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Bioaccumulation of persistent and hydrophobic organic compounds in the aquatic environment puts secondary consumers, such as fish, at risk. To assess their exposure, monitoring programs with high numbers of individuals have been conducted worldwide over decades that require major efforts and raise ethical issues. This study aimed at testing suspended particulate matter (SPM) as an alternative and accessible abiotic matrix to estimate the internal exposure concentrations of such chemicals in fish and mussels. Muscle tissues of bream (Abramis brama), tissues of zebra mussels (Dreissena polymorpha) and SPM were collected from four major German rivers, Elbe, Danube, Saar and Saale, in 2018 within the national monitoring program of the German Environmental Specimen Bank. We used (i) total solvent extraction for biota samples to quantify the lipid-normalized concentrations of polychlorinated biphenyls, polycyclic aromatic hydrocarbons and hexachlorobenzene and (ii) passive equilibrium sampling of SPM to derive equilibrium partitioning concentrations in lipids and (iii) set these independent data sets into context. Since the ratio of lipid-normalized concentration / equilibrium partitioning concentration in lipids was in most cases < 1.0, SPM may serve as a conservative proxy for the internal concentration of bream and mussels, although bream of high age (i.e., older than 10 years) showed a tendency for this ratio to exceed 1.0. This observation indicates that age-dependent biomagnification can exceed the predictions based on thermodynamic equilibrium relative to SPM.
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http://dx.doi.org/10.1016/j.ecoenv.2022.113285 | DOI Listing |
Phys Chem Chem Phys
September 2025
Department of Physics, Indian Institute of Technology Jodhpur, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan, 342030, India.
We report an anomalous temperature-induced transition in thermal conductivity in the germanene monolayer around a critical temperature = 350 K. Equilibrium molecular dynamics simulations reveal a transition from ∼ scaling below the to ∼ above, contrasting with conventional ∼ behavior. This anomalous scaling correlates with the long-scale characteristic timescale obtained from double exponential fitting of the heat current autocorrelation function.
View Article and Find Full Text PDFBiosens Bioelectron
September 2025
Cancer Research Institute, The First Affiliated Hospital, University of South China, Hengyang, 421001, PR China; State Key Laboratory of Chemo/Biosensing and Chemometrics, School of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, PR China. Electronic address:
A highly sensitive, selective, and simple method for detecting uranyl ions (UO) is crucial for human health and environmental safety. Amidoxime-based nanomaterials have been widely employed for UO detection, but their higher affinity for vanadium than UO limits their practical applications. Herein, a novel covalent organic polymer fluorescent probe (TT-COP) for UO detection was innovatively developed by a one-step Schiff-base condensation reaction between 3,3',5,5'-tetramethylbenzidine (TMB) and 2,4,6-triformylphloroglucinol (Tp).
View Article and Find Full Text PDFA variety of biomolecular systems rely on exploratory dynamics to reach target locations or states within a cell. Without a mechanism to remotely sense and move directly towards a target, the system must sample over many paths, often including resetting transitions back to the origin. We investigate how exploratory dynamics can confer an important functional benefit: the ability to respond to small changes in parameters with large shifts in the steady-state behavior.
View Article and Find Full Text PDFJ Biomed Opt
September 2025
Guangdong University of Technology, Institute of Advanced Photonics Technology, School of Information Engineering, Guangzhou, China.
Significance: Accurate cell classification is essential in disease diagnosis and drug screening. Three-dimensional (3D) voxel models derived from holographic tomography effectively capture the internal structural features of cells, enhancing classification accuracy. However, their high dimensionality leads to significant increases in data volume, computational complexity, processing time, and hardware costs, which limit their practical applicability.
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