1
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Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-07803-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AbstractNumerical optimization solves problems that are analytically intractable at the cost of arriving at a sufficiently good but rarely optimal solution. To maximize the result, optimization algorithms are run with the guidance and supervision of a human, usually an expert in the problem. Recent advances in deep reinforcement learning motivate interest in an artificial agent capable of learning to do the expert’s task. Specifically, we present a proximal policy optimization agent that learns to optimize in a real case study such as the modeling of the photo-fenton disinfection process, which involves a number of parameters that have to be adjusted to minimize the error of the model with respect to the experimental data collected in several trials. The expert spends an average of 4 h to find a suitable set of parameters. On the other hand, the agent we present does not require a human expert to guide or validate the optimization procedure and achieves similar results in $$2.5\times$$
2.5
×
less time.
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2
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Mustafa FS, Oladipo AA, Gazi M. Photocatalytic Degradation of Toxic Phenolic Compound and Bacterial Inactivation by Ternary Li doped Zn
0.5
Ni
0.5
Fe
2
O
4. ChemistrySelect 2022. [DOI: 10.1002/slct.202200727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Faisal Suleiman Mustafa
- Polymeric Materials Research Laboratory Department of Chemistry Faculty of Arts and Sciences Eastern Mediterranean University, Famagusta TR North Cyprus via Mersin 10 99450 Famagusta Turkey
| | - Akeem Adeyemi Oladipo
- Polymeric Materials Research Laboratory Department of Chemistry Faculty of Arts and Sciences Eastern Mediterranean University, Famagusta TR North Cyprus via Mersin 10 99450 Famagusta Turkey
| | - Mustafa Gazi
- Polymeric Materials Research Laboratory Department of Chemistry Faculty of Arts and Sciences Eastern Mediterranean University, Famagusta TR North Cyprus via Mersin 10 99450 Famagusta Turkey
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3
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Dai T, Li C, Wang N, Yu L, Zhang M. Efficient degradation of azo dye by dual-doped photo-enhanced Fenton-like catalysts in magnetic suspension reactor. J IND ENG CHEM 2021. [DOI: 10.1016/j.jiec.2021.08.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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4
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Efficiency Enhancement in Double-Pass Perforated Glazed Solar Air Heaters with Porous Beds: Taguchi-Artificial Neural Network Optimization and Cost–Benefit Analysis. SUSTAINABILITY 2021. [DOI: 10.3390/su132111654] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Analyzing the combination of involving parameters impacting the efficiency of solar air heaters is an attractive research areas. In this study, cost-effective double-pass perforated glazed solar air heaters (SAHs) packed with wire mesh layers (DPGSAHM), and iron wools (DPGSAHI) were fabricated, tested and experimentally enhanced under different operating conditions. Forty-eight iron pieces of wool and fifteen steel wire mesh layers were located between the external plexiglass and internal glass, which is utilized as an absorber plate. The experimental outcomes show that the thermal efficiency enhances as the air mass flow rate increases for the range of 0.014–0.033 kg/s. The highest thermal efficiency gained by utilizing the hybrid optimized DPGSAHM and DPGSAHI was 94 and 97%, respectively. The exergy efficiency and temperature difference (∆T) indicated an inverse relationship with mass flow rate. When the DPGSAHM and DPGSAHI were optimized by the hybrid procedure and employing the Taguchi-artificial neural network, enhancements in the thermal efficiency by 1.25% and in exergy efficiency by 2.4% were delivered. The results show the average cost per kW (USD 0.028) of useful heat gained by the DPGSAHM and DPGSAHI to be relatively higher than some double-pass SAHs reported in the literature.
