Research article

Nanotechnological characterization of allofanite and faujasite (Y-faujasite) catalysts and comparing with a commercial FCC catalyst (X-zeolite)

  • Received: 11 July 2019 Accepted: 16 September 2019 Published: 17 October 2019
  • We studied the synthesis variables of the faujasite using natural clinker of the Cotopaxi volcano, and allophane (allofanite) from the province of Santo Domingo de los Tsachilas as raw materials, as well as their physicochemical properties and their influence on the catalytic efficiency for Ecuadorian oil and asphalt.
    The synthesized materials were subjected to laboratory tests, like thermogravimetric characterization, BET area, FTIR, chemisorption and AFM. Tests of catalytic activity in crude oil and asphalt with different °API and percentage of Sulfur showed ranges of optimal efficiency. These ranges contributed to obtain a logistic regression model with min. 90% accuracy, which was entered into a confusion matrix. This function can be optimized in the intervals of each of the variables of any refinery.
    It is concluded that the logistic regression model for catalytic efficiency is sensitive to changes in the amount of faujasite and allophane (allofanite) in the catalytic cracking process. In the same way, a fundamental dependence of the surface area (BET) was found, which for the case of allophane is formed in contribution of each of the nanopores whose size is in the order of 3 to 5 nm, while the faujasite has nanopore sizes from 17 to 35 nm.

    Citation: Edward Jiménez, Santiago Lalangui, Edison Guacho, Ana Emperatriz Paucar, Paulina Herrera, David Vaca, Humberto González, Patricia Ochoa, Ullrich Stahl, Gustavo López. Nanotechnological characterization of allofanite and faujasite (Y-faujasite) catalysts and comparing with a commercial FCC catalyst (X-zeolite)[J]. AIMS Materials Science, 2019, 6(6): 911-943. doi: 10.3934/matersci.2019.6.911

    Related Papers:

  • We studied the synthesis variables of the faujasite using natural clinker of the Cotopaxi volcano, and allophane (allofanite) from the province of Santo Domingo de los Tsachilas as raw materials, as well as their physicochemical properties and their influence on the catalytic efficiency for Ecuadorian oil and asphalt.
    The synthesized materials were subjected to laboratory tests, like thermogravimetric characterization, BET area, FTIR, chemisorption and AFM. Tests of catalytic activity in crude oil and asphalt with different °API and percentage of Sulfur showed ranges of optimal efficiency. These ranges contributed to obtain a logistic regression model with min. 90% accuracy, which was entered into a confusion matrix. This function can be optimized in the intervals of each of the variables of any refinery.
    It is concluded that the logistic regression model for catalytic efficiency is sensitive to changes in the amount of faujasite and allophane (allofanite) in the catalytic cracking process. In the same way, a fundamental dependence of the surface area (BET) was found, which for the case of allophane is formed in contribution of each of the nanopores whose size is in the order of 3 to 5 nm, while the faujasite has nanopore sizes from 17 to 35 nm.


