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Multi-solvent co-contamination is a common phenomenon found in organically contaminated groundwater. A mathematical approach based on multi-level substrate interactions was developed to describe the microbial growth and the corresponding biodegradation of highly chlorinated ethenes (CEs) in the presence of the co-contaminant BTEX. The Reactive Transport in 3 Dimensions (RT3D) model was applied to integrate proposed mathematical model into reactive transport framework. With benzene and PCE as target contaminants, the most influential interaction mechanisms on microbial growth, the corresponding substrate depletion, and the contaminant plume elongation were evaluated. The results revealed that the calculations based on the parameter values identified by the Markov chain Monte Carlo (MCMC) procedure exhibited strong agreement with the microcosm observations (R > 85 %). The simulations accurately reproduced the trends observed in the microcosm studies of the accelerated PCE consumption with low concentrations of benzene and the inhibited PCE utilization with high concentrations of benzene. Fortuitous catalytic degradation based on enzymatic reactions was derived to be the main mechanism affecting the extension of the PCE plume. The proposed approach offers valuable insights into microbial population dynamics and associated substrate depletion in commingled plumes and is expected to serve as a useful tool for studying the bioremediation of commonly occurring co-contaminated groundwater.
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http://dx.doi.org/10.1016/j.jhazmat.2025.137929 | DOI Listing |
Biosensors (Basel)
August 2025
State Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Sweat-based electrochemical sensors for wearable applications have attracted substantial interest due to their non-invasive nature, compact design, and ability to provide real-time data. Remarkable advancements have been made in integrating these devices into flexible platforms. While thin-film polymer substrates are frequently employed for their durability, the prolonged buildup of sweat on such materials can disrupt consistent sensing performance and adversely affect skin comfort over extended periods.
View Article and Find Full Text PDFGlycobiology
August 2025
Department of Biochemistry, Duke University School of Medicine, Box 3711 DUMC, Durham, NC 27710, United States.
The 42-member Kelch-like (KLHL) protein family are adaptors for ubiquitin E3 ligase complexes, governing the stability of a wide range of substrates. KLHL proteins are critical for maintaining proteostasis in a variety of tissues and are mutated in human diseases, including cancer, neurodegeneration, and familial hyperkalemic hypertension. However, the regulation of KLHL proteins remains incompletely understood.
View Article and Find Full Text PDFNanotechnology
August 2025
College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, People's Republic of China.
Antibiotic contamination threatens global water security and public health. Peroxymonosulfate (PMS) activation provides an environmentally sustainable approach for water remediation, but conventional cobalt-based catalysts face low atomic utilization and metal leaching issues. Herein, we developed a novel a CoMg/HMTA composite through a one-step hydrothermal method using hexamethylenetetramine (HMTA) and magnesium salts enable the dispersion of cobalt nanosheets on MgO(CO)substrates.
View Article and Find Full Text PDFFront Neurosci
June 2025
College of Information and Communication Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
In this study, we present a mixed-signal framework that utilizes MRAM (Magneto-resistive Random Access Memory) technology to emulate behaviors observed in biological neural networks on silicon substrates. While modern technology increasingly draws inspiration from biological neural networks, fully understanding these complex systems remains a significant challenge. Our framework integrates multi-bit MRAM synapse arrays and analog circuits to replicate essential neural functions, including Leaky Integrate and Fire (LIF) dynamics, Excitatory and Inhibitory Postsynaptic Potentials (EPSP and IPSP), the refractory period, and the lateral inhibition.
View Article and Find Full Text PDFInsect Biochem Mol Biol
August 2025
State Key Laboratory of Agriculture and Forestry Biosecurity, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 35002, China; International Joint Research Laboratory of Ecological Pest Control, Mi
Understanding the molecular mechanisms underlying temperature adaptation in agricultural pests is crucial for predicting their evolutionary responses to climate change. Here, we investigate the role of juvenile hormone esterase gene PxJHE in temperature adaptation of Plutella xylostella, a globally distributed pest. Spatial-temporal expression patterns demonstrates significantly reduced PxJHE transcript levels in hot-evolved (HS), and cold-evolved (CS) strains across all tested temperatures compared to ancestral strain (AS).
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