Skip to content
Research Article Open access CC BY 4.0

A Study on the Identification and Comparison of Functional Components in Different Species of Passion Fruit Vine Leaves

Poornima Jeyasekaran, M. Deepa

Journal of Pharmaceutical Research International · pp. 501–507 · Published 16 Dec 2021

10.9734/jpri/2021/v33i58B34230

Abstract

Functional components are found abundantly in plants which are non-nutritive and bio active compounds that prevents the onset of degenerative diseases and protects the body by maintaining the health.  The objective of this study is to identify the chemical components of different varieties of passion fruit leaves (Passiflora edulis f. flavicarpa,Passifloraedulisf. edulis and Passiflora quadrangularis) available wildly in the hills of Tamil Nadu, India. Young tender passion fruit leaves can be used as a raw leafy green as they contain vitamin A and niacin. The dried leaves are used for calming teas and herbal remedies. The functional components were identified using Fourier Transform Infrared Spectroscopy FTIR(ATR) spectrophotometer. The leaves contain polyphenols, triterpenes, carotenoids, polysaccharides, amino acids and flavonoids which have a lot of beneficial effect on human health especially in preventing degenerative diseases. This paves way to use these amazing abundant greens in clinical studies as ayurvedic preparations and treat illness naturally.

Functional compounds Passiflora edulis f. flavicarpa Passiflora edulisf. edulis and Passiflora quadrangularis FTIR(ATR)

Cited by 5

Determination of the Antimicrobial Activity of Ethanolic Extracts of Some Passiflora L. Species, First Introduced in Azerbaijan

Vusala Badalova, Tahir Abbasali Suleymanov, Ramazan Mammadov · Bulletin of Science and Practice · 2022

The Emerging Passion Fruit Industry in Florida

Ellen Garcia, Ali Sarkhosh, Tie Liu · EDIS · 2023

Exploring the Bioactive Potential of Exotic Fruits from Sri Lanka: A Treasure Trove of Medicinal Properties

D. M. Danuri Savindi Dissanayake, I. G. Sahasra Heshani, Sadhana Hassan · Combinatorial Chemistry & High Throughput Screening · 2024

Showing 3 of 5 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

1

Page views

0

PDF downloads

0

Outbound clicks

5

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.