Preparation of ultrafiltration membrane from discarded polyethylene terephthalate bottles.

In this study, the polymeric membranes were prepared using discarded polyethylene terephthalate (PET) bottles. The fabrication of the membrane process was carried out using a dope solution composed of polyethylene terephthalate (polymer), O-cresol (as a solvent), and polyethylene glycol 400 (as an additive). The solubility parameters were studied to dissolve the polymer into the solvent at a specific temperature. The melt flow index and thermal analysis were evaluated for the discarded bottles and prepared membranes to ensure the quality and thermal stability of the PET. The porosity of the membranes was determined using scanning electron microscopy. The temperature required to prepare the dope solution was 80 °C with a stirring speed of 350 rpm. Non-solvent-induced phase separation method was used to fabricate the membranes. The coagulation bath was composed of a water-ethanol mixture. The porosity of the prepared membranes ranges between 30 and 50%. The contact angle was determined for the membrane in the range of 40° to 80°. The flux of the membranes was evaluated using membrane testing cell at a specified pressure which ranges from 80 to 150 Lm-2 h-1. The prepared membranes could be used in various industries like dairy, pharmaceutical, juice, and beverages to separate temperature-sensitive substances.

Recent advances in conducting polymer-based magnetic nanosorbents for dyes and heavy metal removal: fabrication, applications, and perspective.

Globally, treating and disposing of industrial pollutants is a techno-economic challenge. Industries' large production of harmful heavy metal ions (HMIs) and dyes and inappropriate disposal worsen water contamination. Much attention is required on the development of efficient and cost-effective technologies and approaches for removing toxic HMIs and dyes from wastewater as they pose a severe threat to public health and aquatic ecosystems. Due to the proven superiority of adsorption over other alternative methods, various nanosorbents have been developed for the efficient removal of HMIs and dyes from wastewater and aqueous solutions. Being a good adsorbent, conducting polymer-based magnetic nanocomposites (CP-MNCPs) has drawn more attention for HMIs and dye removal. Conductive polymers' pH-responsiveness makes CP-MNCP ideal for wastewater treatment. The composite material absorbed dyes and/or HMIs from contaminated water could be removed by changing the pH. Here, we review the production strategies and applications of CP-MNCPs for HMIs and dye removal. The review also sheds light on the adsorption mechanism, adsorption efficiency, kinetic and adsorption models, and regeneration capacity of the various CP-MNCPs. To date, various modifications to conducting polymers (CPs) have been explored to improve the adsorption properties. It is evident from the literature survey that the combination of SiO2, graphene oxide (GO), and multi-walled carbon nanotubes (MWCNTs) with CPs-MNCPs enhances the adsorption capacity of nanocomposites to a large extent, so future research should lean toward the development of cost-effective hybrid CPs-nanocomposites.

Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser.

In flowing medium Chemical Oxygen Iodine Laser (COIL), Singlet oxygen is produced by the exothermic reaction of basic hydrogen peroxide solution and chlorine gas. It pumps the iodine and lasing process takes place by stimulated emission. Laser power is extracted using cavity. Development of customized data acquisition system is essential for measurements and analysis of both fundamental (temperature, pressure, level) as well as derived parameters (lasing medium concentration, flow rates of gases and laser power). The focus of the present paper is to dwell on uncertainty evaluation of a complex gas laser source in terms of ascertaining influences of primary/fundamental variables and corresponding derived parameters along with manner of uncertainty propagation. The study facilitates determining the variables with most significant impact on system performance, critical form point of view from optimal functioning of large-scale systems. This enables prediction of overall system uncertainty potentially extendable to other similar laser systems involving subsystems with mutual interdependencies together being distributed over a significantly large laboratory space. The relative combined uncertainty is computed to be 8.3%. The methodology shows significant potential for true decision-making and control of realistic gas laser source operation using developed 150 channel Data Acquisition and Analysis System (DAAS).