The present study focused on the application of response surface methodology to optimize the fabrication of activated carbon (AC) from sugarcane bagasse for adsorption of Cu ion. The AC was synthesized via chemical activation with ZnCl as the activating agent. The central composite design based experiments were performed to assess the individual and interactive effect of influential parameters, including activation temperature, ZnCl impregnation ratio and activation time on the AC yield and removal of Cu ion from the aqueous environment. The statistically significant, well-fitting quadratic regression models were successfully developed as confirmed by high F- and low P-values (<0.0001), high correlation coefficients and lack-of-fit tests. Accordingly, the optimum AC yield and removal efficiency of Cu were predicted, respectively, as 48.8% and 92.7% which were approximate to the actual values. By applying the predicted optimal parameters, the AC shows a surprisingly high surface area of around 1,500 m/g accompanied by large pore volume and narrow micropore size at low fabrication temperature.

Download full-text PDF

Source
http://dx.doi.org/10.2166/wst.2017.066DOI Listing

Publication Analysis

Top Keywords

application response
8
response surface
8
surface methodology
8
methodology optimize
8
optimize fabrication
8
carbon sugarcane
8
sugarcane bagasse
8
fabrication zncl-activated
4
zncl-activated carbon
4
bagasse removal
4

Similar Publications

AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.

J Med Internet Res

January 2025

Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.

There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.

View Article and Find Full Text PDF

Rational engineering of a recognition group to construct a two-photon reaction-based fluorescent probe for rapid and selective sensing of cysteine.

Analyst

January 2025

Anhui Provincial Key Laboratory of Biomedical Materials and Chemical Measurement, Laboratory of Functionalized Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, P. R. China.

It is highly required to rationally design fluorescent probes a molecular engineering strategy with desired analytical performance for applications in sensing and imaging. Reaction-based fluorescent probes for highly selective sensing of cysteine (Cys) are mainly based on the participation of Cys in reactions such as, addition-cyclization with acrylates, cyclization with aldehydes, coordination displacement, Michael addition reactions, and cleavage reactions. Cys-triggered reactions with the O atoms of ether bonds has also been used to construct reaction-based fluorescent probes based on the substitution of the ether with the nucleophilic thiolate of Cys.

View Article and Find Full Text PDF

Oncolytic viruses represent a promising class of immunotherapeutic agents for the treatment of malignant tumors. The proposed mechanism of action of various oncolytic viruses has initially been explained by the ability of such viruses to selectively lyse tumor cells without damaging healthy ones. Recently, there have emerged more studies determining the effect of the antiviral immunostimulating mechanisms on the effectiveness of treatment in cancer patients.

View Article and Find Full Text PDF

Insights into the adsorption mechanisms of VOCs molecules on non-oxidized and oxidized SnO (110) monolayer: DFT analysis.

J Mol Model

January 2025

Laboratory of Nanostructures and Advanced Materials, Mechanics and Thermofluids, Faculty of Sciences and Technologies, Hassan II University of Casablanca, B.P 146, 20650, Mohammedia, Morocco.

Context: Designing efficient sensitive materials for the detection of volatile organic compounds (VOCs) such as ethanol, acetone, and benzene is stringent owing to the significant environmental and health risks induced by these compounds, in addition to their role as biomarkers for chronic diseases and food quality. This study investigates the adsorption mechanisms of VOC molecules (ethanol, acetone, and benzene) on both non-oxidized and oxidized SnO (110) monolayers and identifies the most suitable surface for gas sensing applications. For this, we examined structural properties, adsorption energies, density of states, gas responses, and recovery times.

View Article and Find Full Text PDF

The superiority of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) over conventional staging methods such as computed tomography (CT) and bone scintigraphy has now been demonstrated for almost all clinical stages of prostate cancer. In primary diagnostics, PSMA-PET/CT is therefore the new standard for risk-adapted whole-body staging. At the same time, PSMA-PET/CT provides a new risk-based classification for predicting overall survival across all early and late stages of the disease.

View Article and Find Full Text PDF

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!