2015
DOI: 10.1016/j.jallcom.2015.01.029
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Efficient KF loaded on MgCaAl hydrotalcite-like compounds in the transesterification of Jatropha curcas oil

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Cited by 21 publications
(10 citation statements)
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“…The vibration around 1630 cm –1 can be assigned to the bending vibration mode of HO–H that usually exists in interlayer water molecules . The peak at 1360 cm –1 is attributable to CO 3 2– by the incorporation of CO 2 during the reaction period . The spectral band at 1063 cm –1 also corresponded to interlayer carbonate .…”
Section: Resultsmentioning
confidence: 96%
“…The vibration around 1630 cm –1 can be assigned to the bending vibration mode of HO–H that usually exists in interlayer water molecules . The peak at 1360 cm –1 is attributable to CO 3 2– by the incorporation of CO 2 during the reaction period . The spectral band at 1063 cm –1 also corresponded to interlayer carbonate .…”
Section: Resultsmentioning
confidence: 96%
“…Transesterification of JCO was carried out by KF loaded on MgCaAl hydrotalcite to get biodiesel. Highest conversion of 90% was attained while KF loading was 30 wt% with equal percentage of Mg to Ca 15 …”
Section: Introductionmentioning
confidence: 98%
“…The transesterification conditions were studied to decide the optimal conditions by Sr 2 + -CaO/MgO. 13 15 However, a lot of catalytic transesterification was done previously, but still efficient catalyst has to be needed to achieve the desired results. Practically, catalysts have been shown good activity in the feedstocks containing low free fatty acids (FFA), but these catalysts almost failed in high FFA feedstocks.…”
Section: Introductionmentioning
confidence: 99%
“…Potassium Fluoride (KF) is an alkaline halide molecule with an active and reactive F (fluorine) element, making it easier to rebound with metals. An increase in its effects leads to a higher catalyst activity [1][2][3][4][5]. However, when it is added in surplus, it decreases the catalyst activity.…”
Section: Introductionmentioning
confidence: 99%
“…The relation between each operating variables and the responses is shown in Equation(1). Y = 1.05699 + 0.13766 X1 -0.21133 X12 + 0.07788 X2 -0.02041 X22 + 0.12708 X2 -0.02395 X32 -0.0775 X1X2-0.0225 X1X3 + 0.0675 X2X3 + 0.0675 X2X3(1)…”
mentioning
confidence: 99%