Electrocoagulation of kraft pulp bleaching filtrates to improve biotreatability

Coimbra, Eder Carlos Lopes; Mounteer, Ann Honor; Carmo, Andreiva Lauren Vital do; Michielsen, Marc Jaqueline Frank; Tótola, Lucas Alcântara; Guerino, Júlia Pires Fujiara; Gonçalves, Júlia Gabriela Alves Nogueira; Silva, Priscila Romana da

doi:10.1016/j.psep.2020.09.039

Cited by 17 publications

(6 citation statements)

References 60 publications

(58 reference statements)

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“…The number of hidden layers and the number of neurons in these layers were determined by trial and error. Various nodes were used to define the optimum number of hidden nodes (i.e., [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. The accuracy of the developed models was evaluated using statistical parameters, which are presented in Table 2.…”

Section: Modeling An Artificial Neural Networkmentioning

confidence: 99%

“…The electrocoagulation technique is included several advantages such as relatively low sludge production, reduced risk of secondary contamination, flexibility and short treatment time, and with this method there is no need for chemicals. This process has been used to remove COD in various industries, such as paper and pulp effluents [16,17], the sugar industry [18], and car wash wastewater [19]. In addition, this involved some disadvantages, including the necessity to replace the sacrificial electrodes; and that the residual sludge contains large concentrations of iron and aluminum depending on the electrode material, and thus could potentially require an expensive treatment process because it could consume a lot of energy.…”

Section: Introductionmentioning

confidence: 99%

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Applications of Computational and Statistical Models for Optimizing the Electrochemical Removal of Cephalexin Antibiotic from Water

Arab

Faramarz

Hashim

2022

Water

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One of the most serious effects of micropollutants in the environment is biological magnification, which causes adverse effects on humans and the ecosystem. Among all of the micro-pollutants, antibiotics are commonly present in the aquatic environment due to their wide use in treating or preventing various diseases and infections for humans, plants, and animals. Therefore, an aluminum-based electrocoagulation unit has been used in this study to remove cephalexin antibiotics, as a model of the antibiotics, from water. Computational and statistical models were used to optimize the effects of key parameters on the electrochemical removal of cephalexin, including the initial cephalexin concentration (15–55 mg/L), initial pH (3–11), electrolysis time (20–40 min), and electrode type (insulated and non-insulated). The response surface methodology-central composite design (RSM-CCD) was used to investigate the dependency of the studied variables, while the artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) methods were applied for predicting the experimental training data. The results showed that the best experimental and predicted removals of cephalexin (CEX) were 88.21% and 93.87%, respectively, which were obtained at a pH of 6.14 and electrolysis time of 34.26 min. The results also showed that the ANFIS model predicts and interprets the experimental results better than the ANN and RSM-CCD models. Sensitivity analysis using the Garson method showed the comparative significance of the variables as follows: pH (30%) > electrode type (27%) > initial CEX concentration (24%) > electrolysis time (19%).

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Section: Modeling An Artificial Neural Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Applications of Computational and Statistical Models for Optimizing the Electrochemical Removal of Cephalexin Antibiotic from Water

Arab

Faramarz

Hashim

2022

Water

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“…Although this industrial sector contributes a significant role to the world’s economy, this industry in particular is known to be one of the largest producers of wastewater worldwide emanated during subsequent industrial operations ( Bui et al, 2022 ; Namdarimonfared et al, 2023 ). From the different stages of the paper-making process, wastewater from the bleaching process is probably the major problem of PPMs ( Oke et al, 2017 ; Kumar et al, 2020 ; Coimbra et al, 2021 ). It is estimated that freshwater ranging from 273 to 450 m 3 is essential to make 1 tonne of paper in PPMs and about 60–300 m 3 of bleached wastewater is generated ( Mittar et al, 1992 ).…”

Section: Introductionmentioning

confidence: 99%

Unraveling the shift in bacterial communities profile grown in sediments co-contaminated with chlorolignin waste of pulp-paper mill by metagenomics approach

Kumar,

Ameen,

Verma

2024

Front. Microbiol.

