Comments on “Thermophysical Properties of para-Anisaldehyde (1) + Chlorobenzene (2) at Temperatures of (303.15, 313.15, and 323.15) K and a Pressure of 0.1 MPa” (Baskaran, R.; Kubendran, T. R. J. Chem. Eng. Data 2008, 53, 978−982)

Abstract

Comments on "Thermophysical Properties of para-Anisaldehydewhere PCP m,T , PCP 1,T , and PCP 2,T are the numerical values of the physicochemical property of the mixture and liquids 1 and 2 at temperature T, respectively; f 1 and f 2 are the volume (mass or mole) fractions of liquids 1 and 2 in the mixture; and J i represents the model constants. The J i terms could be calculated by regressing (log PCP m,/T by a no intercept least-squares analysis.3 Representing the PCPs in binary mixtures at various temperatures provides the possibility of predicting the undetermined data by interpolation techniques.As noted above, Baskaran and Kubendran used the model for correlating the kinematic viscosity and ultrasonic velocity of the binary mixtures which has been used in previous articles. 4,5 As shown earlier, the Jouyban-Acree model provided the most accurate correlation/prediction results among other similar models for the viscosity of binary mixtures. 4 This has also been shown for mathematically representing experimental density, 6 in which N is the number of data points in each set. The MRD values could be directly compared with the experimentally obtained relative standard deviation (RSD) values for assessing the accuracy of a model for representing the data. The obtained results for the calculated data (expressed as 100 · MRD) and the experimental uncertainty are listed in Table 1. As examples, the 100 · MRD values for the density and viscosity of chlorobenzene from the literature and the experimental values (see Table 1 of the original work of Baskaran and Kubendran) are 0.18 and 0.73, respectively. The main superiorities of the Jouyban-Acree model for representing PCPs of liquid mixtures are: It possesses a uniform mathematical representation which makes it easy to use. It provides more accurate calculations. It represents the PCPs of liquid mixtures at various temperatures, whereas other equations should be trained for each temperature. The Jouyban-Acree model could be trained employing the PCP data at the lowest and the highest temperatures and then is able to predict the PCPs in all possible binary compositions and temperatures of interest by interpolation. It needs PCP 1,T and PCP 2,T values for each temperature as input values. The equation coefficients for binary systems, once determined, can be used to estimate PCPs of ternary and higher-order multicomponent systems as discussed elsewhere.8 Whenever possible, we recommend including the temperature dependence into the Jouyban-Acree model (e.g.,