In this study we test the sensitivity of three sizes of golden mussel (Limnoperna fortunei), an introduced species in Argentina, to a 96-h exposure to [Formula: see text], [Formula: see text], and [Formula: see text]. We also analysed the relative sensitivity of L. fortunei compared to other freshwater bivalve equivalent sensitivity data. The ANOVA results showed that both factors, heavy metal and size, had significant effects (p = 0.0013 and p = 0.0091, respectively) on the mortality of the golden mussel. Tukey's test showed significant differences for [Formula: see text] treatment and the smallest size class (7 mm [Formula: see text]). The relative sensitivity analysis showed that [Formula: see text] values for the smallest size class of L. fortunei exposed to [Formula: see text] and [Formula: see text] were in the low range, with values of 11.40 mg/L and 12.65 mg/L, respectively. In the case of [Formula: see text] (1.66 mg/L), its [Formula: see text] was in the medium-low range of the freshwater bivalve sensitivity distribution.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00128-020-02854-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Temperature-dependent pathways in carbon dioxide electroreduction.
Sci Bull (Beijing)
January 2025
Beijing National Laboratory for Molecular Sciences, CAS Laboratory of Colloid and Interface and Thermodynamics, CAS Research/Education Centre for Excellence in Molecular Sciences, Centre for Carbon Neutral Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; School of Chemistry, University of Chinese Academy of Sciences, Beijing 100049, China; Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China. Electronic address:
Temperature affects both the thermodynamics of intermediate adsorption and the kinetics of elementary reactions. Despite its extensive study in thermocatalysis, temperature effect is typically overlooked in electrocatalysis. This study investigates how electrolyte temperature influences CO electroreduction over Cu catalysts.
View Article and Find Full Text PDFPhase transitions, Dirac and Weyl semimetal states in MnGeBiTe.
Sci Rep
January 2025
Saint Petersburg State University, St. Petersburg, 198504, Russia.
Using angle-resolved photoemission spectroscopy (ARPES) and density functional theory (DFT), an experimental and theoretical study of changes in the electronic structure (dispersion dependencies) and corresponding modification of the energy band gap at the Dirac point (DP) for topological insulator (TI) [Formula: see text] have been carried out with gradual replacement of magnetic Mn atoms by non-magnetic Ge atoms when concentration of the latter was varied from 10% to 75%. It was shown that when Ge concentration increases, the bulk band gap decreases and reaches zero plateau in the concentration range of 45-60% while trivial surface states (TrSS) are present and exhibit an energy splitting of 100 and 70 meV in different types of measurements. It was also shown that TSS disappear from the measured band dispersions at a Ge concentration of about 40%.
View Article and Find Full Text PDFA python approach for prediction of physicochemical properties of anti-arrhythmia drugs using topological descriptors.
Sci Rep
January 2025
Department of Mathematical Sciences, Faculty of Science, Somali National University, Mogadishu Campus, Mogadishu, Somalia.
In recent years, machine learning has gained substantial attention for its ability to predict complex chemical and biological properties, including those of pharmaceutical compounds. This study proposes a machine learning-based quantitative structure-property relationship (QSPR) model for predicting the physicochemical properties of anti-arrhythmia drugs using topological descriptors. Anti-arrhythmic drug development is challenging due to the complex relationship between chemical structure and drug efficacy.
View Article and Find Full Text PDFSecure IoT data dissemination with blockchain and transfer learning techniques.
Sci Rep
January 2025
Torrens University Australia, Fortitude Valley, QLD 4006, Leaders Institute, 76 Park Road, Woolloongabba, QLD 4102, Brisbane, Queensland, Australia.
Article Synopsis
- Streaming IoT data is crucial for building trust in sustainable IoT solutions, but current systems often face issues with reliability, security, and transparency due to their centralized structures.
- The research introduces TraVel, a framework that uses blockchain and transfer learning to improve the security of IoT data management, utilizing decentralized IPFS for data storage and a private Ethereum blockchain for enhanced data integrity.
- TraVel implements self-executing smart contracts for access control and uses an adversarial domain adaptation model to filter out malicious data, ensuring only validated data is stored, with successful performance shown in simulations.
Association between five novel anthropometric indices and erectile dysfunction in US adults from NHANES database.
Sci Rep
January 2025
TCM gynecology department, Foshan Fosun Chancheng Hospital, Chancheng District, Foshan, Guangdong Province, China.
Erectile Dysfunction (ED) is the leading cause of sexual dysfunction affecting hundreds of millions of men worldwide, and has been described as an important public health problem. The association of five novel anthropometrics related to obesity, lipids and glucose with ED remains unclear. To investigate the association of lipid accumulation products index (LAP), triglyceride glucose index (TyG), waist triglyceride index (WTI), weight-adjusted-waist index (WWI) and a body shape index (ABSI) with ED.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!