A green monolithic starch cryogel was prepared and applied for the removal of methylene blue (MB) using a batch system. The influence of various experimental parameters on MB adsorption was investigated. High removal efficiency (81.58 ± 0.59%) and adsorption capacity (34.84 mg g) were achieved. The Langmuir model better fitted the experimental data (determination coefficient () = 0.9838) than the Freundlich one ( = 0.8542), while the kinetics of MB adsorption on the cryogel followed a pseudo-second-order model. The adsorption process was spontaneous and endothermic with an activation energy of 37.8 kJ mol that indicated physical adsorption. The starch cryogel was used for MB removal from a wastewater sample collected from a local Batik production community enterprise in Phuket, Thailand, and a removal efficiency of 75.6% was achieved, indicating that it has a high potential as a green adsorbent for MB removal.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787997 | PMC |
http://dx.doi.org/10.3390/polym14245543 | DOI Listing |
Sci Rep
January 2025
Amity Institute of Environmental Sciences (AIES), Amity University Uttar Pradesh (AUUP), Sector-125, Gautam Budh Nagar, Noida, 201313, India.
This study focused on simulating the adsorption-based separation of Methylene Blue (MB) dye utilising Oryza sativa straw biomass (OSSB). Three distinct modelling approaches were employed: artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and response surface methodology (RSM). To evaluate the adsorbent's potential, assessments were conducted using Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM).
View Article and Find Full Text PDFJ Environ Manage
January 2025
College of Environmental Science, Sichuan Agricultural University, Chengdu, Sichuan, 611130, PR China; Sichuan Provincial Engineering Research Center of Agricultural Non-point Source Pollution Control, Sichuan Agricultural University, Chengdu, Sichuan, 611130, PR China.
As a newly developed technology, lignocellulose pretreatment of PHP (phosphoric acid coupled with hydrogen peroxide) can facilitate the enzymatic hydrolysis of pretreated lignocellulose for glucose production. It also has been found that the derived oxidative tail gas from pretreatment can facilely degrade organic pollutant. To balance the pollutant degradation and the glucose yield, the collaborative optimization on pretreatment was investigated.
View Article and Find Full Text PDFLangmuir
January 2025
Centre for Nano and Soft Matter Sciences, Shivanapura, Dasanapura Hobli, Bangalore 562162, India.
The textile industry is one of the main industries that benefited from the industrial revolution. Therefore, discharging of dyes from textile, paper, plastic, and rubber industries is inevitable. This colored wastewater prevents sunlight penetration and highly affects water sources.
View Article and Find Full Text PDFRSC Adv
January 2025
National Centre of Excellence in Physical Chemistry, University of Peshawar Peshawar Pakistan.
In this study, a binary composite adsorbent based on activated carbon and phosphoric acid geopolymer foam (ACP) was prepared by combining phosphoric acid geopolymer (PAGP) with activated carbon (AC) and applied for the removal of methylene blue (MB). Activated carbon was thoroughly mixed with a mixture of fly ash and metakaolin in varying ratios, followed by phosphoric acid activation and thermal curing. The ACP adsorbent was characterized using scanning electron microscope (SEM), Fourier transform infrared (FTIR) spectrophotometer, X-ray diffractometer (XRD), surface area analyser (SAP), and thermogravimetric analyser (TGA).
View Article and Find Full Text PDFEnviron Res
January 2025
Department of Environmental Engineering, Kyungpook National University, South Korea.
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!