Mixed oxides tuned with alkaline metals to improve glycerolysis for sustainable biodiesel production

Bálsamo, Nancy; Sapag, Karim; Oliva, Marcos Iván; Pecchi, Gina; Eimer, Griselda A.; Crivello, Mónica E.

doi:10.1016/j.cattod.2016.06.005

Cited by 21 publications

(9 citation statements)

References 43 publications

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“…The synthesis method and the characterization of the catalysts, as well as a preliminary catalytic testing in the transesterification reaction, have been exhaustively discussed in a previous publication [20].…”

Section: Process Descriptionmentioning

confidence: 99%

r Comparison of Neural Networks. An Estimation Model in Yield of Monoglycerides from Biodiesel by-Product

Álvarez¹,

Bálsamo²,

Modesti³

et al. 2019

JESTR

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Biodiesel is generally manufactured by transesterification, obtaining glycerol as a by-product. The transesterification of methyl stearate selectively produced monoglycerides, for glycerol valuation. Mixed oxides containing lithium catalysed the reaction. The purpose of this work was to develop and compare mathematical models obtained through artificial neural networks (ANN), capable for characterising the relationship between the mole percent conversion of methyl stearate and the yield of the products mono-, di-and triglycerides. The lowest mean squared error (MSE), the highest correlation coefficient (R), similarity in the evolution of validation and simulation errors and absence of data overlearning were considered to select the best model. Three ANNs with backpropagation structures were compared. They evidenced high correspondence between the estimated product yield values and the interpolated experimental ones. The ANN containing 35 neurons with sigmoid transfer function in the hidden layer and a linear neuron in the output one was the simplest. Consequently, the 5, 15 and 60 neurons were also explored in the hidden layer. The ANN structured with an intermediate number of neurons (35) achieved the most adequate MSE, considering mono-and diglyceride products (0.011193, 0.000489). The development of these models contributes to the dynamic estimation of the process.

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Section: Process Descriptionmentioning

confidence: 99%

r Comparison of Neural Networks. An Estimation Model in Yield of Monoglycerides from Biodiesel by-Product

Álvarez¹,

Bálsamo²,

Modesti³

et al. 2019

JESTR

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“…The more triglycerides that break down causes more free fatty acids to be produced [1,2]. Monoacylglycerol (MAG) / monoglyceride is a chemical oleo compound that is widely used in the food, pharmaceutical, cosmetics, detergent [3,4], oil well drilling [5], textiles [6], packaging [7], plastic processing [7], and construction material [8]. Triglycerides are widely converted to monoglycerides and diglyc-erides, because these two product are very widely used in food processing.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Monoglycerides Production Using KF/CaO-MgO Heterogeneous Catalysis

Buchori

Anggoro

Sumantri

et al. 2019

Bull. Chem. React. Eng. Catal.

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The production of monoglyceride or monoacylglycerol (MAG) from triglycerides and glycerol has been studied. The purpose of this research was to study the effect of using KF/CaO-MgO catalyst on MAG production with batch reactor. The effect of reaction temperature, reaction time, and catalyst loading was investigated using Response Surface Methods (RSM). The reaction temperature, reaction time, and catalyst loading were varied at 200-220 ºC, 2-4 hours, and 0.1-0.3 % w/w, respectively. The maximum yield of monoglyceride 41.58% was achieved the optimum conditions of catalyst loading of 0.19 % (w/w), reaction temperature of 208.4 ºC, and reaction time of 3.20 hours. Copyright © 2019 BCREC Group. All rights reserved

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“…e reaction processes can be divided into homogeneous and heterogeneous ones depending on the type of catalysts, and researchers are more inclined to heterogeneous research for its advantages such as simple steps, easy postprocessing, and less pollution [5,6]. Heterogeneous catalysts mainly include inorganic acid salts, solid heteropoly acids, metal oxides [7,8], zeolites [9], and hydrotalcites [10]. Among them, the single and mixed metal oxides were studied by numerous studies due to their environment-friendly, cheap, and efficient catalytic characteristics, which were generally prepared by coprecipitation, sol-gel, impregnation, and hydrothermal methods [11].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of a New Copper-Based Supramolecular Catalyst and Its Catalytic Performance for Biodiesel Production

Chang

Chen²,

Zhou

2018

International Journal of Chemical Engineering

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A new copper-based supramolecular (β-cyclodextrins, β-CD) catalyst was synthesized and used for transesterification of Xanthium sibiricum Patr oil to biodiesel. This catalyst exhibited high activity (88.63% FAME yield) in transesterification under the ratio of methanol-oil: 40 : 1; catalyst dosage: 8 wt.%; reaction temperature: 120°C; and reaction time: 9 h. The XRD, SEM, TEM, XPS, and BET characterization results showed that Cu-β-CD catalyst was amorphous and had clear mesoporous structure (17.2 nm) as compared with the native β-CD. This phenomenon is attributed to the coordination of Cu and β-CD.

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Mixed oxides tuned with alkaline metals to improve glycerolysis for sustainable biodiesel production

Cited by 21 publications

References 43 publications

r Comparison of Neural Networks. An Estimation Model in Yield of Monoglycerides from Biodiesel by-Product

r Comparison of Neural Networks. An Estimation Model in Yield of Monoglycerides from Biodiesel by-Product

Optimization of Monoglycerides Production Using KF/CaO-MgO Heterogeneous Catalysis

Synthesis of a New Copper-Based Supramolecular Catalyst and Its Catalytic Performance for Biodiesel Production

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