Estradiol ELISA Kit

The discharge and consequent occurrence of antibiotics in the environment has led to increasing concerns because their presence can promote the development of resistance genes, which in turn pose a significant health risk. A key process to control the transport and risk of antibiotics is adsorption. Thus, we investigated the adsorption mechanisms of six typical antibiotics onto a MnFe2O4@cellulose activated carbon (CAC) hybrid combining batch adsorption experiments and quantum chemical calculations. In the single-adsorbate adsorption systems, the solid-phase concentrations of the adsorbates varied from 152.8 to 395.7 mg/g, which were dependent on the adsorption affinity and molecular structures or sizes of the antibiotics. Chemisorption was the main adsorption mechanism, and it was driven by p-d electronic conjugation and cation-n interactions. In the competitive adsorption systems, the solid-phase concentrations of both primary (sulfamethazi ne, SMT) and secondary (the other five antibiotics) adsorbates decreased significantly. The decrease ratio of SMT varied from 15.42% to 67.28% while that of the secondary adsorbates varied from 14.13% to 52.74%. The "competition" strength was depended on the adsorption energy and the overlapping of adsorption sites. We believe that these findings will provide a better understanding of the adsorption characteristics of typical antibiotics and facilitate the strategy developing for the removal of antibiotics from the aqueous phase. (C) 2020 Elsevier B.V. All rights reserved.

Smoltification and early seawater phase are critical developmental periods with physiological and biochemical changes in Atlantic salmon that facilitates survival in saltwater. MicroRNAs (miRNAs) are known to have important roles in development, but whether any miRNAs are involved in regulation of gene expression during smoltification and the adaption to seawater is largely unknown. Here, small RNA sequencing of materials from head kidney before, during smoltification and post seawater transfer were used to study expression dynamics of miRNAs, while microarray analysis was applied to study mRNA expression dynamics. Comparing all timepoints, 71 miRNAs and 2709 mRNAs were identified as differentially expressed (DE). Hierarchical clustering analysis of the DE miRNAs showed three major clusters with characteristic expression changes. Eighty-one DE mRNAs revealed negatively correlated expression patterns to DE miRNAs in Cluster I and III. Furthermore, 42 of these mRNAs were predicted as DE miRNA targets. Gene enrichment analysis of negatively correlated target genes showed they were enriched in gene ontology groups hormone biosynthesis, stress management, immune response, and ion transport. The results strongly indicate that post-transcriptional regulation of gene expression by miRNAs is important in smoltification and sea water adaption, and this study identifies several putative miRNA-target pairs for further functional studies.