinants interact within and across socioecological levels? The three main electronic databases for biomedical records, PubMed, Web of Science and Scopus were searched, followed by reference check. The search and screening/selection procedures followed an a priori strategy and inclusion/exclusion criteria were specified in advance. The main components of the strategy were participants, concept and context. Following the final selection, eligible studies were assessed with quality appraisal tools for the risk of methodologic biases. Determinants reported in the included studies were then assigned to the micro‐, meso‐, exo‐ or macro‐systems levels in a socioecological framework. Interactions between determinants were also identified and reported.ResultsA total of 100 studies were included after removal of duplicates, screening on the title/abstracts and full‐text assessment among 3313 records initially identified. A higher number of studies included were cross‐sectional studies published in recent years. The majority of determinants found to influence child dental health were assigned to microsystem level within the framework. However, determinants were found at all levels and interactions were reported within and between socioecological levels. Determinants identified in the scoping review represent factors at different socioecological levels that influence child oral health.ConclusionApplication of a socioecological model through a complex systems approach should lead to valid and robust progress towards practical solutions for better child oral health globally.