Recent Advances on Starch-Based Adsorbents for Heavy Metal and Emerging Pollutant Remediation.

Starch is one of the most abundant polysaccharides in nature and has a high potential for application in several fields, including effluent treatment as an adsorbent. Starch has a unique structure, with zones of different crystallinity and a glycosidic structure containing hydroxyl groups. This configuration allows a wide range of interactions with pollutants of different degrees of hydrophilicity, which includes from hydrogen bonding to hydrophobic interactions.

The environmental impact of inhalers: a framework for sustainable prescription practices in Spain.

Background: The healthcare sector contributes significantly to global greenhouse emissions, with inhalers being major contributors.

Objective: To develop a framework for reducing the environmental footprint of inhalers in Spain by implementing greener prescription practices.

Methods: A multidisciplinary working group was formed, including hospital pharmacists, pulmonologists, and environmental experts.

Are pectoralis minor length and posterior shoulder tightness associated with patient-reported shoulder pain and disability?

Background: Pectoralis minor (PM) shortening and posterior shoulder tightness (PST) are considered potential soft tissue alterations associated with rotator cuff related shoulder pain (RCRSP). Yet, their precise contribution to pain and disability remains unclear.

Purpose: To explore the association between both PM length and PST and self-reported shoulder pain and disability in individuals with and without RCRSP.

Unveiling the potential of pullulan in enhancing ketoprofen release from PHBV filaments.

In this study, sustainable poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) and pullulan (PUL)/PHBV filaments were prepared with ketoprofen for scaffold preparation. The research aimed evaluate the influence of pullulan in the filament properties, such as thermal, morphological, and biological behavior. Hansen parameters demonstrated the difference in the miscibility of the polymers and drug in the blend.

Investigation of alpha-glucosidase inhibition activity of Artabotrys sumatranus leaf extract using metabolomics, machine learning and molecular docking analysis.

One way to treat diabetes mellitus type II is by using α-glucosidase inhibitor, that will slow down the postprandial glucose intake. Metabolomics analysis of Artabotrys sumatranus leaf extract was used in this research to predict the active compounds as α-glucosidase inhibitors from this extract. Both multivariate statistical analysis and machine learning approaches were used to improve the confidence of the predictions.