Natural and Chemically Modified Post-Mining Clays—Structural and Surface Properties and Preliminary Tests on Copper Sorption

Jabłońska, Beata; Busch, M.; Kityk, A. V.; Huber, Patrick

doi:10.3390/min9110704

Cited by 9 publications

(3 citation statements)

References 55 publications

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“…Boron and copper with excessive doses are harmful to human health and biological systems [29,30]. Therefore, these ions were considered cost criteria in the third analysis series.…”

Section: Resultsmentioning

confidence: 99%

A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water

Javanbakht

2023

JES

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This paper applies a novel automated decision-making process with TOPSIS to analyze ions and organic materials in drinking water. The hypothesis was that the modified TOPSIS algorithm with the Łukasiewicz fuzzy disjunction would be appropriate to optimize the drinking water samples. The maximum output values were set to one to apply the fuzzy disjunction. The concentrations of ions and organic materials in the drinking water samples were considered from the values for naturally occurring chemicals that would be of health significance. Materials with positive effects on the body were considered profit criteria, whereas other ones with negative impacts on human health were considered cost criteria. The analysis of samples with unmodified TOPSIS showed that profit criteria having high concentrations and cost criteria having low concentrations had the dominant effects on the candidates’ ranking. The modified TOPSIS showed that the candidates’ ranking in the second analysis series was the same as in the first. However, the value of 1.0 for the fourth candidate’s concentration of nitrite, which resulted from the fuzzy disjunction in the algorithm of the modified TOPSIS, was attributed to the confusion of the drinking water and undrinkable water categories. The optimization results for drinking water samples could be applied in science and engineering based on the concentrations of their ions and organic materials with the automated decision-making process for their distinction from undrinkable water.

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“…Boron and copper with excessive doses are harmful to human health and biological systems [29,30]. Therefore, these ions were considered cost criteria in the third analysis series.…”

Section: Resultsmentioning

confidence: 99%

A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water

Javanbakht

2023

JES

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“…Numerous studies have been conducted on using natural adsorbents or adsorbents made from waste materials, and exemplary maximum adsorption capacity values are presented in Table 8. Clay rocks 15 mg/g [43] Bottom ash of municipal waste incineration 24 mg/g [44] Algal biochar 104. 16 Adsorption of heavy metals from aqueous solutions on natural materials, including dolomites, is a promising technique.…”

Section: Adsorption and Desorption Isothermsmentioning

confidence: 99%

Characteristics of Adsorption/Desorption Process on Dolomite Adsorbent in the Copper(II) Removal from Aqueous Solutions

et al. 2023

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The removal of hazardous heavy metals that have been released into the environment due to industrial activities has become an important issue in recent years. The presented study concerned the removal of copper(II) ions from aqueous solutions using dolomites. Dolomite is a very attractive adsorbent due to its wide availability, low cost, good adsorption, and environmental compatibility. The paper describes the properties of D-I and D-II dolomites from two different open-cast mines in Poland. The properties of natural adsorbents were determined based on point of zero charges (PZC), elemental analysis of the adsorbent composition, FT-IR, XRD, and SEM spectra analysis. Depending on the initial concentration of the solution used, the adsorption efficiency of copper(II) ions was 58–80% for D-I and 80–97% for D-II. The adsorption mechanism in the case of D-II dolomite was mainly based on ion exchange, while chemisorption dominated the D-I dolomite surface. Considering the possibility of the regeneration and reuse of the adsorbent, dolomite D-II is a better material (the desorption efficiency of copper(II) ions was 58–80%). The adsorption behavior of dolomites has been described using six adsorption isotherms. The best fit was obtained for the Redlich–Peterson, Jovanović, and Langmuir isotherms, indicating that monolayer adsorption occurred. The maximum adsorption capacity for copper(II) was 378 mg/g of D-I and 308 mg/g of D-II.

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“…Meanwhile, heavy metals such as Cu are recognized as well-known pollutants in water 3 . Due to its toxicity and long-term environmental stability, Cu is highly detrimental and can threaten the health of humans and aquatic animals 4 , 5 . Therefore, from a public health and environmental conservation perspective, it is essential to eliminate and reduce the concentration of this metal in water.…”

Section: Introductionmentioning

confidence: 99%

Optimization by Box–Behnken design for environmental contaminants removal using magnetic nanocomposite

Buenaño,

Ali,

Jafer

et al. 2024

Sci Rep

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In this study, a CoO–Fe2O3/SiO2/TiO2 (CIST) nanocomposite was synthesized and utilized as an adsorbent to remove methylene blue (MB), malachite green (MG), and copper (Cu) from aqueous environments. The synthesized nanocomposite was characterized using field emission scanning electron microscopy (FE-SEM), Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and X-ray diffraction (XRD). Input parameters included pH (3–10), contact time (10–30 min), adsorbent amount (0.01–0.03 g), and pollutant concentration (20–60 mg L−1). The effects of these parameters on the removal process efficiency were modeled and optimized using the response surface methodology (RSM) based on the Box–Behnken design (BBD). The RSM-BBD method demonstrated the capability to develop a second-degree polynomial model with high validity (R2 ˃ 0.99) for the removal process. The optimization results using the RSM-BBD method revealed a removal efficiency of 98.01%, 93.06%, and 88.26% for MB, MG, and Cu, respectively, under optimal conditions. These conditions were a pH of 6, contact time of 10 min, adsorbent amount of 0.025 g, and concentration of 20 mg L−1. The synthesized adsorbent was recovered through five consecutive adsorption–desorption cycles using hydrochloric acid. The results showed an approximately 12% reduction from the first to the seventh cycle. Also, MB, MG, and Cu removal from real water samples in optimal conditions was achieved in the range of 81.69–98.18%. This study demonstrates the potential use of CIST nanocomposite as an accessible and reusable option for removing MB, MG, and Cu pollutants from aquatic environments.

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Natural and Chemically Modified Post-Mining Clays—Structural and Surface Properties and Preliminary Tests on Copper Sorption

Cited by 9 publications

References 55 publications

A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water

A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water

Characteristics of Adsorption/Desorption Process on Dolomite Adsorbent in the Copper(II) Removal from Aqueous Solutions

Optimization by Box–Behnken design for environmental contaminants removal using magnetic nanocomposite

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