Application of principal component and hierarchical cluster analysis to classify fruits and vegetables commonly consumed in Ireland based on in vitro antioxidant activity

2011 ◽  
Vol 24 (2) ◽  
pp. 250-256 ◽  
Author(s):  
Ankit Patras ◽  
Nigel P. Brunton ◽  
Gerard Downey ◽  
Ashish Rawson ◽  
Keith Warriner ◽  
...  
2019 ◽  
Vol 15 (4) ◽  
pp. 345-352
Author(s):  
Acácio A.F. Zielinski ◽  
Charles W.I. Haminiuk ◽  
Trust Beta

Background: The consumption of herbal teas has gained much attention due to its healthpromoting benefits, including antioxidant, neuroprotective, antimicrobial, antitumor, and antiinflammatory effects. These biological activities are associated in part to the antioxidant activity of chemical compounds present in teas, especially flavonoids and phenolic acids. Objective: The aim of this study was to evaluate a total of 17 different botanical herbal infusions consumed in Brazil in terms of their phenolic antioxidants. Methods: The analysis performed were total phenolic compounds, total flavonoids, total flavonols, tannin content and in vitro antioxidant activity (DPPH, ABTS, CUPRAC, FRAP, and ORAC assays). Data were processed using univariate, bivariate and multivariate analysis (hierarchical cluster analysis). Results: The use of Hierarchical Cluster Analysis (HCA) suggested an unsupervised classification relationship based on level of functionality of the herbal teas. Higher levels of total phenolics, total flavonoids and antioxidant activity were found in Anemopaegma mirandum while higher values of tannin content and total flavonols were found in Peumus boldus. All antioxidant activity assays showed significant correlations among each other (r > 0.84, p < 0.001), and with total phenolic and flavonoids (r > 0.83, p < 0.001). Using HCA, three clusters were suggested and cluster 1 showed the highest functionality. Conclusion: The herbal infusions evaluated can be a good resource of bioactive compounds to consume and supplementing food products. Nevertheless, future studies should focus on the evaluation of these herbal teas using in vivo systems to understand the mechanisms of action when these different herbal infusions are used as beverages.


2019 ◽  
Vol 55 (No. 2) ◽  
pp. 83-86
Author(s):  
Marzena Iwańska ◽  
Danuta Martyniak ◽  
Marcin Martyniak ◽  
Dariusz Gozdowski

Data were obtained in a field experiment carried out at Plant Breeding and Acclimatization Institute Radzikow (central Poland) in 2009–2011. The aim of this study was a multivariate evaluation of 13 advanced lines and cultivars of Festuca rubra, taking into account traits important in seed production. Eleven traits of the grasses and plant resistance to diseases were evaluated. On the basis of multivariate analyses, i.e. hierarchical cluster analysis and principal component analysis, groups of varieties were separated and described, relationships between the traits were evaluated as well. The traits with the biggest influence on multivariate diversity of examined varieties were correlated with the first principal component i.e. height of plants, seeds yield, growth rate of plants, leaf width and time to beginning of earing.  


2017 ◽  
Vol 95 (3) ◽  
pp. 391 ◽  
Author(s):  
Boubakr Hadjkouider ◽  
Ammar Boutekrabt ◽  
Bahia Lallouche ◽  
Salim Lamine ◽  
Néjia Zoghlami

<p><strong>Background: </strong>In the present study, we have investigated the morphological variation in a set of five <em>Opuntia</em> species from the Algerian steppes using 49 UPOV descriptors.</p><p><strong>Questions: </strong>which of the 49 descriptors that can be used as powerful estimators of the phenotypic diversity within <em>Opuntia</em> species? How is the morphological diversity patterned in Algerian <em>Opuntia</em>?</p><p><strong>Species study/ Mathematical model: </strong><em>Opuntia ficus-indica, Opuntia amycleae, Opuntia streptacantha, Opuntia engelmannii, Opuntia robusta</em><strong>.</strong> Principal Components Analysis (PCA) and Hierarchical Cluster Analysis were used.</p><p><strong>Study site: </strong>Four counties were studied located in the Algerian steppes. The present research was carried out during 2014.</p><p><strong>Methods:</strong> 49 descriptors adopted by the International Union for the Protection of New Varieties of Plants (UPOV) were employed in the present research, where cladode, flower and fruit traits were used to determine the overall degree of polymorphism among 5 <em>Opuntia</em> species.</p><p><strong>Results:</strong> Principal Component Analysis and Hierarchical Cluster Analysis indicated a consistent differentiation between all studied species. The relative magnitude of the first two PCA eigenvectors showed that 8 descriptors out of 49 were identified as the most important descriptors for the classification of the species. The dendrogram performed on the calculated Euclidean distances between all species pairs allowed the identification of 3 groups, unlike the PCA that identified 4 groups. The species <em>Opuntia ficus-indica </em>and <em>Opuntia amycleae</em> were identified as very close morphologically.</p><p><strong>Conclusions: </strong>The present outcome represents a paramount step towards the fast selection of interesting species and for their best management and conservation.</p>


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