The kinetics of the homogeneous and heterogeneous catalytic oxidation processes of three azo dyes in presence of copper (II) - ions, copper (II) - ions - supported on alumina and on zinc oxide as well as copper ammonia complex supported on alumina were investigated in aqueous solutions. The dyes are Chromotrope 2B (C2B), Chromotrope 2R (C2R) and Chrysophenen (CRY). The reaction progress was followed by monitoring the decrease in absorbance at ℷmax 512, 511 and 401 nm, respectively. The rate of reaction increased with increasing either the concentration of the dye or the catalyst, giving a plateau at high concentrations of the catalyst. On the other hand, the rate of reaction increased gradually with increasing hydrogen peroxide concentration attaining a maximum then decreased thereafter. The reaction rate was also increased with increasing pH and temperature and was found to be entropy controlled. This work could be applied for dye baths water reuse to reduce costs in textile and dyeing factories as will as for environmental purposes.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.saa.2019.117618 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
In vivo imaging of glycogen in human muscle.
Nat Commun
December 2024
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Probing regional glycogen metabolism in humans non-invasively has been challenging due to a lack of sensitive approaches. Here we studied human muscle glycogen dynamics post-exercise with a spatial resolution of millimeters and temporal resolution of minutes, using relayed nuclear Overhauser effect (glycoNOE) MRI. Data at 5T showed a homogeneous distribution of glycogen in resting muscle, with an average concentration of 99 ± 13 mM.
View Article and Find Full Text PDFElucidation of intragenomic variation of ribosomal DNA sequences in the enigmatic fungal genus Ceraceosorus, including a newly described species Ceraceosorus americanus.
IMA Fungus
December 2024
Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, USA.
Multicopy nuclear ribosomal DNA (rDNA) genes have been used as markers for fungal identification for three decades. The rDNA sequences in a genome are thought to be homogeneous due to concerted evolution. However, intragenomic variation of rDNA sequences has recently been observed in many fungi, which may make fungal identification and species abundance estimation based on these loci problematic.
View Article and Find Full Text PDFPrognostic and Predictive Biomarkers of Oligometastatic NSCLC: New Insights and Clinical Applications.
JTO Clin Res Rep
December 2024
Department of Pulmonary Diseases, GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
This review discusses the current data on predictive and prognostic biomarkers in oligometastatic NSCLC and discusses whether biomarkers identified in other stages and widespread metastatic disease can be extrapolated to the oligometastatic disease (OMD) setting. Research is underway to explore the prognostic and predictive value of biological attributes of tumor tissue, circulating cells, the tumor microenvironment, and imaging findings as biomarkers of oligometastatic NSCLC. Biomarkers that help define true OMD and predict outcomes are needed for patient selection for oligometastatic treatment, and to avoid futile treatments in patients that will not benefit from locoregional treatment.
View Article and Find Full Text PDFThe specific medications for pulmonary arterial hypertension at functional class III to IV: a systematic review and meta-analysis.
Front Med (Lausanne)
December 2024
Department of Cardiology, The University-Town Hospital of Chongqing Medical University, Chongqing, China.
Purpose: To systematically evaluate the clinical efficacy and safety of targeted drugs in patients with pulmonary arterial hypertension (PAH) with cardiac function grades III-IV, and conduct a meta-analysis.
Methods: Two researchers independently searched the PubMed, EMBASE, and Cochrane Library databases for relevant studies, with the search period extending from the establishment of the databases to March 2024. Meta-analysis was performed using statistical software Review Manager 5.
Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning.
Front Microbiol
December 2024
Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Aim: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), the sacrospinalis muscle, and all abdominal musculature at the L3-L5 vertebral level from non-contrast computed tomography (CT) imagery using deep learning algorithms. Subsequently, radiomic features are collected from these segmented images and subjected to medical interpretation.
Materials And Methods: This retrospective analysis includes a cohort of 315 patients diagnosed with acute necrotizing pancreatitis (ANP) who had undergone comprehensive whole-abdomen CT scans.
Want 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!