M. Zeaiter, J. M. Roger, V. Bellon-Maurel and D. N. Rutledge, “Robustness of Models Developed by Multivariate Calibration Part I: The Assessment of Robustness,” Trends in Analytical Chemistry, Vol. 23, No. 2, 2004, pp. 157-170.
http://www.sciencedirect.com/science/article/pii/S0165993604003073
http://dx.doi.org/10.1016/S0165-9936(04)00307-3

has been cited by the following article:

• TITLE: HS-SPME/GC-MS Analysis of VOC and Multivariate Techniques Applied to the Discrimination of Brazilian Varieties of Mango

  AUTHORS: Clícia Maria de Jesus Benevides, Marcos de Almeida Bezerra, Pedro Afonso P. Pereira, Jailson Bittencourt de Andrade

  KEYWORDS: Mango; Volatiles; Multivariate Techniques; HS-SPME/GC-MS; Chemometrics

  JOURNAL NAME: American Journal of Analytical Chemistry, Vol.5 No.3, February 17, 2014

  ABSTRACT: The present study analyzed the volatile compounds of three mango varieties (Tommy Atkins, Rosa and Espada) using the static headspace technique with SPME coupled to CG-MS. Multivariate methodologies, such as factorial design and response surface methodology, were used to optimize the conditions of adsorption and desorption of these substances. The data were evaluated by using principal components analysis (PCA) and hierarchical grouping analysis, in order to visualize grouping tendencies of volatile compounds. Thirty-seven volatile compounds belonging to different chemical classes, such as esters, terpenes, alcohols and others, were tentatively identified in the three varieties of mango. Amongst them, twenty-three presented chromatographic peaks with relative areas larger than 2%. The multivariate analysis made it possible to visualize the grouping tendencies of the mango samples, according to the presence of their respective volatile substances, and enabled the identification of the groups of substances responsible for the discrimination among the three varieties.