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Pulp-paper mills (PPMs) are known for consistently generating a wide variety of pollutants, that are often unidentified and highly resistant to environmental degradation. The current study aims to investigate the changes in the indigenous bacterial communities profile grown in the sediment co-contaminated with organic and inorganic pollutants discharged from the PPMs. The two sediment samples, designated PPS-1 and PPS-2, were collected from two different sites. Physico-chemical characterization of PPS-1 and PPS-2 revealed the presence of heavy metals (mg kg−1) like Cu (0.009–0.01), Ni (0.005–0.002), Mn (0.078–0.056), Cr (0.015–0.009), Pb (0.008–0.006), Zn (0.225–0.086), Fe (2.124–0.764), Al (3.477–22.277), and Ti (99.792–45.012) along with high content of chlorophenol, and lignin. The comparative analysis of organic pollutants in sediment samples using gas chromatography–mass spectrometry (GC–MS) revealed the presence of major highly refractory compounds, such as stigmasterol, β-sitosterol, hexadecanoic acid, octadecanoic acid; 2,4-di-tert-butylphenol; heptacosane; dimethyl phthalate; hexachlorobenzene; 1-decanol,2-hexyl; furane 2,5-dimethyl, etc in sediment samples which are reported as a potential toxic compounds. Simultaneously, high-throughput sequencing targeting the V3–V4 hypervariable region of the 16S rRNA genes, resulted in the identification of 1,249 and 1,345 operational taxonomic units (OTUs) derived from a total of 115,665 and 119,386 sequences read, in PPS-1 and PPS-2, respectively. Analysis of rarefaction curves indicated a diversity in OTU abundance between PPS-1 (1,249 OTUs) and PPS-2 (1,345 OTUs). Furthermore, taxonomic assignment of metagenomics sequence data showed that Proteobacteria (55.40%; 56.30%), Bacteoidetes (11.30%; 12.20%), and Planctomycetes (5.40%; 4.70%) were the most abundant phyla; Alphproteobacteria (20.50%; 23.50%), Betaproteobacteria (16.00%; 12.30%), and Gammaproteobacteria were the most recorded classes in PPS-1 and PPS-2, respectively. At the genus level, Thiobacillus (7.60%; 4.50%) was the most abundant genera grown in sediment samples. The results indicate significant differences in both the diversity and relative abundance of taxa in the bacterial communities associated with PPS-2 when compared to PPS-1. This study unveils key insights into contaminant characteristics and shifts in bacterial communities within contaminated environments. It highlights the potential for developing efficient bioremediation techniques to restore ecological balance in pulp-paper mill waste-polluted areas, stressing the importance of identifying a significant percentage of unclassified genera and species to explore novel genes.

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“…Electrochemical processing has been shown to be technically and economically suitable for large-scale wastewater treatment (Coimbra et al 2021). It is a suitable choice to use low-pressure electrolysis to treat APMP wastewater to comply with the concept of green development.…”

Section: Introductionmentioning

confidence: 99%

Impact of continuous electrochemical degradation of eucalyptus alkaline peroxide mechanical pulping wastewater

2022

BioRes

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Levels of pollutants in pulp and papermaking wastewater are an important issue for environmental protection. High concentrations of contaminants can seriously affect the environment if they are not processed. Therefore, treating paper wastewater is a necessary option for governments to select appropriate treatment methods to remove the multi-component pollutants. In this study, the impact of continuous electro-degradation of eucalyptus alkaline peroxide mechanical pulping wastewater was studied. An electrolytic treatment method performed at a low voltage was used. Through the electrolysis method, the wastewater chemical oxygen demand was decreased by 98%, and color-generating groups were nearly all destroyed. During the electrolysis process, the pH value of wastewater continuously decreased and finally reached 2.5. Lowering the pH of the waste solution will help increase the electrolysis efficiency of the wastewater. A total of 5.8 g of alkali was obtained. The wastewater precipitation before and after electrolysis was analyzed by X-ray photoelectron, Fourier transform infrared, and energy-dispersive X-ray spectroscopies.

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Electrocoagulation of kraft pulp bleaching filtrates to improve biotreatability

Cited by 17 publications

References 60 publications

Applications of Computational and Statistical Models for Optimizing the Electrochemical Removal of Cephalexin Antibiotic from Water

Applications of Computational and Statistical Models for Optimizing the Electrochemical Removal of Cephalexin Antibiotic from Water

Unraveling the shift in bacterial communities profile grown in sediments co-contaminated with chlorolignin waste of pulp-paper mill by metagenomics approach

Impact of continuous electrochemical degradation of eucalyptus alkaline peroxide mechanical pulping wastewater

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