2013
DOI: 10.1016/j.indcrop.2012.03.036
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Optimization of glucose conversion to 5-hydroxymethylfulfural using [BMIM]Cl with ytterbium triflate

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Cited by 29 publications
(12 citation statements)
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“…It has been reported that the fructose conversion in subcritcal water was linearly correlated with the yield of HMF, meaning that HMF formation is a quite robust reaction [7]. The same is true for glucose conversion [8]. Such a trend can be seen in Table 1.…”
Section: Possible Contribution Of Slug Flow To Hmf Production and Selmentioning
confidence: 52%
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“…It has been reported that the fructose conversion in subcritcal water was linearly correlated with the yield of HMF, meaning that HMF formation is a quite robust reaction [7]. The same is true for glucose conversion [8]. Such a trend can be seen in Table 1.…”
Section: Possible Contribution Of Slug Flow To Hmf Production and Selmentioning
confidence: 52%
“…The above reaction rate for HMF can be re-written as: (8) where the parameters  and  are as follows: …”
Section: Theoretical Section: Continuous Production Of Hmf and Its Exmentioning
confidence: 99%
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“…For examples, a variety of recovery methods using the acid-induced production of HMF [1,3], the microwave-assisted hydrothermal degradation [9], or the heterogeneous catalyst such as ytterbium triflate [10], zeolite [11], and zirconium [12], have been reported. The production process of HMF affords many by-products in the reaction pathway such as the conversion of fructose to HMF [13].…”
Section: Introductionmentioning
confidence: 99%
“…The effect of three independent variables (temperature, reaction time and fructose loading) on the response (5-HMF yield) was studied by employing a factorial CCD of RSM, which was a collection of mathematical and statistical techniques for designing experiments, analysing the effects of variables, developing models and optimising the process variables to obtain the optimum response [31][32][33][34]. The experimental data were fitted with a low-order polynomial equation to evaluate the effect of each independent variable to the response, which was later analysed to determine the optimum process conditions.…”
Section: Design Of Experimentsmentioning
confidence: 99%