2016
DOI: 10.1016/j.indcrop.2016.04.056
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Response surface methodology for optimization of solvent extraction to recovery of acetic acid from black liquor derived from Typha latifolia pulping process

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Cited by 24 publications
(12 citation statements)
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“…This also, intriguingly, raises the possibility to form hydrophobic eutectic liquids with other acidic hydrogen-bond donors such as the carboxylic acids that have been targeted for extraction from fermentation broths [38][39][40][41]60 using TOPO and also for parallel formation for hydrophobic eutectic liquids. 22,23,[26][27][28] Liquid-liquid extraction studies…”
Section: Miscibility Of Topo:phenol (χ Topo = 050) With Watermentioning
confidence: 99%
See 1 more Smart Citation
“…This also, intriguingly, raises the possibility to form hydrophobic eutectic liquids with other acidic hydrogen-bond donors such as the carboxylic acids that have been targeted for extraction from fermentation broths [38][39][40][41]60 using TOPO and also for parallel formation for hydrophobic eutectic liquids. 22,23,[26][27][28] Liquid-liquid extraction studies…”
Section: Miscibility Of Topo:phenol (χ Topo = 050) With Watermentioning
confidence: 99%
“…Trioctylphosphine oxide (TOPO) has many applications as a capping agent for the production of quantum confined nanomaterials. [32][33][34][35][36] and as an extractant 37 for metal ions and organic acids [38][39][40][41] and phenolic compounds. [42][43][44] However, an issue with TOPO is its relatively low solubility in hydrocarbon solvents that are the choice for aqueous-organic liquid-liquid extraction processes.…”
Section: Introductionmentioning
confidence: 99%
“…e following second-order polynomial model was used to describe the relationship between the independent variables and the dependent variable [39]:…”
Section: Experimental Design Of Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…Both SMSS and MSS were executed to analyze screened yield, Kappa number, and brightness of pulps, and the results are given in Tables 2 and 3 (Sridhar et al 2012). The values (Prob > F) less than 0.0001 indicated the significant of model term (Kim et al 2016). For linear models, Prob > F values (> 0.1000) indicated that the model terms were not significant.…”
Section: Response Surface Analysismentioning
confidence: 99%