Abstract:A data set of 101 hetero-(both cyclic and open chain) sulfamate sodium salts, whose taste data are known, have been assembled and divided into sweet (S) (20 compounds) and non-sweet (N) (81 compounds) categories. The data set is made up of 56 compounds reported earlier, 32 synthesised in this work and another 13 reported since the earlier publications. Using the parameters x, y and z (measured for the RNH portion of RNHSO 3 Na using CPK models) and first order molecular connectivity, 1 χ ν it has been possible… Show more
“…11 and for compounds 57 -101 in ref. 12. Examination of the Table shows that in a few cases there is no clear-cut predominant taste and a decision has to be made as to which category to assign the compound.…”
Section: Methodsmentioning
confidence: 99%
“…21-25 which are now taken to be non-sweet in this and in our last paper on this work. 12 In fact with such a large group of compounds moving a few compounds from the S to N categories…”
Section: Methodsmentioning
confidence: 99%
“…11 and compounds 57 -101 in ref. 12. The structures of the thirty one newly synthesized compounds presented in this current work i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The mathematical techniques of linear discriminant analysis (LDA) 10,11,12 and quadratic discriminant analysis (QDA) 10,11,12 and, more recently, Tree analysis 12 have been employed in studying the data sets. The LDA and QDA analysis worsened somewhat as the size of the data set grew and thus Tree analysis was introduced to try to improve the classifications.…”
Section: Introductionmentioning
confidence: 99%
“…12 Each data set was examined using the Corey-Pauling-Koltun (CPK) parameters for the RNH portion of the heterosulfamate i.e. RNHSO 3 Na and a calculated first order molecular connectivity value (…”
Thirty one new sodium heterosulfamates, RNHSO 3 Na, where the R portion contains mainly thiazole, benzothiazole, thiadiazole and pyridine ring structures, have been synthesized and their taste portfolios have been assessed. A database of 132 heterosulfamates (both open-chain and cyclic) has been formed by combining these new compounds with an existing set of 101 heterosulfamates which were previously synthesized and for which taste data are available.Simple descriptors have been obtained using (i) measurements with Corey-Pauling-Koltun (CPK) space-filling models giving x, y and z dimensions and a volume V CPK , (ii) calculated first order molecular connectivities ( 1 χ v ) and (iii) the calculated Spartan program parameters to obtain HOMO, LUMO energies, the solvation energy E solv and V SPARTAN . The techniques of linear (LDA) and quadratic (QDA) discriminant analysis and Tree analysis have then been employed to develop structure-taste relationships (SARs) that classify the sweet (S) and non-sweet (N) compounds into separate categories. In the LDA analysis 70 % of the compounds were correctly classified (this compares with 65 % when the smaller data set of 101 compounds was used) and in the QDA analysis 68 % were correctly classified (compared to 80 % previously). TheTree analysis correctly classified 81 % (compared to 86 % previously). An alternative Tree analysis derived using the Cerius2 program and a set of physicochemical descriptors correctly classified only 54 % of the compounds.
“…11 and for compounds 57 -101 in ref. 12. Examination of the Table shows that in a few cases there is no clear-cut predominant taste and a decision has to be made as to which category to assign the compound.…”
Section: Methodsmentioning
confidence: 99%
“…21-25 which are now taken to be non-sweet in this and in our last paper on this work. 12 In fact with such a large group of compounds moving a few compounds from the S to N categories…”
Section: Methodsmentioning
confidence: 99%
“…11 and compounds 57 -101 in ref. 12. The structures of the thirty one newly synthesized compounds presented in this current work i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The mathematical techniques of linear discriminant analysis (LDA) 10,11,12 and quadratic discriminant analysis (QDA) 10,11,12 and, more recently, Tree analysis 12 have been employed in studying the data sets. The LDA and QDA analysis worsened somewhat as the size of the data set grew and thus Tree analysis was introduced to try to improve the classifications.…”
Section: Introductionmentioning
confidence: 99%
“…12 Each data set was examined using the Corey-Pauling-Koltun (CPK) parameters for the RNH portion of the heterosulfamate i.e. RNHSO 3 Na and a calculated first order molecular connectivity value (…”
Thirty one new sodium heterosulfamates, RNHSO 3 Na, where the R portion contains mainly thiazole, benzothiazole, thiadiazole and pyridine ring structures, have been synthesized and their taste portfolios have been assessed. A database of 132 heterosulfamates (both open-chain and cyclic) has been formed by combining these new compounds with an existing set of 101 heterosulfamates which were previously synthesized and for which taste data are available.Simple descriptors have been obtained using (i) measurements with Corey-Pauling-Koltun (CPK) space-filling models giving x, y and z dimensions and a volume V CPK , (ii) calculated first order molecular connectivities ( 1 χ v ) and (iii) the calculated Spartan program parameters to obtain HOMO, LUMO energies, the solvation energy E solv and V SPARTAN . The techniques of linear (LDA) and quadratic (QDA) discriminant analysis and Tree analysis have then been employed to develop structure-taste relationships (SARs) that classify the sweet (S) and non-sweet (N) compounds into separate categories. In the LDA analysis 70 % of the compounds were correctly classified (this compares with 65 % when the smaller data set of 101 compounds was used) and in the QDA analysis 68 % were correctly classified (compared to 80 % previously). TheTree analysis correctly classified 81 % (compared to 86 % previously). An alternative Tree analysis derived using the Cerius2 program and a set of physicochemical descriptors correctly classified only 54 % of the compounds.
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