2015
DOI: 10.1016/j.foodres.2015.09.007
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Profiling of passion fruit volatiles: An effective tool to discriminate between species and varieties

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Cited by 48 publications
(21 citation statements)
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“…In recent years, HS-SPME/GC-MS strategy has been successfully applied in the characterization of the volatile profile of new fruits [ 10 ]. Furthermore, the use of multivariate statistical methods to process the volatomic data, allowed the discrimination between different cultivars, varieties, and species and even between different maturation stages of the different fruits [ 9 , 10 , 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, HS-SPME/GC-MS strategy has been successfully applied in the characterization of the volatile profile of new fruits [ 10 ]. Furthermore, the use of multivariate statistical methods to process the volatomic data, allowed the discrimination between different cultivars, varieties, and species and even between different maturation stages of the different fruits [ 9 , 10 , 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…Besides, some of the extensively used kernel functions including linear, sigmoid, polynomial and radial basis function (RBF) can be carried out to construct models. Among these, the RBF is popular in many problems [ 65 , 66 ] and was chosen in our study. For RBF kernel function, two parameters are kernel width (γ) and regularization parameter (C), and the classification result of the given data are affected by the pairs of parameters.…”
Section: Methodsmentioning
confidence: 99%
“…Passiflora genus (Passifloraceae) has approximately 500 species. Its potential for the identification and application of bioactive pharmaceutical-interest molecules has been exploited extensively in the last decades (Figueira, Freitas, Cruz, Figueira, & Câmara, 2015;Corrêa et al, 2016). Studies with endophytic microbiota of this genus of plant have also been reported successfully (Seetharaman et al, 2017;Rathnayake, Kumar, Jayasinghe, Araya, & Fujimoto, 2017).…”
Section: Introductionmentioning
confidence: 99%