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5
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Cojocaru C, Humelnicu AC, Pascariu P, Samoila P. Artificial neural network and molecular modeling for assessing the adsorption performance of a hybrid alginate-based magsorbent. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.116406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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6
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Azalok KA, Oladipo AA, Gazi M. Hybrid MnFe-LDO-biochar nanopowders for degradation of metronidazole via UV-light-driven photocatalysis: Characterization and mechanism studies. CHEMOSPHERE 2021; 268:128844. [PMID: 33187651 DOI: 10.1016/j.chemosphere.2020.128844] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/25/2020] [Accepted: 10/29/2020] [Indexed: 05/27/2023]
Abstract
A cost-competitive MnFe-LDO-biochar hybrid catalyst was successfully synthesized via a simple yet efficient technique for the decomposition of metronidazole (MZ). MnFe-LDO-biochar was characterized by various techniques and the results revealed that it has a bandgap of 2.85 eV, high photocurrent response of 3.8 μA cm-2 and can be separated rapidly from the bulk solution by an external magnet due to its saturation magnetization of 28.5 emu g-1. Initially, in the dark condition, 20% of MZ was removed after 30 min when 20 mg L-1 MZ solution was treated with 50 mg MnFe-LDO-biochar in the presence of 6 mM H2O2. The MZ degradation increased remarkably to ∼98% upon exposure to a UV light for 60 min. Under various processes, UV/MnFe-LDO-biochar/H2O2 presented high degradation rate constant of 0.226 min-1 and lowest energy consumption cost of 0.38$ at 7.56 kWh m-3 which is ∼13 times lower than the degradation of MZ by the photolytic process under similar conditions. The MZ photocatalytic decomposition trend revealed a multiprocess mechanism influenced majorly by •OH and partly by h+ and •O2-. Note that in MnFe-LDO-biochar/UV system; 5% of MZ degradation was observed after 120 min and reached 13% after 300 min. MnFe-LDO-biochar maintained ∼88% reuse efficiency after three consecutive recycling tests.
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Affiliation(s)
- Khawla Abdulmutalib Azalok
- Polymeric Materials Research Laboratory, Department of Chemistry, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta TR North Cyprus, Via Mersin 10, Turkey
| | - Akeem Adeyemi Oladipo
- Polymeric Materials Research Laboratory, Department of Chemistry, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta TR North Cyprus, Via Mersin 10, Turkey.
| | - Mustafa Gazi
- Polymeric Materials Research Laboratory, Department of Chemistry, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta TR North Cyprus, Via Mersin 10, Turkey.
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7
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Yao L, Zhang L, Long B, Dai Y, Ding Y. N-heterocyclic hyper-cross-linked polymers for rapid and efficient adsorption of organic pollutants from aqueous solution. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2020.115002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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8
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CuCr 2O 4@CaFe-LDO photocatalyst for remarkable removal of COD from high-strength olive mill wastewater. J Colloid Interface Sci 2021; 591:193-202. [PMID: 33601104 DOI: 10.1016/j.jcis.2021.01.080] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 01/19/2021] [Accepted: 01/25/2021] [Indexed: 01/17/2023]
Abstract
Wastewater from the olive mill constitutes a serious environmental concern, as it is characterized by a high inorganic and organic load. Here, a hybrid photocatalyst based on calcined Ca-Fe-LDH was successfully synthesized for the degradation of phenolic compounds and the removal of chemical oxygen demand (COD) from the high-strength olive mill wastewater (OMW). The catalyst (CuCr2O4@CaFe-LDO) displayed a stable ~4.48 µA cm-2 photocurrent response, a 2.56 eV bandgap and a wide variety of pores with an average size of 12.51 nm. 1.0 g CuCr2O4@CaFe-LDO achieved 66% COD removal after 300 mins without an oxidant in the dark, while after 180 mins of reaction, CuCr2O4@CaFe-LDO/K2S2O8/sunlight system resulted in ~99% and 98.3% COD and colour removal. Seven phenolic compounds were found in the crude OMW, with hydroxytyrosol (76.84%) and tyrosol (15.14%) being the main ones. The final pH of the sample treated increased from 4.3 to 7.3, which confirmed the degradation of phenolics and fatty acids in the OMW. OH, SO4-, h+ and O2- contributed notably to the degradation of polyphenols and the spent catalyst was easily and rapidly recovered from the bulk solution due to its saturation magnetization of 54.7 emu g-1.
