Degradation, dephenolisation and dearomatisation of olive mill wastewater by subcritical water oxidation method using hydrogen peroxide: Application of multi-response central composite design

Yabalak, Erdal; Görmez, Özkan; Sönmez, Belgin Gözmen

doi:10.2298/jsc170909113y

Cited by 11 publications

(5 citation statements)

References 47 publications

(83 reference statements)

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“…While these countries earn a large income from the production of olive oil, this process produces wastes that cause considerable environmental problems. One of the most important problems of them is olive mill wastewater (OMW), which is produced as a subsequent about 40-120 L per ton during the production of olive oil [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…98% of total phenolic compounds are released to the environment in OMW and olive pomace [20][21][22]. The amount of total phenolic contents in OMW varies from 1000 ppm up to 10,000 ppm [7]. In addition, phenolic compounds can polymerize to high molecular weight compounds, which are difficult to degrade by conventional methods, during storage [23,24].…”

Section: Introductionmentioning

confidence: 99%

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Application of the central composite design to mineralization of olive mill wastewater by the electro/FeII/persulfate oxidation method

Görmez

Yabalak

et al. 2020

SN Appl. Sci.

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The olive mill wastewater is a major environmental problem, which is waiting for effective treatment. In this study, the mineralization of olive mill wastewater was investigated using the electro/FeII/persulfate process. The central composite design was utilized to examine the effect of each experimental variables (concentration of persulphate and FeII, treatment time and constant current) on the mineralization of olive mill wastewater. The optimum chemical oxygen demand removal percentage was obtained as 71.2% where the reaction conditions were 200 mA current, 250 mM persulphate, 25 mM FeII, and 6 h reaction time. In addition, the maximum percentage of total phenolic removal and the energy consumption were 88% and 4.50 kWh/kgCOD, respectively, which were obtained at the same reaction conditions mentioned above. ANOVA test was used to examine the reliability of the experimental method. The R 2 and adjusted R 2 coefficients were obtained as 0.9634 and 0.9305, respectively. Optimum experimental parameters were determined and theoretical equations were obtained for the degradation of olive mill wastewater. For the treatment of olive mill wastewater, an environmentally friendly oxidation process was examined and the effect of each experimental variables was clearly demonstrated. The obtained data was optimized for future applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of the central composite design to mineralization of olive mill wastewater by the electro/FeII/persulfate oxidation method

Görmez

Yabalak

et al. 2020

SN Appl. Sci.

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“…The best COD, SLI, and PLI results were observed in subcritical conditions in the presence of 3 mL of H 2 O 2 at 89.2%, 99.8%, and 91.5%, respectively (Table 2/entry 7). Yabalak et al [29] studied degradation of OMW using subcritical water conditions, and they obtained 96% COD removal in their best condition, but they did not mention color or smell removing in their best condition. Also, they have used N 2 gas for degradation process.…”

Section: Resultsmentioning

confidence: 99%

Degradation of olive mill wastewater by different methods and antioxidant activity of olive mill wastewater extraction

et al. 2019

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Olive wastewater (OMW) is an important environmental problem due to the high phenol level and contains organic substances such as sugars, organic acids, polyalcohols, pectins, colloids, tannins, and lipids. Removing OMW is difficult because of the high concentrations of chemical oxygen demand (COD), biochemical oxygen demand, and phenolic compounds. In this study, we concentrated on the degradation of OMW to solve this problem. The degradation of OMW at high pressure and temperature (with H 2 O 2 and without H 2 O 2), at room temperature and atmospheric pressure with H 2 O 2 , at room temperature and atmospheric pressure with O 3 , and with ultrasound-assisted ozonation, was investigated by means of COD, phenolic compounds, and sulfur analyses. The results showed that the method of high pressure and temperature with H 2 O 2 was the most successful. H 2 O 2 at high pressure (O 2) and temperature removed 89.2% of COD, 91.5% of phenolic compounds, and color of OMW. With this result, we showed that the use of O 2 atmosphere instead of N 2 is important for degradation and also especially for color removing. In addition, the antioxidant property of OMW was also examined. Fourier-transform infrared spectroscopy of the extracts revealed vibration bands corresponding to acid, alcohol, and ketone groups. The results showed that high pressure and temperature treatment is very effective for removing phenolic compounds from olive oil wastewater. In addition, 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging potential of OMW in the Çukurova area of Turkey was studied and the IC 50 value of OMW was determined to be 118 µg/mL.

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“…The response surface design by means of three levels Box-Behnken design (BBD) was favoured as more economical and efficient due to smaller number of runs comparing to other optimization designs (such as central composite design). 25 is rotatable design meaning that all of the experimental points are equally distant from the central point and lie on a sphere when presented in 3D space. 8,26 Number of experiments to be performed according to BBD in a presented research resulted in a total of 13 runs (Table I).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Optimization of chromatographic separation of aripiprazole and impurities: Quantitative structure-retention relationship approach

Svrkota

Krmar

Protić

et al. 2022

JSCS

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New optimization strategy based on mixed Quantitative Structure-Retention Relationship (QSRR) model was proposed for improving the RP-HPLC separation of aripiprazole and its impurities (IMP A-E). Firstly, experimental parameters (EPs) (mobile phase composition and flow rate) were varied according to Box-Behnken Design and afterwards, artificial neural network (ANN) as QSRR model was built correlating EPs and selected molecular descriptors (ovality, torsion energy and non-1,4-Van der Waals energy) with analytes log-transformed retention time. Values of root mean square error (RMSE) were used for ANNs quality estimation (0.0227, 0.0191 and 0.0230 for training, verification and test set, respectively). Separations of critical peak pairs on chromatogram (IMP A-B and IMP D-C) were optimized using ANNs for which EPs served as inputs and log-transformed separation criteria s as outputs. They were validated applying leave-one-out cross-validation (RMSE values 0.065 and 0.056, respectively). Obtained ANNs were used for plotting response surfaces upon which analyses chromatographic conditions resulting in optimal analytes retention behaviour and optimal values of separation criteria s were defined and they comprised of 54 % of methanol at the beginning and 79 % of methanol at the end of gradient elution programme with mobile phase flow rate of 460 ?L min-1.

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Degradation, dephenolisation and dearomatisation of olive mill wastewater by subcritical water oxidation method using hydrogen peroxide: Application of multi-response central composite design

Cited by 11 publications

References 47 publications

Application of the central composite design to mineralization of olive mill wastewater by the electro/FeII/persulfate oxidation method

Application of the central composite design to mineralization of olive mill wastewater by the electro/FeII/persulfate oxidation method

Degradation of olive mill wastewater by different methods and antioxidant activity of olive mill wastewater extraction

Optimization of chromatographic separation of aripiprazole and impurities: Quantitative structure-retention relationship approach

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