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An integrated model of a two-step process for the ex situ bioremediation of xenobiotic contaminated soil has been formulated. The process is characterized by an initial extraction step of the organic contaminants from the polluted soil by contact with inexpensive and commercially-available polymer beads, followed by release and biodegradation of the xenobiotics, with parallel polymer bioregeneration, in a Two-Phase Partitioning Bioreactor (TPPB). The regenerated polymer is cyclically reused in the extraction step, so reflecting the robust and otherwise-inert properties of such polymers. The model was calibrated and validated for a soil contaminated with 4-nitrophenol (4NP) and treated with the DuPont polymer Hytrel 8206. In the model calibration, the partition coefficient polymer-soil, P, and the mass transfer coefficient, K, were evaluated, as 105.3 and 0.24 h respectively. A diffusion coefficient within the polymer of 6.3 10 cm s was determined from the fitting of sorption/desorption data. The model was then tested for two alternative process configurations consisting of either one or two soil extraction units, followed by the biodegradation/bioregeneration step. The latter configuration resulted in more effective polymer utilization and is suitable if each extraction step requires a shorter time than the regeneration step. The model predicted that an extraction time of 12 h was sufficient to reach removal efficiencies ≥90% while the biodegradation/bioregeneration step required 24 h to reach efficiencies ≥93%, with a good agreement with experimental data (R > 0.98 for both cases). The simulation of the process operated with two extraction units showed a better performance with a final concentration ∼0.2 g kg vs. 1.69 g kg obtained with single extraction unit, for a soil contaminated with 10 g kg. Corresponding extraction efficiencies were 96 and 83%, respectively.
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http://dx.doi.org/10.1016/j.jenvman.2018.09.045 | DOI Listing |
Environ Sci Pollut Res Int
September 2025
School of Chemical Engineering, State University of Campinas-Universidade Estadual de Campinas, Albert Einstein Av., 500, Campinas, SP, 13083-852, Brazil.
Bisphenol A (BPA) is a persistent organic pollutant with toxic effects on human health and ecosystems. In this study, the performance of MWCNT-OH functionalized with iron nanoparticles (MWCNT-OH@Fe) using sugarcane bagasse extract as a reducing agent (green synthesis) was evaluated for BPA adsorption. The kinetics are fast, between 10 and 20 min in the range of concentrations evaluated and the resistance to external film diffusion (external film mass transfer) identified as the rate-limiting step of the process.
View Article and Find Full Text PDFChemSusChem
September 2025
Institute of Technical and Macromolecular Chemistry, University of Hamburg, Bundesstraße 45, 20146, Hamburg, Germany.
This article presents an advanced iteration of the polyoxometalate (POM)-Ionosolv concept to generate biobased methyl formate in high yield and a bleached cellulose pulp from lignocellulosic biomass in a single-step operation by using redox-balanced POM catalysts and molecular oxygen in alcoholic ionic liquid (IL) mixtures. The performance of the three Ionosolv-ILs triethylammonium hydrogen sulfate ([TEA][HSO]), N,N-dimethylbutylammonium hydrogen sulfate ([DMBA][HSO4]), and tributylmethylphosphonium methyl sulfate ([TBMP][MeSO]), mixed with methanol (MeOH) (30/70 wt%), is evaluated by methyl formate yield from extracted hemicellulose and lignin as well as purity of the bleached cellulose pulp in the presence of various Keggin-type POMs. The redox-balanced HPVMnMoO POM catalyst in [TBMP][MeSO]/MeOH emerge as the most effective combination, achieving 20% methyl formate yield from commercial beech wood.
View Article and Find Full Text PDFRSC Adv
September 2025
Food and Drug Safety Research Center, Pharmaceutical Sciences Institute, Tabriz University of Medical Sciences Tabriz Iran.
This study focuses on developing an analytical method to efficiently extract and concentrate several adipate and phthalate plasticizers that can migrate from plastic packaging into various wound disinfectants. The study employed an approach that combined dispersive micro solid phase extraction with dispersive liquid-liquid microextraction using ZIF-4 as an adsorbent. The adsorbent was thoroughly characterized to understand its properties.
View Article and Find Full Text PDFBiomed Phys Eng Express
September 2025
electrical engineering department, Indian Institute of Technology Roorkee, Research wing, electrical department, Roorkee, uttrakhand, 247664, INDIA.
Imagined speech classification involves decoding brain signals to recognize verbalized thoughts or intentions without actual speech production. This technology has significant implications for individuals with speech impairments, offering a means to communicate through neural signals. The prime objective of this work is to propose an innovative machine learning (ML) based classification methodology that combines electroencephalogram (EEG) data augmentation using a sliding window technique with statistical feature extraction from the amplitude and phase spectrum of frequency domain EEG segments.
View Article and Find Full Text PDFJ Environ Manage
September 2025
School of Minerals Processing & Bioengineering, Central South University, Changsha, 410083, China. Electronic address:
The safe disposal of heavy metal elements (Pb, Zn, Cu, etc.) in copper smelting slag and efficient treatment of phosphogypsum are urgent. To explore the feasibility of co-processing copper smelting slag and phosphogypsum, this study used PbO and CaSO as raw materials to investigate the sulfidation roasting process and flotation separation of roasted products.
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