86 research outputs found

    Assess and reduce toxic chemicals in bioplastics

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    Assess and reduce toxic chemicals in bioplastics To promote a circular economy and mitigate pollution, the bioplastics industry has begun to phase out polymers derived from petrochemicals (1–3). This action is a positive step, but it doesn’t affect the many bioplastics on the market, which also contain potentially harmful additives. Given that bioplastics will likely replace polymers, it is crucial to determine which bioplastics cause the least harm. Components of bioplastics can leak into the environment. After disposal, weathering and ultraviolet degradation lead to additional release of chemicals (4). When determining the safety of plastic materials, it is important to consider that such leakage could have adverse effects on ecosystems, wildlife, and humans (5–8). Discarded plastics often end up in the ocean, where chemicals leaking into the aqueous environment are toxic to marine life. Additives such as phthalates from starch- and cellulose-based bioplastics can also leak into marine environments through wastewater and runoff from landfills. The chemicals affect bioluminescent bacteria and the development of sea urchin larvae (5–7). Bio-cups, bio-polyethylene bottles, and bioplastic supermarket bags are produced with polylactide (PLA), a polyester derived from renewable biomass. PLA contains chemicals of emerging concern (CECs), such as bisphenol A, that cause dose-dependent increases of malformed mussel larvae (8). More information about the CECs in bioplastics is urgently needed. No protocols are available to characterize either the chemicals or the leachate of chemicals from conventional and bio-based plastics (9), making evidence-based, environmentally responsible management impossible. Manufacturers of plastic items and their consultants should be required to test for molecular, organismal, and population-level effects and make public the risks of each type of both conventional plastic and bioplastic (10). Integrated chemical and biological approaches should be used to assess the risks associated with low-level exposures to CECs released by bioplastics as well as their possible combined effects in mixtures. Assessing the toxicity of CECs that migrate from bioplastics into the surrounding environment could help determine how to prevent unexpected adverse health outcomes (11). Instead of replacing one harmful material with another, the bioplastic industry and researchers should work together to identify the safest and most sustainable plastic alternatives (6). Creating and prioritizing the production of nontoxic materials with a low carbon footprint could lead to a reduced need for landfills and less ocean plastic waste

    Self-Activatin Process to Fabricate Activated Carbon from Kenaf

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    Self-activation takes advantage of the gases emitted from the pyrolysis process of biomass to activate the converted carbon, so that a high performance activated carbon is obtained. Kenaf fiber, one type of biomass, was self-activated into activated carbon. The Brunauer–Emmett–Teller (BET) specific surface area (SABET) of non-activation and self-activation pyrolyzed at 1100°C for 2 hours were analyzed and obtained as 252 m2/g and 1,280 m2/g, respectively, with 408% difference. The results showed that the highest SABET (1,616 m2/g) was achieved when a kenaf fiber was pyrolyzed at 1,000°C for 15 hours. A linear relationship was shown between the ln(SABET) and the yield of kenaf fiber based activated carbon through the self-activation process. The study also showed that a yield of 9.0% gave the highest surface area by gram kenaf fiber (80 m2 per gram kenaf fiber), and the yields between 7.2 – 13.8% produced a surface area per gram kenaf fiber that was higher than 95% of the maximum surface area by gram kenaf fiber

    Lithium battery parameter identification and SOC estimation based on dual-polarized model

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    An equivalent circuit model of dual polarization (DP) of lithium battery was established according to the application characteristics of lithium battery under the standby condition of 5G base station. On the basis of the model, recursive least square method with forgetting factor (RLS) was used to identify the model parameters. Finally, the Unscented Kalman filtering (UKF) was used to estimate the SOC of lithium battery in real time with the identified model parameters. The simulation and experimental results showed that the combined estimation using recursive least square method with forgetting factor (RLS) and UKF could greatly improve the estimation accuracy of lithium battery SOC, reduce the estimation error, and further verify the accuracy and effectiveness of the whole modeling

    Application of Nano-SiO2 Reinforced Urea-Formaldehyde Resin and Molecular Dynamics Simulation Study

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    Nano-SiO2 is a typical modifier used for urea-formaldehyde (UF) resins to balance the reduced formaldehyde content and maintain bond strength. However, the microstructure of UF resin and the interaction between UF resin and nano-SiO2 are microscopic phenomena; it is difficult to observe and study its intrinsic mechanism in traditional experimental tests. In this work, the enhancement mechanism was explored by molecular dynamics simulations combined with an experiment of the effect of nano-SiO2 additions on UF resin. The results showed that the best performance enhancement of UF resin was achieved when the addition of nano-SiO2 was 3 wt%. The effects caused by different additions of nano-SiO2 were compared and analyzed by molecular dynamics simulations in terms of free volume fraction, the radius of gyration, and mechanical properties, and the results were in agreement with the experimental values. Meanwhile, the changes in hydrogen bonding and radial distribution functions in these systems were counted to explore the interaction between nano-SiO2 and UF resin. The properties of the UF resin were enhanced mainly through the large number of different forms of hydrogen bonds with nano-SiO2, with the strongest hydrogen bond occurring between H(SiO2)… O = (PHMU)

    Sustainable Supercapacitor Electrode Based on Activated Biochar Derived from Preserved Wood Waste

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    Due to the inherent metals (Cu, As and Cr) in preserved wood waste (CCA-treated wood waste) that pose a risk to both the environment and human health, it is crucial to dispose of CCA-treated wood properly. Carbon materials have received widespread attention for their high porosity, renewability and simplicity of fabrication. This work presents a simple and effective process for producing carbon materials from leftover CCA-treated wood (chromated copper arsenate). Utilizing CCA-treated wood derived carbon (CCA-BC) and activating it with KOH (CCA-AC), electrode materials for supercapacitor applications were created and its electrochemical characteristics were investigated. The resulting material combines the conductivity of the metal in preserved wood with the good porosity provided by carbon materials. Compared with common wood biomass, carbon (W-BC) and common wood activated carbon (W-AC), CCA-BC and CCA-AC have better electrochemical properties. After being pyrolyzed at 600 °C for two hours, CCA-AC performed optimally electrochemically in 1 M Na2SO4 electrolyte, demonstrating a 72% capacity retention rate after 2000 charge and discharge cycles and a specific capacity of 76.7 F/g. This study provides a novel approach for the manufacture of supercapacitor electrodes, which also allows preserved wood waste an environmentally nondestructive form of elimination
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