Recent studies revealed the benefits of oligotrophic and oxic conditions for the biological removal of many trace organic chemicals (TOrCs) during soil-aquifer treatment. These findings indicate an unused tuning potential that might also be applicable in engineered biofiltration systems with drastically reduced hydraulic retention times for an enhanced mitigation of TOrCs during wastewater treatment. This study introduces the novel approach of sequential biofiltration (SBF) for the advanced treatment of secondary effluent using two granular media filters operated in series with an intermediate aeration step aiming for oxic and oligotrophic conditions in the second filter stage. Results from the experiments conducted at pilot-scale confirm a reduced substrate availability and predominantly oxic conditions in the second filter stage of the SBF setup. An increased removal of several TOrCs was observed in an SBF system as compared to a conventional single-stage biofiltration unit operated at the same overall empty bed contact time (EBCT). Short-term tests with varying EBCTs in the first filter stage revealed a high degree of system robustness of TOrC mitigation when confronted with sudden hydraulic load variations. Higher removal of several TOrCs at increased EBCTs in the second filter stage indicates that EBCT might play a crucial role for the degradation of certain compounds.
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http://dx.doi.org/10.1016/j.watres.2017.10.009 | DOI Listing |
Sci Rep
January 2025
Department of Physics, TU Dortmund University, Otto-Hahn-Straße 4, 44227, Dortmund, Germany.
Time-resolved momentum microscopy is an emerging technique based on photoelectron spectroscopy for characterizing ultrafast electron dynamics and the out-of-equilibrium electronic structure of materials in the entire Brillouin zone with high efficiency. In this article, we introduce a setup for time-resolved momentum microscopy based on an energy-filtered momentum microscope coupled to a custom-made high-harmonic generation photon source driven by a multi-100 kHz commercial Yb-ultrafast laser that delivers fs pulses in the extreme ultraviolet range. The laser setup includes a nonlinear pulse compression stage employing spectral broadening in a Herriott-type bulk-based multi-pass cell.
View Article and Find Full Text PDFPlant Dis
January 2025
Institute of Plant Protection, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, China;
Astragalus mongholicus is a perennial Chinese medicinal herb in the family Leguminosae widely cultivated in China. In September 2023, A. mongholicus plants in a field in Weiyuan County, Gansu Province, showed symptoms of circular or irregular brown, sunken and necrotic lesions, multiple lesions coalesced, and brown longitudinal cracks in the roots.
View Article and Find Full Text PDFHeliyon
January 2025
Laboratory of Brain Aging and Neurodegeneration, Fundación Instituto Leloir, IIBBA-CONICET, Av. Patricias Argentinas 435, Ciudad Autónoma de Buenos Aires, Argentina.
Inflammation and angiogenesis have been defined as potential mechanisms associated with clinical progression from a cognitively normal state to Alzheimer's disease (AD). In this observational case-control study, we aimed to determine plasma levels of cytokines as indicators of inflammation involved in cognitive decline. We measured 30 plasma proteins in 49 controls (CTL), 36 individuals with mild cognitive impairment (MCI) and 52 patients diagnosed with probable AD.
View Article and Find Full Text PDFRSC Adv
January 2025
Centre for Advanced Materials and Devices (CAMD), Department of Chemistry, Faculty of Science, University of Colombo Colombo Sri Lanka
The global scarcity of irrigation-grade water poses severe concerns in the agricultural sector. Desalination techniques including reverse osmosis, electrodialysis, capacitive deionization, membrane filtration, and multi-stage flash are some dynamic solutions to mitigate this challenge. In this study, novel bio-filter materials were explored and developed for the application of membrane-based electrodialysis.
View Article and Find Full Text PDFComput Stat
September 2024
Department of Statistics, Purdue University, West Lafayette, IN 47907.
State estimation for large-scale non-Gaussian dynamic systems remains an unresolved issue, given nonscalability of the existing particle filter algorithms. To address this issue, this paper extends the Langevinized ensemble Kalman filter (LEnKF) algorithm to non-Gaussian dynamic systems by introducing a latent Gaussian measurement variable to the dynamic system. The extended LEnKF algorithm can converge to the right filtering distribution as the number of stages become large, while inheriting the scalability of the LEnKF algorithm with respect to the sample size and state dimension.
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