Density F and viscosity η were measured for binary mixtures of cotton seed + babassu and soybean + babassu biodiesel over the composition range at several temperatures of (293.15, 313.15, 333.15, 353.15, and 373.15) K and atmospheric pressure. The viscosity deviation (∆η) was determined and fitted by a Redlich-Kister type function in terms of mass fraction (w). The Joback's method combined with Lee-Kesler and Rackett equations were used to calculate the densities of the binary mixtures of cotton seed + babassu and soybean + babassu biodiesel. The experimental and estimated density values gave almost identical values with a relative differences of less than 0.21 %. The Ceriani's group contribution method was used to predict the viscosity, with a maximum relative deviation of 31 %.
Glycerol, a co-product of biodiesel production, was evaluated as carbon source for biosurfactant production. For this reason, seven non-pathogenic biosurfactant-producing Bacillus strains, isolated from the tank of chlorination at the Wastewater Treatment Plant at Federal University of Ceara, were screened. The production of biosurfactant was verified by determining the surface tension value, as well as the emulsifying capacity of the free-cell broth against soy oil, kerosene and N-hexadecane. Best results were achieved when using LAMI005 and LAMI009 strains, whose biosurfactant reduced the surface tension of the broth to 28.8 ± 0.0 and 27.1 ± 0.1 mN m(-1), respectively. Additionally, at 72 h of cultivation, 441.06 and 267.56 mg L(-1) of surfactin were produced by LAMI005 and LAMI009, respectively. The biosurfactants were capable of forming stable emulsions with various hydrocarbons, such as soy oil and kerosene. Analyses carried out with high performance liquid chromatography (HPLC) showed that the biosurfactant produced by Bacillus subtilis LAMI009 and LAMI005 was compatible with the commercially available surfactin standard. The values of minimum surface tension and the CMC of the produced biosurfactant indicated that it is feasible to produce biosurfactants from a residual and renewable and low-cost carbon source, such as glycerol.
A new
group contribution method based on GCVOL model developed
by Elbro et al. in 1991 [Elbro, H. S.; Fredenslund, A.; Rasmussen,
P. Ind. Chem. Eng. Res. 1991, 30, 2576–2582] is proposed for the estimation of
ionic liquids density over a wide range of temperature and pressure.
A total of 102 new groups for ionic liquids were introduced to the
already 60 existing groups revised and proposed in 2003 by Ihmels
and Gmehling [Ihmels, E. C.; Gmehling, J. Ind. Chem. Eng.
Res. 2003, 42, 408–412].
These groups were proposed based on a collection of density data from
literature. The databank contains data of 864 different ionic liquids,
including dicationic and tricationic species, and a total of 21 845
data points, covering a temperature range of 251.62–473.15
K and a pressure range of 0.1–300.0 MPa. An average absolute
relative deviation (%AARD) of 0.83% was obtained, indicating that
our model is able to predict densities of a great variety of ionic
liquids accurately.
Viscosity η and density ρ of binary mixtures of coconut + colza and coconut + soybean biodiesel have been measured over the whole composition range at T = (293.15, 313.15, 333.15, 353.15, and 373.15) K and at atmospheric pressure. Densities and viscosities data were correlated with R-square adjustment and the Andrade equation, respectively, with good agreement. The deviations of viscosities (Δη) have been calculated from the experimental data. To predict the density and viscosity we have used Joback’s method and a group contribution model proposed by Ceriani et al. (J. Chem. Eng. Data
2008, 53, 877−880), respectively.
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