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9
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Azalok KA, Oladipo AA, Gazi M. UV-light-induced photocatalytic performance of reusable MnFe-LDO–biochar for tetracycline removal in water. J Photochem Photobiol A Chem 2021. [DOI: 10.1016/j.jphotochem.2020.112976] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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10
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Ertuğruloğlu P, Gulcan HO, Ifebajo AO, Fallah A, Sahin MF, Gazi M. Removal of duloxetine from aqueous solution by adsorption onto chemical crosslinked alginate beads. J DISPER SCI TECHNOL 2020. [DOI: 10.1080/01932691.2020.1844013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Pinar Ertuğruloğlu
- Polymeric Materials Research Laboratory, Chemistry Department, Faculty of Arts & Science, Eastern Mediterranean University, Famagusta, TRNC, Turkey
| | | | - Ayodeji Olugbenga Ifebajo
- Polymeric Materials Research Laboratory, Chemistry Department, Faculty of Arts & Science, Eastern Mediterranean University, Famagusta, TRNC, Turkey
| | - Amirhossein Fallah
- Polymeric Materials Research Laboratory, Chemistry Department, Faculty of Arts & Science, Eastern Mediterranean University, Famagusta, TRNC, Turkey
| | - Mustafa Fethi Sahin
- Faculty of Pharmacy, Eastern Mediterranean University, Famagusta, TRNC, Turkey
| | - Mustafa Gazi
- Polymeric Materials Research Laboratory, Chemistry Department, Faculty of Arts & Science, Eastern Mediterranean University, Famagusta, TRNC, Turkey
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11
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Pesticide decontamination using UV/ferrous-activated persulfate with the aid neuro-fuzzy modeling: A case study of Malathion. Food Res Int 2020; 137:109557. [DOI: 10.1016/j.foodres.2020.109557] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 06/20/2020] [Accepted: 07/13/2020] [Indexed: 11/30/2022]
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12
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Zulfiqar M, Chowdhury S, Omar AA, Siyal AA, Sufian S. Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO 2-P25: optimization and modeling approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:34018-34036. [PMID: 32557068 DOI: 10.1007/s11356-020-09674-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/09/2020] [Indexed: 06/11/2023]
Abstract
The primary responsibility for continuously discharging toxic organic pollutants into water bodies and open environments is the increase in industrial and agricultural activities. Developing economical and suitable methods to continuously remove organic pollutants from wastewater is highly essential. The aim of the present research was to apply response surface methodology (RSM) and artificial neural networks (ANNs) for optimization and modeling of photocatalytic degradation of acid orange 7 (AO7) by commercial TiO2-P25 nanoparticles (TNPs). Dose of TNPs, pH, and AO7 concentration were selected as investigated parameters. RSM results reveal the reflective rate of AO7 removal of ~ 94.974% was obtained at pH 7.599, TNP dose of 0.748 g/L, and AO7 concentration of 28.483 mg/L. The resulting quadratic model is satisfactory with the highest coefficient of determination (R2) between the predicted and experimental data (R2 = 0.98 and adjusted R2 = 0.954). On the other hand, ANNs were successfully employed for modeling of AO7 degradation process. The proposed ANN model was absolutely fitted with experimental results producing the highest R2. Furthermore, root mean square error (RMSE), mean average deviation (MAD), absolute average relative error (AARE), and mean square error (MSE) were examined more to compare the predictive capabilities of ANN and RSM models. The experimental data was well fitted into pseudo-first-order and pseudo-second-order kinetics with more accuracy. Thermodynamic parameters, namely enthalpy, entropy, Gibbs' free energy, and activation energy, were also evaluated to suggest the nature of the degradation process. The increase of temperature was analyzed to be more suitable for the fast removal of AO7 over TNPs. Graphical abstract.
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Affiliation(s)
- Muhammad Zulfiqar
- Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610, Bandar Sri Iskandar, Perak, Malaysia.
| | - Sujan Chowdhury
- Chemical Engineering Department, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Abdul Aziz Omar
- Department of Computing and Information Systems, Sunway University, 47500, Petaling Jaya, Selangor, Malaysia
| | - Ahmer Ali Siyal
- Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610, Bandar Sri Iskandar, Perak, Malaysia
| | - Suriati Sufian
- Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610, Bandar Sri Iskandar, Perak, Malaysia.
- Centre of Innovative Nanostructures & Nanodevices (COINN), Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Perak, Malaysia.
