Chitosan-casein as novel drug delivery system for transferring Phyllanthus emblica to inhibit Pseudomonas aeruginosa.

This study investigated the ability of Phyllanthus emblica encapsulated within chitosan-coated casein (CS-casein-Amla) nanoparticles to inhibit the growth of multi-drug-resistant Pseudomonas aeruginosa (P. aeruginosa) bacteria and prevent the formation of biofilms. The MDR strains underwent screening, and the morphological characteristics of the resulting nanoparticles were assessed using SEM, DLS, and FTIR.

Innovative use of lipid mesophase dispersions for bisphenol A sequestration in water.

Hypothesis: Mesophase dispersions are promising colloids for removing micropollutants from water. We hypothesized that the complex internal nanostructure and tunable lipid/water interface amounts play a crucial role in absorbed quantities. Modifications in interfacial organization within the particles while trapping the micropollutant is assumed.

A guided wave propagation method for delamination detection in fiber-metal laminates.

This study aimed to assess the delamination detection in FMLs via the finite element (FE) simulations of Lamb wave propagation. An FE model of an FML specimen with [Al/90/Al/90/Al] layup was developed. Delamination damage of 10 and 25 mm diameters was induced between different layers of the FML specimen.

A fault-tolerant control strategy to estimate and compensate the temperature sensor bias in supermarket refrigeration systems.

The paper proposes a data-driven fault-tolerant control (FTC) strategy to construct and accommodate the bias on ambient temperature measurements in supermarket refrigeration systems. The bias, which is caused by direct or indirect exposure of the sensor to the sun, can have a significant impact on the refrigeration system's energy consumption. Based on analysis of the real data a comprehensive model of the bias is developed and then used to generate realistic scenarios for testing the proposed FTC method.