Modification of Natural Peat for Removal of Copper Ions from Aqueous Solutions

Shvartseva, Olga; Skripkina, Tatiana; Gaskova, Olga; Podgorbunskikh, Ekaterina

doi:10.3390/w14132114

Cited by 10 publications

(6 citation statements)

References 75 publications

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“…The release of humic acid and fulvic acid from peat moss in an aqueous environment under alkaline conditions was confirmed to effectively lower the pH value [35]. Previous benchmark-scale studies also confirmed this immediate impact [36,37]. V. zizaniodes and P. karka recorded similar final pH values, which were 7.8, and there was a slight increase in pH values from 7.1 to 8.2 for influent and effluent, respectively.…”

Section: Attenuation Of Phsupporting

confidence: 53%

Nitrogen and Phosphorus Removal of Wastewater via Constructed Wetlands Approach

Tang

Jusoh

2023

Trop. Aqua. Soil Pollut.

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This study aimed to determine the efficiency of media pollutant removal from municipal wastewater with high concentrations of ammonia and phosphorus in constructed wetlands (CWs). The study utilized secondary data from previous studies that were published in credible sources. The removal efficiencies of the five media used in the constructed wetland, namely, peat-cattails, cattails, peat, Viteveria zizanioides, and Phragmite karka, were compared. The results showed that CWs with Viteveria zizaniode exhibited the best performance on average, removing 84% nitrogen and 86% phosphorus. Peat was also effective in attenuating pH. Humic and fulvic acids in peat moss can be released quickly in an aqueous environment under alkaline conditions, effectively lowering the pH value. The combination of Viteveria zizaniode and peat significantly improved pollutant removal efficiency in municipal wastewater with high concentrations of ammonia and phosphorus.

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Section: Attenuation Of Phsupporting

confidence: 53%

Nitrogen and Phosphorus Removal of Wastewater via Constructed Wetlands Approach

Tang

Jusoh

2023

Trop. Aqua. Soil Pollut.

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“…The performance of the adsorption process was evaluated based on the adsorption capacity Q t (mg/g) which represents the mass of M X+ retained by one gram of MS at a time, t [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ]:

where C i and C t (mg/L) represent the concentrations of the supernatant before and after at time t of the adsorption process, V (L) the volume of samples to be tested, m (g) is the mass of the MS.…”

Section: Methodsmentioning

confidence: 99%

Maize Stalk Obtained after Acid Treatment and Its Use for Simultaneous Removal of Cu2+, Pb2+, Ni2+, Cd2+, Cr3+ and Fe3+

Marin

2022

Polymers

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In this research, eco-friendly material represented by maize stalk (MS) obtained after acid treatment was employed for simultaneous removal of Cu2+, Pb2+, Ni2+, Cd2+, Cr3+ and Fe3+ (MX+) from simulated textile aqueous matrix and tannery wastewater produced by the leather industry. The acid treatment of MS was done with 4 M HCl. The influence of experimental parameters was evaluated in order to optimize the adsorption process for simulated textile matrix. The contact time 10–60 min and initial concentration of 0.5–1 mg/L MX+ influence were studied by batch method. Additionally, the adsorption data of MX+ onto MS was fitting by kinetic and isotherm models. The results obtained showed that the 60 min was necessary to reach adsorption equilibrium of the MS. The adsorption capacity of MS was 0.052 mg Cu2+/g of MS, 0.024 mg Pb2+/g of MS, 0.042 mg Ni2+/g of MS, 0.050 mg Cd2+/g of MS, 0.056 mg Fe3+/g of MS and 0.063 mg Cr3+/g of MS at pH = 4.2. The Langmuir model described the adsorption process very well. The MS showed huge selectivity for Cr3+ and Fe3+ in the presence of Cu2+, Pb2+, Ni2+ and Cd2+. The adsorption of MX+ from liquid phases were analyzed by spectrometric adsorption method (AAS). The solid phases of MS before and after adsorption by TG and SEM analysis were characterized. When MS was used for removal of MX+ from tannery wastewater, two major issues were investigated: First, the decrease of MX+ content from highly polluted and difficult to treat tannery wastewaters by improve its quality and in the second part, specific recovery of MX+ from MS mass increasing the economic efficiency of metals production based on green technology.

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“…Methyl C-H stretching vibrations in aliphatic compounds can be observed at specific wavenumbers, such as 2941, 2922, 2885, and 2850 cm −1 [1]. Calderón et al [58] and Shvartseva et al [55] reported that the bands at 2925 and 2855 cm −1 correspond to the asymmetric stretching vibrations of CH 3 and CH 2 groups, respectively. On the other hand, stretching vibrations of C=O bonds in carboxylic acids, esters, and ketones can be observed around 1735 cm −1 .…”

Section: Drift-ftir Spectral Behaviormentioning

confidence: 98%

Using Various Models for Predicting Soil Organic Carbon Based on DRIFT-FTIR and Chemical Analysis

Thabit,

Negim,

AbdelRahman

et al. 2024

Soil Systems

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Soil organic carbon (SOC) is a crucial factor influencing soil quality and fertility. In this particular investigation, we aimed to explore the possibility of using diffuse reflectance infrared fourier transform spectroscopy (DRIFT-FTIR) in conjunction with machine-learning models, such as partial least squares regression (PLSR), artificial neural networks (ANN), support vector regression (SVR) and random forest (RF), to estimate SOC in Sohag, Egypt. To achieve this, we collected a total of ninety surface soil samples from various locations in Sohag and estimated the total organic carbon content using both the Walkley-Black method and DRIFT-FTIR spectroscopy. Subsequently, we used the spectral data to develop regression models using PLSR, ANN, SVR, and RF. To evaluate the performance of these models, we used several evaluation parameters, including root mean square error (RMSE), coefficient of determination (R2), and ratio of performance deviation (RPD). Our survey results revealed that the PLSR model had the most favorable performance, yielding an R2 value of 0.82 and an RMSE of 0.006%. In contrast, the ANN, SVR, and RF models demonstrated moderate to poor performance, with R2 values of 0.53, 0.27, and 0.18, respectively. Overall, our study highlights the potential of combining DRIFT-FTIR spectroscopy with multivariate analysis techniques to predict SOC in Sohag, Egypt. However, additional studies and research are needed to improve the accuracy or predictability of machine-learning models incorporated into DRIFT-FTIR analysis and to compare DRIFT-FTIR analysis techniques with conventional soil chemical measurements.

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Modification of Natural Peat for Removal of Copper Ions from Aqueous Solutions

Cited by 10 publications

References 75 publications

Nitrogen and Phosphorus Removal of Wastewater via Constructed Wetlands Approach

Nitrogen and Phosphorus Removal of Wastewater via Constructed Wetlands Approach

Maize Stalk Obtained after Acid Treatment and Its Use for Simultaneous Removal of Cu2+, Pb2+, Ni2+, Cd2+, Cr3+ and Fe3+

Using Various Models for Predicting Soil Organic Carbon Based on DRIFT-FTIR and Chemical Analysis

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