2002
DOI: 10.1006/jfca.2002.1058
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Chemometric Survey of Italian Bottled Mineral Waters by Means of their Labelled Physico-chemical and Chemical Composition

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Cited by 91 publications
(46 citation statements)
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“…The use of standardized data allows for the ability to assign a standard numerical weight to each variable, which have different magnitudes and ranges of variation (Versari, Parpinello, & Galassi, 2002). Because variables with large variances tend to have a larger effect on the resulting clusters compared to variables with small variances, the PC-scores were loaded as new input data for clustering study.…”
Section: Discussionmentioning
confidence: 99%
“…The use of standardized data allows for the ability to assign a standard numerical weight to each variable, which have different magnitudes and ranges of variation (Versari, Parpinello, & Galassi, 2002). Because variables with large variances tend to have a larger effect on the resulting clusters compared to variables with small variances, the PC-scores were loaded as new input data for clustering study.…”
Section: Discussionmentioning
confidence: 99%
“…The impairment in the water quality could have a detrimental effect on individual health in general. Mineral elements are essential for lives and are present within the water bodies (Versari et al, 2002;Kutlu et al, 2013). Water quality models are routinely monitored in order to ascertain the effect of biological, physical, and chemical transformation of physicochemical constituents of concern and to investigate the impact of altered boundary conditions on aquatic ecosystems (Wagenschein and Rode, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…In particular, some papers provided original data about minor and trace elements in BNMWs Dinelli et al, 2012aDinelli et al, , 2012b; whereas other papers report a general hydrochemical classification Naddeo, Zarra, & Belgiorno, 2008;Misund, Frengstad, Siewers, & Reimann, 1999;Versari, Parpinello, & Galassi, 2002). However, the uniqueness of this work lies in the large sample size that can better represent and describe the different Italian geological conditions, as well as enhance and reinforce the results regarding the hydrochemical classification.…”
Section: Introductionmentioning
confidence: 94%