Extraction of Acrylic, Propionic, and Butyric Acid Using Aliquat 336 in Oleyl Alcohol: Equilibria and Effect of Temperature

Keshav, Amit; Wasewar, Kailas L.; Chand, Shri

doi:10.1021/ie8010337

Cited by 78 publications

(75 citation statements)

References 22 publications

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“…Similar observations have been made by many researchers. 33,34 Therefore, it is concluded that lower temperature and pH with higher C TBP favour the extraction efficiency. Optimization of process variables C GA0 , C TBP , T, and pH 0 was performed using the numerical optimization method to achieve optimal conditions to maximize the extraction.…”

Section: Response Surface Analysis Process Optimization and Validationmentioning

confidence: 99%

Reactive Separation of Gallic Acid: Experimentation and Optimization Using Response Surface Methodology and Artificial Neural Network

Rewatkar

2017

Chem.Biochem.Eng.Q.

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Gallic acid is a major phenolic pollutant present in the wastewater generated from cork boiling, olive mill, and pharmaceutical industries. Experimental and statistical modelling using response surface methodology (RSM) and artificial neural network (ANN) were carried out for reactive separation of gallic acid from aqueous stream using tri-nbutyl phosphate (TBP) in hexanol. TBP has a more significant effect on extraction efficiency as compared to temperature and pH. The optimum conditions of 2.34 g L -1 , 65.65 % v/v, 19 o C, and 1.8 of initial concentration of gallic acid, concentration of TBP, temperature, and pH, respectively, were obtained using RSM. Under optimum conditions, extraction efficiency of 99.45 % was obtained for gallic acid. The ANN and RSM results were compared with experimental unseen data. Error analysis suggested the better performance of ANN for extraction efficiency predictions.

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Section: Response Surface Analysis Process Optimization and Validationmentioning

confidence: 99%

Reactive Separation of Gallic Acid: Experimentation and Optimization Using Response Surface Methodology and Artificial Neural Network

Rewatkar

2017

Chem.Biochem.Eng.Q.

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“…Therefore, it is important to study the effect of temperature on the reactive extraction. Many researchers have studied the influence of temperature on % E and reported that the extractability decreases with increasing temperature …”

Section: Resultsmentioning

confidence: 99%

Recovery of volatile fatty acids by reactive extraction using tri‐n‐octylamine and tri‐butyl phosphate in different solvents: Equilibrium studies, pH and temperature effect, and optimization using multivariate taguchi approach

et al. 2017

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Recovery of volatile fatty acids from fermentation broth has been investigated by adopting an intensified approach using extractants tri-noctylamine and tri-butyl phosphate dissolved in 1-decanol and methyl isobutyl ketone. The effects on distribution coefficient (K D ) and extraction efficiency (%E) were studied by varying the operating conditions like temperature (293.15-323.15) K, pH (2.5, 3.5, and 4.5), and compositions of extractant (10, 20, and 30 %). Taguchi (L 36 ) orthogonal design with five factors, namely diluents, extractant type, composition, temperature, and pH, was employed for the multivariate optimization of reactive extraction of volatile fatty acids. In the Taguchi approach, a "larger is better" criterion was adopted to maximize K D and %E. The statistical analysis indicated that the degree of influence on K D by experimental variables follows the following trend: extractant type (X 2 ) > pH (X 5 ) > diluent type (X 1 ) > temperature (X 4 ) > extractant concentration (X 1 ). The trend for %E observed is as follows: extractant type (X 2 ) > pH (X 5 ) > temperature (X 4 ) > extractant concentration (X 1 ) > diluent type (X 1 ). The combination of optimum parameters were obtained as X 1 ¼ 1-decanol, X 2 ¼ tri-n-octylamine, X 3 ¼ 20 %, X 4 ¼ 293.15 K, and X 5 ¼ 3.5. A confirmation run was conducted using these parameters and K D and %E values from this run were determined to be 8.65 and of 89.64 %, respectively, which were very close to the predicted values K D ¼ 10.36 and %E ¼ 91.26 %.

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“…Furthermore, the IR data also support the proposed reaction scheme. Keshav et al [11] and Zhenyu et al [12] also suggest such complexation mechanism in their study of extraction of propionic acid and P-aminobenzenesulfonic acid, respectively, by QCl.…”

Section: Mechanistic Considerationmentioning

confidence: 93%

Separation of norbixin from Bixa orellana seed raw dye by Aliquat‐336

Sharma

Bora

Borthakur

et al. 2012

Env Prog and Sustain Energy

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The reactive extraction of Bixa orellana seed pigment norbixin with cationic carrier Aliquat‐336 (QCl) in a two phase system has been studied. A raw alkali extract of Bixa orellana pigments in 0.5% sodium hydroxide solution is used as aqueous phase and Aliquat‐336 dissolved in hexane as solvent is used as the organic phase. In the aqueous alkaline phase, the pigment (bixin + norbixin) exists as sodium norbixinate in ionized form. This sodium norbixinate forms complex with QCl by an ion‐exchange mechanism which is pH dependent. Re‐extraction occurs via another ion‐exchange reaction with H+ ion with another aqueous phase of low pH. Complexation expressed as degree of extraction increases with pH reaching almost an asymptotic whereafter tends to decrease slightly. Around 99% recovery of norbixin as its complex with Aliquat‐336 was achieved at an organic phase to aqueous phase volume ratio 2:1. 98% of the norbixin‐QCl complex was recovered as norbixin in aqueous solution at pH 4. The results of this investigation may be considered reasonable to believe that reactive extraction is likely to provide an attractive and alternative separation method for the recovery of norbixin. © 2011 American Institute of Chemical Engineers Environ Prog, 32: 134–138, 2013.

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Extraction of Acrylic, Propionic, and Butyric Acid Using Aliquat 336 in Oleyl Alcohol: Equilibria and Effect of Temperature

Cited by 78 publications

References 22 publications

Reactive Separation of Gallic Acid: Experimentation and Optimization Using Response Surface Methodology and Artificial Neural Network

Reactive Separation of Gallic Acid: Experimentation and Optimization Using Response Surface Methodology and Artificial Neural Network

Recovery of volatile fatty acids by reactive extraction using tri‐n‐octylamine and tri‐butyl phosphate in different solvents: Equilibrium studies, pH and temperature effect, and optimization using multivariate taguchi approach

Separation of norbixin from Bixa orellana seed raw dye by Aliquat‐336

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