Physico-chemical and Nutraceutical Characterization of Selected Indigenous Guava (Psidium guajava L.) Cultivars

Abstract In order to ascertain physicochemical and nutraceutical attributes, indigenous guava (Psidium guajava L.) cultivars were comprehensively characterized. Eight cultivars namely Gola, Chota Gola, Surahi, Choti Surahi, Sufaida, Sdabahar, Lal Badshah and Karela were selected due to their climati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ciência e tecnologia de alimentos 2021-01, Vol.41 (1), p.47-58
Hauptverfasser: YOUSAF, Ali Asad, ABBASI, Kashif Sarfraz, AHMAD, Asif, HASSAN, Imran, SOHAIL, Asma, QAYYUM, Abdul, AKRAM, Muhammad Aaqib
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Abstract In order to ascertain physicochemical and nutraceutical attributes, indigenous guava (Psidium guajava L.) cultivars were comprehensively characterized. Eight cultivars namely Gola, Chota Gola, Surahi, Choti Surahi, Sufaida, Sdabahar, Lal Badshah and Karela were selected due to their climatic adaptability and commercial suitability. All the cultivars showed significant variations in terms of their studied quality attributes. Amongst physical characteristics, Gola exhibited highest (79.9 mm3) GMD with lowest (50.3 mm3) was estimated in Choti Surahi. Insignificant varietal differences were observed in most of the proximate parameters as well as in mineral contents. Nutraceutical estimations showed significant variation in ascorbic acid (222.26-289.43 mg/100 g), total phenolic contents (94.06-190.64 mg GAE/100 g), total flavonoid contents (81.30-154.19 mg QE/100 g) and radical scavenging activity (27.70-78.15%) in the selected cultivars. A highly significant correlation (R2 = 0.9970 p < 0.05) was observed between ascorbic acid and radical scavenging activity. In sensory evaluation, Gola received over all maximum scores (8.8) amongst its counterparts. Processed data were then analyzed using Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA). The combination of PCA and HCA yielded in a sufficient discrimination of the examined guava cultivars. In PCA analysis, first two PCA components explained 65.98% of the total variation. Dendrogram successfully classified the tested cultivars into three major groups featuring dissimilarities amongst the cultivars. Research outcome will provide baseline for the farmers, researchers, exporters and other stalk holders to realize the ultimate potential of indigenous guava cultivars for their appropriate commercial utilization.
ISSN:0101-2061
1678-457X
1678-457X
DOI:10.1590/fst.35319