Polypeptide antibiotics (PPAs), silver nanoparticles (plural) (AgNP) and quorum sensing inhibitors (QSIs) are considered to be the ideal antibiotic substitutes. Due to the great potential for the combined use of these antibacterial agents, it is necessary to evaluate their joint effects. In this study, the joint toxic actions for the binary mixtures of PPA + PPA, PPA + AgNP, and PPA + QSI were judged via the independent action (IA) model based on the individual and combined toxicity of test agents to the bioluminescence of Aliivibrio fischeri during 24 h. It was observed that the single agents (PPAs, AgNP, and QSI) and the binary mixtures (PPA + PPA, PPA + AgNP, and PPA + QSI) all triggered the time-dependent hormetic effects on the bioluminescence, where the maximum stimulatory rate, the median effective concentration, and the occurrence of hormesis varied with the increase of time. While bacitracin triggered the maximum stimulatory rate (266.98 % at 8 h) among the single agents, the mixture of capreomycin sulfate and 2-Pyrrolidinone induced the maximum stimulatory rate (262.21 % at 4 h) among the binary mixtures. The cross-phenomenon that the dose-response curve of mixture crossed the corresponding IA curve was observed in all treatments, which also varied with time, exhibiting that the joint toxic actions and corresponding intensities possessed dose- and time-dependent features. Furthermore, three kinds of binary mixtures resulted in three different variation tendencies for the time-dependent cross-phenomena. Mechanistic speculation indicated that test agents possessed the stimulatory modes of action (MOAs) at low-dose and inhibitory MOAs at high-dose to induce the hormetic effects, and the interplays between these MOAs varied with time to trigger the time-dependent cross-phenomenon. This study provides the reference data for the joint effects of PPAs and typical antibacterial agents, which will benefit the application of hormesis in the exploration of time-dependent cross-phenomenon and promote the future development of environmental risk assessment of pollutant mixtures.
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http://dx.doi.org/10.1016/j.scitotenv.2023.164343 | DOI Listing |
Dalton Trans
January 2025
College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi Province, China.
The physical separation of CH from CO on metal-organic frameworks (MOFs) has received a substantial amount of research interest due to its advantages of simplicity, security, and energy efficiency. However, the exploitation of ideal MOF adsorbents for CH/CO separation remains a challenging task due to their similar physical properties and molecular sizes. Herein, we report a unique CH nano-trap constructed using accessible oxygen and nitrogen sites, which exhibits energetic favorability toward CH molecules.
View Article and Find Full Text PDFMater Horiz
January 2025
Institute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu 610031, China.
Sci Total Environ
January 2025
Laboratoire National d'Hydraulique et Environnement (LNHE), Division Recherche et Développement, Electricité de France (EDF), 6 Quai de Watier, 78401 Chatou Cedex 01, France.
This paper aims to test several modeling approaches for predicting toxicity of binary mixtures with potential synergy and antagonism. The approach based on the construction of isoboles was first tested and criticized. In contrast to conventional approaches, and in order to be mathematically consistent with the additivity assumptions, non-linear isoboles have been constructed.
View Article and Find Full Text PDFEnviron Toxicol Chem
January 2025
School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, PR China.
In silico methods are increasingly important in predicting the ecotoxicity of engineered nanomaterials (ENMs), encompassing both individual and mixture toxicity predictions. It is widely recognized that ENMs trigger oxidative stress effects by generating intracellular reactive oxygen species (ROS), serving as a key mechanism in their cytotoxicity studies. However, existing in silico methods still face significant challenges in predicting the oxidative stress effects induced by ENMs.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Centre for Lasers & Photonics, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India.
Nonideality in a binary solvent mixture is manifested through anomalies in various physical properties like viscosity, dielectric constant, polarity, freezing point, boiling point, and so forth. Sometimes, such anomalies become much more prominent, leading to a synergistic behavior, where the physical property of the mixture is way different from its bulk counterparts. Various alcohols/chlorinated methane binary solvent mixtures show such a synergistic behavior.
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