%0 Journal Article %1 Blanco-Gomis1998 %A Blanco-Gomis, D. %A Herrero-Sánchez, I. %A Mangas Alonso, J. J. %D 1998 %J Analyst %K HPLC analyte apples chemometrics flow-injection %P 1187-1191 %R 10.1039/a708534f %T Characterization of apple cider cultivars by chemometric techniques using data from high-performance liquid chromatography and flow-injection analysis. %V 123 %X Anal. techniques (HPLC and flow-injection anal.) for detg. sugars, org. acids, polyphenols and pectins in apples, were employed along with chemometrics in the ripening and classification studies of cider apples. The use of principal component anal. allowed the authors to reduce the dimensionality of the data matrix; three new variables were obtained that accounted for 76% of variance. The projection of the apple cultivars in the reduced space allowed us to visualize the data structure on the basis of the degree of ripening and technol. characteristics of the cider apple varieties monitored. Linear discriminant anal. computed a canonical variable with a prediction capacity of 93%, using three groups for cancellation in order to validate the method. The use of modeling techniques, such as SIMCA and partial least squares made an adequate grouping of apple cultivars feasible on the basis of their degree of ripening. on SciFinder (R)

@article{Blanco-Gomis1998, abstract = {Anal. techniques (HPLC and flow-injection anal.) for detg. sugars, org. acids, polyphenols and pectins in apples, were employed along with chemometrics in the ripening and classification studies of cider apples. The use of principal component anal. allowed the authors to reduce the dimensionality of the data matrix; three new variables were obtained that accounted for 76% of variance. The projection of the apple cultivars in the reduced space allowed us to visualize the data structure on the basis of the degree of ripening and technol. characteristics of the cider apple varieties monitored. Linear discriminant anal. computed a canonical variable with a prediction capacity of 93%, using three groups for cancellation in order to validate the method. The use of modeling techniques, such as SIMCA and partial least squares made an adequate grouping of apple cultivars feasible on the basis of their degree of ripening. [on SciFinder (R)]}, added-at = {2010-03-09T22:47:23.000+0100}, author = {Blanco-Gomis, D. and Herrero-Sánchez, I. and Mangas Alonso, J. J.}, biburl = {https://www.bibsonomy.org/bibtex/27a4be7acde9925657bc8befc57bd0b5b/afcallender}, doi = {10.1039/a708534f}, file = {Blanco-Gomis1998.pdf:indexed\\Blanco-Gomis1998.pdf:PDF}, interhash = {03da451a2af55052521d221899c4b756}, intrahash = {7a4be7acde9925657bc8befc57bd0b5b}, journal = {Analyst}, keywords = {HPLC analyte apples chemometrics flow-injection}, pages = {1187-1191}, timestamp = {2010-03-09T22:56:34.000+0100}, title = {Characterization of apple cider cultivars by chemometric techniques using data from high-performance liquid chromatography and flow-injection analysis.}, volume = 123, year = 1998 }