Study on denitration performance of MnO2@CeO2 core-shell catalyst supported on nickel foam

Zhang, Lei; Yao, Yan; Wang, Yusu; Yang, Jia; Han, Yibo

doi:10.1007/s00339-022-05365-8

Cited by 11 publications

(2 citation statements)

References 27 publications

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“…0.1 M H2SO4 is used to soak the adsorbed Fe3O4@PpPD-SA to remove MnO2 from the reaction [65]. Each adsorption-desorption cycle is as a cycle, and the data obtained is shown in Figure 9 (a).…”

Section: Adsorption Cycle and Selective Adsorptionmentioning

confidence: 99%

Magnetite@poly(p-phenylenediamine) core–shell composite modified with salicylaldehyde for adsorption and separation of Mn (VII) from polluted water

Zheng

Ren²,

Wang³

et al. 2022

J Nanostruct Chem

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Fe3O4@PpPD) composite modified with salicylaldehyde (SA) was fabricated as adsorbent to remove Mn (VII) from wastewater. The Fe3O4 microspheres endow the adsorbent with the ability of rapid solid-liquid separation. The PpPD with acid and alkali resistance can protect Fe3O4 from corrosion while introducing a large amount of N atoms to adsorb Mn (VII). The introduction of SA increases the specific surface area and adsorption sites of the adsorbent. The effects of pH, time and temperature on the adsorption process were studied. At pH=2, the maximum adsorption capacity (Q) is as high as 148.34 mg g -1 , which is attributed to the complexation/chelation and electrostatic interaction between amino and hydroxyl groups and Mn (VII). It is found that the adsorption process conforms to the pseudo-second order kinetic model and Langmuir isotherm model. Thermodynamics researches demonstrate that the adsorption is a spontaneous endothermic process. After four adsorption cycle tests, the adsorption capacity losses only 1%. Moreover, high adsorption efficiency in river water and mixed metal ions solution proves that the prepared Fe3O4@PpPD-SA composite possesses excellent Q in removing Mn (VII).

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Section: Adsorption Cycle and Selective Adsorptionmentioning

confidence: 99%

Magnetite@poly(p-phenylenediamine) core–shell composite modified with salicylaldehyde for adsorption and separation of Mn (VII) from polluted water

Zheng

Ren²,

Wang³

et al. 2022

J Nanostruct Chem

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show abstract

“…In the recent century, the need for fossil fuels has risen due to the high levels of energy required for the rapid industrialization of the world 1 . The extraction of oil and gas from underground fields and their combustion for generating heat/energy 2 has undesired environmental effect 3 and is accompanied by the production of large amounts of undesired pollutants 4 – 6 , mainly carbon monoxide (CO) 7 , carbon dioxide (CO 2 ) 8 , 9 , sulfur dioxide (SO 2 ) 10 , and hydrogen sulfide (H 2 S) 11 , 12 . The most widely used method for removing these gases is absorption 13 .…”

Section: Introductionmentioning

confidence: 99%

A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids

Abdi

Hadipoor

Esmaeili-Faraj

et al. 2022

Sci Rep

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Absorption has always been an attractive process for removing hydrogen sulfide (H2S). Posing unique properties and promising removal capacity, ionic liquids (ILs) are potential media for H2S capture. Engineering design of such absorption process needs accurate measurements or reliable estimation of the H2S solubility in ILs. Since experimental measurements are time-consuming and expensive, this study utilizes machine learning methods to monitor H2S solubility in fifteen various ILs accurately. Six robust machine learning methods, including adaptive neuro-fuzzy inference system, least-squares support vector machine (LS-SVM), radial basis function, cascade, multilayer perceptron, and generalized regression neural networks, are implemented/compared. A vast experimental databank comprising 792 datasets was utilized. Temperature, pressure, acentric factor, critical pressure, and critical temperature of investigated ILs are the affecting parameters of our models. Sensitivity and statistical error analysis were utilized to assess the performance and accuracy of the proposed models. The calculated solubility data and the derived models were validated using seven statistical criteria. The obtained results showed that the LS-SVM accurately predicts H2S solubility in ILs and possesses R2, RMSE, MSE, RRSE, RAE, MAE, and AARD of 0.99798, 0.01079, 0.00012, 6.35%, 4.35%, 0.0060, and 4.03, respectively. It was found that the H2S solubility adversely relates to the temperature and directly depends on the pressure. Furthermore, the combination of OMIM+ and Tf2N-, i.e., [OMIM][Tf2N] ionic liquid, is the best choice for H2S capture among the investigated absorbents. The H2S solubility in this ionic liquid can reach more than 0.8 in terms of mole fraction.

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Preparation of MnO2@CeO2 core–shell catalyst and its application in SCO denitration performance

et al. 2022

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Study on denitration performance of MnO2@CeO2 core-shell catalyst supported on nickel foam

Cited by 11 publications

References 27 publications

Magnetite@poly(p-phenylenediamine) core–shell composite modified with salicylaldehyde for adsorption and separation of Mn (VII) from polluted water

Magnetite@poly(p-phenylenediamine) core–shell composite modified with salicylaldehyde for adsorption and separation of Mn (VII) from polluted water

A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids

Preparation of MnO2@CeO2 core–shell catalyst and its application in SCO denitration performance

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