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    [1] Centi G, Cambelli P, Perathoner S, et al. (2002) Environmental catalysis: trends and outlook. Catal Today 75: 3-15. doi: 10.1016/S0920-5861(02)00037-8
    [2] Degnan TF (2000) Applications of zeolites in petroleum refining. Top Catal 13: 349-356.
    [3] Pine LA, Maher PJ, Wachter WA (1984) Prediction of cracking catalyst behavior by a zeolite unit cell size model. J Catal 85: 466-476.
    [4] Arandes JM, Torre I, Azkoiti M J, et al. (2009) HZSM-5 zeolite as catalyst additive for residue cracking under FCC conditions. Energy Fuel 23: 4215-4223.
    [5] Madon R J (1991) Role of ZSM-5 and ultrastable Y zeolites for increasing gasoline octane number. J Catal 129: 275-287.
    [6] Chen NY, Garwood WE, Dwyer FG (1996) Shape selective catalysis, In: Heinemann H, Shape selective catalysis in industrial applications, 2 Eds., New York: Marcell Dekker, 62-136.
    [7] Chen NY, Degnan TF (1988) Industrial catalytic applications of zeolites. Chem Eng Prog 84: 32-41.
    [8] Ruthven DM, Post MFM (2001) Diffusion in zeolite molecular sieves, In: Bekkum H, Flanigen EM, Jacobs PA, et al, Introduction to Zeolite Science and Practice, 1 Ed., Amsterdam: Elsevier Science BV, 525-572.
    [9] O'connor CT, Van Steen E, Dry ME (1996) New catalytic applications of zeolites for petrochemicals. Stud Surf Sci Catal 102: 323-362. doi: 10.1016/S0167-2991(06)81407-2
    [10] Stoecker M (1994) Review on recent NMR results, advanced zeolite science and applications. Stud Surf Sci Catal 85: 429-507. doi: 10.1016/S0167-2991(08)60776-4
    [11] Avidan AA (1993) Origin, development and scope of FCC catalysis, In: Magee JS, Mitchell MM, Fluid Catalytic Cracking: Science and Technology, Amsterdam: Elsevier, 1-39.
    [12] Komvokis V, Tan LXL, Clough M, et al. (2016) Zeolites in fluid catalytic cracking (FCC), In: Xiao FS, Meng XJ, Zeolites in Sustainable Chemistry, Berlin: Springer, 271-297.
    [13] Levard C, Doelsch E, Basile-Doelsch I, et al. (2012) Structure and distribution of allophanes, imogolite and proto-imogolite in volcanic soils. Geoderma 183: 100-108.
    [14] Montarges-Pelletier E, Bogenez S, Pelletier M, et al. (2005) Synthetic allophane-like particles: textural properties. Colloids Surf A 225: 1-10.
    [15] Opfergelt S, Georg RB, Burton KW, et al. (2011) Silicon isotopes in allophane as a proxy for mineral formation in volcanic soils. Appl Geochem 26: 115-118. doi: 10.1016/j.apgeochem.2011.03.044
    [16] Kaufhold S, Ufer K, Kaufhold A, et al. (2010) Quantification of allophane from Ecuador. Clays Clay Miner 58: 707-716. doi: 10.1346/CCMN.2010.0580509
    [17] Kaufhold S, Kaufhold A, Jahn R, et al. (2009) A new massive deposit of allophane raw material in Ecuador. Clays Clay Miner 57: 72-81. doi: 10.1346/CCMN.2009.0570107
    [18] Jimenez Calderón EH, Paucar A, Herrera P (2017) Study of the catalytic activity of the faujasite from natural clinker and pumice. Phys Chem Indian J 12: 1-16.
    [19] Kaufhold S, Dorhmann Z, Abidin Z, et al. (2010) Allophane compared with other sorbent minerals for the removal of fluoride from water with particular focus on a mineable Ecuadorian Allophane. Appl Clay Sci 50: 25-33.
    [20] Carrera Villamarín HM (2013) Evaluación y caracterización del catalizador del proceso de craqueo catalítico fluidizado (FCC). Ecuador Universidad Central del Ecuador. Available from: http://www.dspace.uce.edu.ec/handle/25000/2462.
    [21] Elío J, Crowley Q, Scanlon R, et al (2017) Logistic regression model for detecting radon prone areas in Ireland. Sci Total Environ 599: 1317-1329.
    [22] López R (2006) Variables aleatorias y función de probabilidades, Cálculo de Probabilidades e Inferencia Estadística con tópicos de Econometría, Cuarta Edición, Venezuela: UCAB, 37-64. Available from: https://books.google.com.ec/books?id=qWwR4jP8LlgC&printsec=frontcover#v=onepage&q&f=false.
    [23] Arnau J (1996) Técnicas de análisis avanzadas y diseños de investigación: Tendencias actuales y líneas futuras de desarrollo, In: Arce C, Arnau J, Ato M, et al., Métodos y técnicas avanzadas de análisis de datos en ciencias del comportamiento. Primera Edición, España: Edicions Universitat de Barcelona, 5-19. Available from: https://books.google.com.ec/books/about/M%C3%A9todos_y_t%C3%A9cnicas_avanzadas_de_an%C3%A1li.html?id=VXlz3-Sxuh4C&printsec=frontcover&source=kp_read_button&redir_esc=y#v=onepage&q&f=false.
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