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Yuney K, Oladipo AA, Gazi M, Younis DZ. CuO coated olive cake nanocomposites for rapid phenol removal and effective discoloration of high strength olive mill wastewater. CHEMOSPHERE 2020; 253:126703. [PMID: 32294600 DOI: 10.1016/j.chemosphere.2020.126703] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 03/27/2020] [Accepted: 04/02/2020] [Indexed: 06/11/2023]
Abstract
The potential of solid olive wastes-based adsorbent (CuO-OC) with photocatalytic power was established for the removal of total phenolics and photocatalytic discolourization of high strength olive mill wastewater (OMW). Clear insight of the FTIR and Brunauer-Emmett-Teller analyses showed that oxygen-containing functional groups of CuO-OC likely participated in the adsorption of total phenols from the OMW via a π-π interaction, hydrogen bonding and electrostatic interaction. Also, the total pore volume of CuO-OC decreased from 0.068 to 0.052 cm3 g-1 after adsorption, which suggested that phenolics were trapped within the micro- and mesopores of CuO-OC. The adsorption kinetics revealed that ∼82.7-95% of the phenolic compounds were removed within the first 360 min which is relatively faster than adsorbents and methods reported elsewhere. The isotherm results showed that Redlich-Peterson equation fit the experimental data very well with least error (χ2 = 1.46-3.19) and high correlation coefficients (0.992-0.996), which suggested a mixture of hetero- and monolayer coverage of the phenolics on the CuO-OC surface. Results obtained herein are of practical interest and the reuse efficiency of CuO-OC remained ∼60% after 5 successive recycling.
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Affiliation(s)
- Kivanc Yuney
- Polymeric Materials Research Laboratory, Department of Chemistry, Faculty of Arts and Sciences, Eastern Mediterranean University, TR North Cyprus, Famagusta Via Mersin 10, Turkey
| | - Akeem Adeyemi Oladipo
- Polymeric Materials Research Laboratory, Department of Chemistry, Faculty of Arts and Sciences, Eastern Mediterranean University, TR North Cyprus, Famagusta Via Mersin 10, Turkey.
| | - Mustafa Gazi
- Polymeric Materials Research Laboratory, Department of Chemistry, Faculty of Arts and Sciences, Eastern Mediterranean University, TR North Cyprus, Famagusta Via Mersin 10, Turkey
| | - Dilshad Zubair Younis
- Polymeric Materials Research Laboratory, Department of Chemistry, Faculty of Arts and Sciences, Eastern Mediterranean University, TR North Cyprus, Famagusta Via Mersin 10, Turkey
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14
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Ahmad K, Hui YZ, Bairq ZAS. Comparison of the performance of a hydrogel and hybrid graphene oxide with hydrogel to remove iron (III) and phenol from wastewater. RESEARCH ON CHEMICAL INTERMEDIATES 2020. [DOI: 10.1007/s11164-020-04110-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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15
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Oladipo AA, Ahaka EO, Gazi M. Pyrochar/AgBr-derived from discarded chewing gum for decontamination of trichlorophenol via fixed-bed adsorption system. CHEM ENG COMMUN 2020. [DOI: 10.1080/00986445.2019.1705792] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Akeem Adeyemi Oladipo
- Polymeric Materials Research Laboratory, Chemistry Department, Faculty of Arts and Science, Eastern Mediterranean University, TR North Cyprus, Famagusta via Mersin 10, Turkey
| | - Edith Odinaka Ahaka
- Polymeric Materials Research Laboratory, Chemistry Department, Faculty of Arts and Science, Eastern Mediterranean University, TR North Cyprus, Famagusta via Mersin 10, Turkey
| | - Mustafa Gazi
- Polymeric Materials Research Laboratory, Chemistry Department, Faculty of Arts and Science, Eastern Mediterranean University, TR North Cyprus, Famagusta via Mersin 10, Turkey
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16
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Zulfiqar M, Samsudin MFR, Sufian S. Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network. J Photochem Photobiol A Chem 2019. [DOI: 10.1016/j.jphotochem.2019.112039] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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17
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Heydaripour J, Gazi M, Oladipo AA, Gulcan HO. Porous magnetic resin-g-chitosan beads for adsorptive removal of phenolic compounds. Int J Biol Macromol 2019; 123:1125-1131. [DOI: 10.1016/j.ijbiomac.2018.11.168] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 11/03/2018] [Accepted: 11/17/2018] [Indexed: 11/30/2022]
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18
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Franco DSP, Duarte FA, Salau NPG, Dotto GL. Adaptive neuro-fuzzy inference system (ANIFS) and artificial neural network (ANN) applied for indium (III) adsorption on carbonaceous materials. CHEM ENG COMMUN 2019. [DOI: 10.1080/00986445.2019.1566129] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Dison S. P. Franco
- Chemical Engineering Department, Federal University of Santa Maria–UFSM, Santa Maria, RS, Brazil
| | - Fábio A. Duarte
- Department of Chemistry, Federal University of Santa Maria–UFSM, Santa Maria, RS, Brazil
| | - Nina Paula G. Salau
