The novel coronavirus disease (COVID-19) has generated great confusion around the world, affecting people’s lives and producing a large number of deaths. The development of portable and wearable devices is of great importance in several fields such as point-of-care medical applications and environmental monitoring. Wearable devices with an ability to collect various types of physiological records are progressively becoming incorporated into everyday life of people. Physiological indicators are essential health indicators and their monitoring could efficiently enable early discovery of disease. This would also help decrease the number of extra severe health problems, in disease avoidance, and lower the overall public sector health cost. Protective clothing is nowadays a main part of textiles classified as technical or industrial textiles. Protective clothing aims to protect its wearer from the harsh environmental impacts that may result in injury or death. Providing protection for the common population has also been taken seriously considering the anticipated disaster due to virus attacks. This review highlights the properties of the materials that are used in wearable health care device and medical textiles.

Copper and copper alloys are used in industrial applications and food contact surfaces due to their desirable properties; copper metal matrix composites have been exciting researchers' attention in recent years since they can offer many valuable characteristics. The present study investigated the effects of the TiO₂nanoparticles addition with different weight percent on the hardness and corrosion behavior of copper nanocomposites. The powder metallurgy method was used to fabricate the Cu/TiO₂reinforced with different weight fractions of TiO₂nano particles up to 12 wt.%. The corrosion behavior of fabricated specimens is evaluated using potentiodynamic polarization curves and electrochemical impedance spectroscopy in different solutions. These solutions were 3.5wt.% NaCl, 0.5 NaOH and 0.5 M H₂SO₄reflected different pH. The results showed that the addition of TiO₂nano particles improves pure copper's hardness. The hardness of pure copper increased from 53 to 91 HV by adding 12 wt.% TiO_2.The corrosion current density (I_corr) of copper nanocomposites test specimens was higher than I_corrof pure copper in all test solutions. As TiO₂nano particles increase, the corrosion resistance of Cu nano composites decreased. All test specimens exhibited little corrosion current density in 3.5 wt.% NaCl solution as compared with other test solutions.

In the present work, Cerium (IV)-Zirconium (IV) oxide nanoparticles (CeO₄ZrNPs) was successfully dispersed into Chitosan/15Gelatin nanocomposites with different quantities. The obtained chitosan-based nanocomposites represented remarkable improvements in structural, morphological, mechanical, and thermal properties. Roughness increased from 74 nm to 6.4 nm, Young’s Modulus enhanced from 1.36 GPa to 2.99 GPa. The influence of dispersed CeO₄ZrNPs contents on the phase transition temperature (T _g) and the non-isothermal degradation processes of chitosan-based nanocomposites were examined using Differential Scanning Galorimetry (DSC) with different heating rates. Kinetic parameters of the thermal degradation for chitosan-based nanocomposites were evaluated using Kissinger-Akahira-Sunose (KAS) and Kissenger (KIS) procedures. Chitosan-based nanocomposites showed an increase in the thermal degradation temperature with higher activation energies, indicating improved thermal stability. Thermal analysis demonstrated that chitosan-based nanocomposites became more ordered by increasing CeO₄ZrNPs as inferred from the negative entropy increase. Moreover, the degradation of chitosan-based nanocomposites has been described as a non-spontaneous process. The resulting information is particularly important in applications in which there is a need to obtain chitosan nanocomposites with improved mechanical and thermal properties such as food packing industry.

Artificial neural network (ANN) approach, analysis of variance (ANOVA), and multiple regression model were developed to predict the wear rate for the aluminum (Al)-silicon (Si) alloy. These...

The aim of the present study is to investigate the corrosive wear behavior of Al–Si alloy-matrix composites reinforced by Al₂O₃ particles. The composites with 0, 10, 15, 20, and 25 wt % of Al₂O₃ were fabricated using stir-casting method. The corrosive wear test was carried out in 3.5% NaCl electrolyte at an indentor reciprocating speed of 10 and 15 cm/s on a corrosive wear machine. The microstructure of the Al‒Si alloy matrix and its composites was characterized using SEM and EDS methods of investigation. It was concluded that the corrosion resistance of Al–Si alloy-matrix composites under corrosive-wear was increased by increasing the weight % of Al₂O₃ reinforcements and decreased by increasing the sliding speed. Corrosive wear tests revealed that the corrosion potential shifted to the active side as compared with stagnant conditions.