Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels

Abstract In this work, MIL-101, a metal organic framework, has been synthesized and examined in the adsorptive denitrogenation process. Due to the importance of adsorption capacity and selectivity, the effects of synthesis parameters including metal type, reagent ratio, time and temperature on the M...

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Autores principales:	Mohamad Songolzadeh, Mansooreh Soleimani, Maryam Takht Ravanchi
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2019
Materias:	MIL-101 Adsorptive denitrogenation Taguchi experimental design Multi-response optimization Science Q Petrology QE420-499
Acceso en línea:	https://doaj.org/article/d98506518962413699be56e446fe5bb4
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spelling	oai:doaj.org-article:d98506518962413699be56e446fe5bb42021-12-02T13:14:33ZMulti-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels10.1007/s12182-019-0351-51672-51071995-8226https://doaj.org/article/d98506518962413699be56e446fe5bb42019-07-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-019-0351-5https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract In this work, MIL-101, a metal organic framework, has been synthesized and examined in the adsorptive denitrogenation process. Due to the importance of adsorption capacity and selectivity, the effects of synthesis parameters including metal type, reagent ratio, time and temperature on the MIL-101 performance were investigated by measuring quinoline (QUI) separation from iso-octane. The optimum conditions were determined using a Taguchi experimental design and the multi-response optimization (multivariate statistical) method. Based on the arithmetic mean of normalized QUI adsorption capacity and QUI/dibenzothiophene (DBT) selectivity, as the objective function, the optimum value of synthesis parameters were found to be manganese as metal type in the structure, 180 °C for synthesis temperature, 15 h for synthesis time and 1.00 for reagent molar ratio. Under these conditions, QUI adsorption capacity and QUI/DBT selectivity were 19.3 mg-N/g-Ads. and 24.6, respectively. Accordingly, the arithmetic mean between normalized values of these measured parameters was equal to 1.10, which is in good agreement with the predicted value. The MIL-101 produced under optimum conditions was characterized by determining its specific surface area, X-ray powder diffraction patterns and Fourier transform infrared spectroscopy. Finally, isotherm and kinetic studies indicate that the Langmuir isotherm and pseudo-first-order model can successfully describe the experimental data.Mohamad SongolzadehMansooreh SoleimaniMaryam Takht RavanchiKeAi Communications Co., Ltd.articleMIL-101Adsorptive denitrogenationTaguchi experimental designMulti-response optimizationScienceQPetrologyQE420-499ENPetroleum Science, Vol 16, Iss 6, Pp 1442-1454 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	MIL-101 Adsorptive denitrogenation Taguchi experimental design Multi-response optimization Science Q Petrology QE420-499
spellingShingle	MIL-101 Adsorptive denitrogenation Taguchi experimental design Multi-response optimization Science Q Petrology QE420-499 Mohamad Songolzadeh Mansooreh Soleimani Maryam Takht Ravanchi Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels
description	Abstract In this work, MIL-101, a metal organic framework, has been synthesized and examined in the adsorptive denitrogenation process. Due to the importance of adsorption capacity and selectivity, the effects of synthesis parameters including metal type, reagent ratio, time and temperature on the MIL-101 performance were investigated by measuring quinoline (QUI) separation from iso-octane. The optimum conditions were determined using a Taguchi experimental design and the multi-response optimization (multivariate statistical) method. Based on the arithmetic mean of normalized QUI adsorption capacity and QUI/dibenzothiophene (DBT) selectivity, as the objective function, the optimum value of synthesis parameters were found to be manganese as metal type in the structure, 180 °C for synthesis temperature, 15 h for synthesis time and 1.00 for reagent molar ratio. Under these conditions, QUI adsorption capacity and QUI/DBT selectivity were 19.3 mg-N/g-Ads. and 24.6, respectively. Accordingly, the arithmetic mean between normalized values of these measured parameters was equal to 1.10, which is in good agreement with the predicted value. The MIL-101 produced under optimum conditions was characterized by determining its specific surface area, X-ray powder diffraction patterns and Fourier transform infrared spectroscopy. Finally, isotherm and kinetic studies indicate that the Langmuir isotherm and pseudo-first-order model can successfully describe the experimental data.
format	article
author	Mohamad Songolzadeh Mansooreh Soleimani Maryam Takht Ravanchi
author_facet	Mohamad Songolzadeh Mansooreh Soleimani Maryam Takht Ravanchi
author_sort	Mohamad Songolzadeh
title	Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels
title_short	Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels
title_full	Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels
title_fullStr	Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels
title_full_unstemmed	Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels
title_sort	multi-response optimization of mil-101 synthesis for selectively adsorbing n-compounds from fuels
publisher	KeAi Communications Co., Ltd.
publishDate	2019
url	https://doaj.org/article/d98506518962413699be56e446fe5bb4
work_keys_str_mv	AT mohamadsongolzadeh multiresponseoptimizationofmil101synthesisforselectivelyadsorbingncompoundsfromfuels AT mansoorehsoleimani multiresponseoptimizationofmil101synthesisforselectivelyadsorbingncompoundsfromfuels AT maryamtakhtravanchi multiresponseoptimizationofmil101synthesisforselectivelyadsorbingncompoundsfromfuels
_version_	1718393416558051328

Multi-response optimization of MIL-101 synthesis for selectively adsorbing N-compounds from fuels

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