1990
DOI: 10.1039/ft9908602237
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Classification of organic solvents based on correlation between dielectric ? parameter and empirical solvent polarity parameter E N T

Abstract: It is proposed that the ratio p2/V, from electrostatic solvation theory, be used to designate solvent polarity; p is t h e dipole moment and V the molar volume. The 101 solvents analysed can be divided into four classes (and two subclasses) by means of t h e correlation between the dielectric B parameter (proportional to p2/V) and the empirical solvent polarity parameter € :. Although t h e method proposed is very simple, t h e results agree very well with those obtained by a much more complex multivariate sta… Show more

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Cited by 34 publications
(11 citation statements)
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“…Interestingly, these classifications are carried out for various objects (types of solvents) using different chemometric tools, for instance, PCA, KNN (k-nearest neighbours method), Parker-Reichardt classification, CP-ANN (counter-propagation artificial neural network), ANN (artificial neural network), PCA, and CA, obtaining similar results. An example may be the study performed by Dutkiewicz [44] using the Parker-Reichardt classification, whose results highly correspond to those obtained by a more complex multivariate statistical method presented by M. Chastrette et al [43]. Moreover, there are applications with few tools applied.…”
Section: Classificationsupporting
confidence: 64%
“…Interestingly, these classifications are carried out for various objects (types of solvents) using different chemometric tools, for instance, PCA, KNN (k-nearest neighbours method), Parker-Reichardt classification, CP-ANN (counter-propagation artificial neural network), ANN (artificial neural network), PCA, and CA, obtaining similar results. An example may be the study performed by Dutkiewicz [44] using the Parker-Reichardt classification, whose results highly correspond to those obtained by a more complex multivariate statistical method presented by M. Chastrette et al [43]. Moreover, there are applications with few tools applied.…”
Section: Classificationsupporting
confidence: 64%
“…This crucial aspect was not discussed in the underestimated work of Dutkiewicz. Also, the origin of the different plots as a function of the property of solvent could not really be explained [41] …”
Section: Resultsmentioning
confidence: 99%
“…It is worth mentioning that the use of V m as an appropriate variable in combination with the dipole moment of the solvent molecule μ for interpretation of E T (30) solvent polarity (μ 2 /V m ) has already been suggested by Dutkiewicz. [41] Separate linear correlations of μ 2 /V m with the E T N parameter for various types of solvents regarding their chemical properties such as nonpolar, aprotic or protic were found. Therefore, the product μ 2 • N also linearly correlates with E T N , because N is the reciprocal to V m .…”
Section: Correlation Of the Empirical Polarity Parameters E T (30) Wimentioning
confidence: 91%
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