Bioprofile Dr Ravikumar Madugula 26 6 22 (original) (raw)
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2020
The Objective of the present study is to remove Congo red (CR) dye onto Cleodendrum fragrans leaves powder as biosorbent in a batch study. The effect of process variables used were contact time, solution pH, initial CR dye concentration, biosorbent dosage, average particle size of the biosorbent and temperature. The kinetic, isotherm and Thermodynamic studies of removal of CR dye onto Cleodendrum fragrans biosorbent were investigated. In the present study Congo red dye uptake was found to be 13.31mg/g by using Cleodendrum fragrans leaves as biosorbent. Response surface methodology (RSM) was adopted to study the correlations among the process variables affecting the process and to optimize the process to give high dye removal. The maximum removal efficiency was predicted to be 93.54% at a temperature of 303.48 K, solution pH of 3.99, initial dye concentration of 19.63 mg/L, biosorbent dosage of 1.76 g.
Chem. Methodology, 2023
In the present study, the bio sorbent was investigated for its surface functional groups using Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM), and X-ray diffraction (XRD). Before and after bio sorption studies, The FTIR spectra for the study's bio sorbent were acquired, and it was discovered that the sites on the bio sorbent that accommodate the exchangeable dye could function as active sites for the exchange of dye. The significant numbers of heterogeneous pore layers in the bio sorbent that are clearly visible in the SEM microscopic image indicate that there is a good chance for the adsorption of the dye. However, the surface of the dye-loaded bio sorbent demonstrates unmistakably that the bio sorbent's surface was covered in dye. The XRD analyses verified the bio sorbent's amorphous and crystalline character.
The waste management becomes particular nowadays and waste conversion into valuable materials is one of the promising alternative capable of reducing the resource depletion rate. The performance of lignocel-lulosic residues, pineapple plant stem (PPS) for cationic (Basic Blue 3, BB3) and anionic (Congo Red, CR) dyes removal has been evaluated in a batch process, using different parameters such as, pH, contact time, agitation rate, initial dye concentration and sorbent dosage. The kinetics of both dyes sorption fitted well with pseudo-second order kinetic model. Boundary layer effect and intraparticle diffusion models were applied to study the rate-limiting step. The isotherm data of BB3 could be well described by Freundlich model (r 2 = 0.998) whilst high coefficient of determination of CR obtained from Langmuir (r 2 = 0.999) and Temkin (r 2 = 0.996) models. The maximum sorption capacities for BB3 and CR were found to be 58.983 and 11.966 mg g −1 , respectively under a favourable sorption process. The BB3 and CR adsorption on PPS was found to be exothermic. The result suggests that PPS has higher affinity on cationic than anionic dye. The promising regeneration capability of PPS using acid, implied PPS was a potential biosorbent for BB3 removal.
Bulletin of the National Research Centre, 2021
Background Conservation of the ecosystem is a prime concern of human communities. Industrial development should adopt this concern. Unfortunately, various related activities release lots of noxious materials concurrently with significant leakage of renewable resources. This work presents a new biosorbent activated de-oiled microalgae, Chlorella vulgaris , (AC) for biosorption of Acid Red 1 (AR1) from aqueous solution simulated to textile dyeing effluent. The biosorption characteristics of AC were explored as a function of the process parameters, namely pH, time, and initial dye concentration using response surface methodology (RSM). Results Optimization is carried out using the desirability approach of the process parameters for maximum dye removal%. The ANOVA analysis of the predicted quadratic model elucidated significant model terms with a regression coefficient value of 0.97, F value of 109.66, and adequate precision of 34.32 that emphasizes the applicability of the model to nav...