Kinetics, thermodynamics and process parameter impact on solvent extraction of oil from <i>Colocynthis vulgaris</i> Shrad (melon) seeds

Kadurumba, Chukwuma H.; Orakwue, Charles C.; Agu, Chinedu M.

doi:10.1080/22243682.2018.1445978

Cited by 10 publications

(11 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of IGK oil yield, it was found to be 68.80% (by weight) (see Table 3). This value was higher than oil yield values reported for C vulgaris Shrad , 28 cottonseed, 63 and soybean, 64 hence, an indication of its economic benefit and possible industrial application of IGKO. As a result, IGKO could constitute an alternative source of oil for industrial application due to its relatively high oil yield.…”

Section: Resultsmentioning

confidence: 54%

“…By the combination of Equations ( 13), (28), and (30), the equation that describes the development of C t vs time and temperature model for pseudo-second order model can be given as Equation (31).…”

Section: MMmentioning

confidence: 99%

“…Schneider seed, 23 Prunus armeniaca L., 24 Sacha inchi (Plukenetia volubilis) seeds, 25 coconut waste, 26 T catappa L. kernel, 27 Colocynthis Vulgaris Shrad. 28 Similarly, I gabonensis is not left out, as solvent extraction methods have been utilized to extract oil from it. 11,15 In solvent extraction, it is important to note that the knowledge of the kinetic of oil extraction is of paramount importance because it assists in the determination of the highest oil yield within the studied time intervals, hence, the need to carry out extensive study on the kinetics of oil extraction from I gabonensis seed kernels.…”

Section: Introductionmentioning

confidence: 99%

“…29 Previously, researchers have carried out studies on the kinetics of oil extraction from seeds, and nuts. For instance, oil extraction kinetics have been applied to the extraction of oil from Colocynthis Vulgaris Shrad, 28 J curcas, 30 sunflower seeds, 31,32 fluted pumpkin seed, 33 coconut waste, 26 Neem seed (Azadirachta indica A. Juss) 34 and Prunus persica, 35 and from these studies it has been established that the ease of oil extraction from different seed/nuts varies. 36 Hence, there is need to study of the kinetics of oil extraction from IGKs, and to the best of knowledge of the authors', there has not been any published work in that regard.…”

Section: Introductionmentioning

confidence: 99%

“…Some of these fruits, seeds, and nuts are, Hazelnut ( Corylus avellana L.), 22 Maclura pomifera (Rafin.) Schneider seed, 23 Prunus armeniaca L., 24 Sacha inchi ( Plukenetia volubilis ) seeds, 25 coconut waste, 26 T catappa L. kernel, 27 Colocynthis Vulgaris Shrad 28 . Similarly, I gabonensis is not left out, as solvent extraction methods have been utilized to extract oil from it 11,15 .…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Extraction modeling, kinetics, and thermodynamics of solvent extraction of Irvingia gabonensis kernel oil, for possible industrial application

Agu

Menkiti

Ohale

et al. 2020

Engineering Reports

View full text Add to dashboard Cite

The effects of the temperature, time, and particle size, in addition to the kinetics and thermodynamics parameters, of Irvingia gabonensis kernel oil (IGKO) yield were investigated. The highest oil yield of 68.80% (by weight) was obtained at 55 • C, 150 minutes, and 0.5 mm. The evaluated physicochemical properties of IGKO indicated that viscosity, acidity, dielectric strength, flash, and pour points were 19.37 mm 2 s −1 , 5.18 mg KOH g −1 , 25.83 kV, 285 • C, and 17 • C, respectively, suggesting its feasibility as transformer fluid upon further treatments. Between the pseudo-second order and hyperbolic kinetic models studied, the former best describes the experimental data. ΔH, ΔS, and ΔG values of IGKO extraction at 0.5 mm and 328 K were, 251.81 kJ mol −1 , 1.08 kJ mol −1 , and −105.49 kJ mol −1 , respectively, indicating the endothermic, irreversible, and spontaneous nature of the process. The kinetic model equations that describe the process were successfully developed for both models based on the process parameters.

show abstract

Section: Resultsmentioning

confidence: 54%

Section: MMmentioning

confidence: 99%