№ files_lp_4_process_2_47597
File format: docx
Character count: 15946
File size: 330 KB
Year:
2024
Region / City:
Paraíba, Brazil
Field:
Chemical Engineering
Document Type:
Research Article
Organization:
Federal University of Campina Grande
Author:
Gustavo Anthunes Albuquerque da Silva, Laíse Sílvia da Silva Pinto, Ranna Theresa dos Santos Cajá
Target Audience:
Researchers, engineers, and professionals in chemical and process engineering
Period of Application:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Description:
This research article presents the development of a predictive metamodel based on Quantum Machine Learning for optimizing CO₂ separation from biogas by Pressure Swing Adsorption.
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2024
Region / City:
Queensland, Australia
Topic:
Enterprise Architecture, TOGAF, QGEA Metamodel
Document Type:
Implementation Guide
Organization / Institution:
Queensland Government
Author:
Not specified
Target Audience:
Qld Government executives, custodians, enterprise architects
Period of validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Note:
Year
Contextual description:
A formal claim proforma for submitting accounts related to the biogas programme, specifying subsidies, job fees, and training details.
Year:
2021
Region / City:
Wholesale markets
Topic:
Biogas, Organic waste, Waste management
Document type:
Methodology
Organization / Institution:
Joint Crediting Mechanism
Author:
Not specified
Target audience:
Project developers, environmental organizations
Effective period:
Ongoing
Approval date:
Not specified
Date of revisions:
Not specified
Year:
2022
Region / city:
Argentina
Theme:
Biogas, Sustainable development, Waste management
Document type:
Management Response
Organization:
UNDP
Author:
UNDP CO/ ARG16G23 Executing Unit
Target audience:
National authorities, municipal authorities, waste management companies, stakeholders
Action period:
2022
Approval date:
August 2022
Amendment date:
N/A
Year:
2023
Region / City:
Harbin, China
Field:
Chemistry, Materials Science
Document Type:
Research Article
Institution:
Northeast Forestry University, Heilongjiang Forest Botanical Garden
Author:
Mengying Zhang, Kuiwang Chen, Mengfei Tian, Xiaolong Yang, Jiahui Gong, Qi Liang, Xiaofei Xie, Chunying Li, Chunjian Zhao
Target Audience:
Researchers in materials science, chemistry
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Context:
A research article on the development of a thermoresponsive molecularly imprinted resin for selective adsorption of psoralen, describing methods such as DFT simulations, extraction processes, and HPLC quantification.
Year:
Not specified
Field:
Prebiotic Chemistry
Subject:
Adsorption of Adenine on Montmorillonite Clay
Type of Document:
Original Research Article
Materials Studied:
Adenine, Montmorillonite (MMT), Ca²⁺, Mg²⁺, Ni²⁺
Methods:
Adsorption isotherms, Thermodynamic analysis, Cation exchange treatment, X-ray diffraction (XRD)
Experimental Conditions:
Variable pH, Temperature, Concentration
Keywords:
Adenine, Adsorption, Cation surface exchange, Divalent Cations, Green chemistry, Montmorillonite Clay (MMT), Prebiotic Conditions
Chemical Suppliers:
BDH Co., USA; E. Merck Chemical Company, Mumbai
Year:
2021
Region / City:
Beijing, China
Topic:
Environmental Chemistry, Adsorption, Water Treatment
Document Type:
Research Paper
Organization / Institution:
State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, National Institute of Low Carbon and Clean Energy, China University of Mining and Technology, Tennessee State University
Author:
Peidong Su, Jiawei Tang, Miaomiao Wu, Xinlei Guo, Chunhui Zhang, Qiang Guo, Zhaofeng Liu, Jie Li, Junke Zhang
Target Audience:
Researchers, Environmental Engineers, Academics
Period of Validity:
Not specified
Date of Approval:
Not specified
Date of Modifications:
Not specified
Year:
2021
Region / city:
Not specified
Topic:
Adsorption of U(VI) ions, hydrothermal charcoals
Document type:
Scientific article
Institution:
Not specified
Author:
Ahmed W, Mehmood S, Nunez-Delgado A, et al.
Target audience:
Researchers in environmental science and chemistry
Period of validity:
Not applicable
Date of approval:
Not specified
Date of amendments:
Not specified
Year:
Not specified
Region / Location:
Kisii County, Kenya
Research Field:
Environmental Science
Topic:
Heavy Metal Removal from Wastewater
Document Type:
Scientific Research Article
Subject:
Adsorption of Copper (II) Ions
Materials Studied:
Modified and Unmodified Biomass Tea Waste
Sample Source:
Nyamache Tea Factory
Chemicals Used:
Sulfuric Acid (H2SO4)
Experimental Factors:
Adsorbent Dosage, pH Levels, Adsorption Kinetics, Adsorption Isotherms
Isotherm Models Evaluated:
Langmuir Isotherm Model; Freundlich Isotherm Model
Kinetic Model:
Pseudo-Second-Order Kinetics
Key Metal Studied:
Copper (II) Ions
Adsorbent Preparation:
Tea Waste Treated with 1M H2SO4 at 150°C for 24 Hours
Optimal pH (Modified Tea Waste):
6
Optimal pH (Unmodified Tea Waste):
5.9
Optimal Adsorbent Dosage (Modified):
0.7 g
Optimal Adsorbent Dosage (Unmodified):
0.8 g
Adsorption Capacity (Modified Tea Waste):
14.144
Adsorption Capacity (Unmodified Tea Waste):
12.706
Data Correlation (Langmuir Model):
0.9477 and 0.9402
Purpose of Study:
Evaluation of Low-Cost Adsorbent for Removal of Copper Ions from Wastewater