- Chemical Engineering Department, Federal University of Santa Maria–UFSM, Santa Maria, RS, Brazil
| | - Guilherme L. Dotto
- Chemical Engineering Department, Federal University of Santa Maria–UFSM, Santa Maria, RS, Brazil
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19
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Soleymani AR, Moradi V, Saien J. Artificial neural network modeling of a pilot plant jet-mixing UV/hydrogen peroxide wastewater treatment system. CHEM ENG COMMUN 2018. [DOI: 10.1080/00986445.2018.1557152] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Ali Reza Soleymani
- Department of Applied Chemistry, Faculty of Science, Malayer University, Malayer, Iran
| | - Vahid Moradi
- Department of Mechanical Engineering, University of Victoria, Victoria, British Columbia, Canada
| | - Javad Saien
- Applied Chemistry Department, Faculty of Chemistry, Bu-Ali Sina University, Hamedan, Iran
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20
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Wu J, Liao W, Zhang J, Chen W. Microwave-assisted reaction of gelatin with tannic acid: non-thermal effect on the crosslinking process. CHEM ENG COMMUN 2018. [DOI: 10.1080/00986445.2018.1550394] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Jiacheng Wu
- National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu, China
| | - Wei Liao
- National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu, China
| | - Jinwei Zhang
- National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu, China
| | - Wuyong Chen
- National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu, China
- Key Laboratory of Leather Chemistry and Engineering of Ministry of Education, Sichuan University, Chengdu, China
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21
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Shokri A. Application of Sono–photo-Fenton process for degradation of phenol derivatives in petrochemical wastewater using full factorial design of experiment. INTERNATIONAL JOURNAL OF INDUSTRIAL CHEMISTRY 2018. [DOI: 10.1007/s40090-018-0159-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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22
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Shokry A, Vicente P, Escudero G, Pérez-Moya M, Graells M, Espuña A. Data-driven soft-sensors for online monitoring of batch processes with different initial conditions. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.07.014] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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23
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Zhang Y, Shi J, Xu Z, Chen Y, Song D. Degradation of tetracycline in a schorl/H 2O 2 system: Proposed mechanism and intermediates. CHEMOSPHERE 2018; 202:661-668. [PMID: 29602098 DOI: 10.1016/j.chemosphere.2018.03.116] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 03/16/2018] [Accepted: 03/17/2018] [Indexed: 06/08/2023]
Abstract
Schorl could perform as an extremely promising catalyst for decomposing tetracycline hydrochloride (TC) due to its high degradation efficiency, low cost, chemical stability, easy recovery and repeatable utilization. Comparisons of TC degradation indifferent systems showed that schorl/H2O2 system exhibited the optimum pollutant elimination and TOC removal efficiencies. Kinetics and possible mechanisms of TC degradation were clarified. The OH generated on the schorl surface and O2-/HO2 were the main reactive species responsible for TC oxidation. Six possible intermediates were identified, and possible transform mechanisms and pathways were explored. Active radicals were inclined to attack the CC double bond, dimethylamino and phenolic moieties of TC molecular. The principal intermediate products were generated through N-demethylation, oxidation and rearrangement.
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Affiliation(s)
- Yihan Zhang
- School of Engineering, China Pharmaceutical University, Nanjing 211198, People's Republic of China
| | - Jing Shi
- School of Engineering, China Pharmaceutical University, Nanjing 211198, People's Republic of China.
| | - Zhengwen Xu
- School of Environment, Nanjing University of Information Science & Technology, Nanjing 210044, People's Republic of China
| | - Yue Chen
- School of Engineering, China Pharmaceutical University, Nanjing 211198, People's Republic of China
| | - Duanmei Song
- School of Engineering, China Pharmaceutical University, Nanjing 211198, People's Republic of China
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Oladipo AS, Ajayi OA, Oladipo AA, Azarmi SL, Nurudeen Y, Atta AY, Ogunyemi SS. Magnetic recyclable eggshell-based mesoporous catalyst for biodiesel production from crude neem oil: Process optimization by central composite design and artificial neural network. CR CHIM 2018. [DOI: 10.1016/j.crci.2018.03.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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25
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Oladipo AA, Vaziri R, Abureesh MA. Highly robust AgIO3/MIL-53 (Fe) nanohybrid composites for degradation of organophosphorus pesticides in single and binary systems: Application of artificial neural networks modelling. J Taiwan Inst Chem Eng 2018. [DOI: 10.1016/j.jtice.2017.12.013] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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