DNA BARCODING OF DIFFERENT BANANA CULTIVARS AND ASSESSMENT OF OIL EXTRACTED FROM THEIR PEELS AS A VALUE-ADDING COMPONENT

Banana (Musa sp) peels, usually considered agricultural wastes have been identified as a valuable bioresource for non-food industrial applications. This study combined DNA barcoding and biochemical analysis was combined to assess peel oil from four Musa cultivars in Enugu State, Nigeria. Taxonomical identification using RbcL gene classified the cultivars as Musa ABB group/Ukpoko nsukpo (cooking), Musa acuminata AAA/Une (dessert), Musa AAB/Une nsukpo (silk banana) and Musa AAB/Ukpoko (horned plantain). Oils extracted using Soxhlet method were analyzed for physicochemical properties including fatty acid composition using GC-MS. Oil yields ranged from 7.4% to 14.4%, with the highest yield in Musa ABB group/Ukpoko nsukpo. High kinematic viscosity and saponification values shows oil is suitable for soap and biolubricant production, while fatty acid profiles rich in oleic, palmitic, linoleic, and lauric acids support applications in biofuels, cosmetics, and other bio-based products. ANOVA demonstrated cultivar-specific differences in fatty acid content (p < 0.05) and phylogenetic analysis confirmed genetic divergence among cultivars. This is the first research in the region applying this integrated approach to provide insights linking genetic identity to biochemical diversity. Results from this study demonstrates the potential of banana peel as a sustainable raw material for industrial valorization, support local economy and agro-waste valorization

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-15
DOI
https://doi.org/10.5281/zenodo.17122294
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DNA BARCODING OF DIFFERENT BANANA CULTIVARS AND ASSESSMENT OF OIL EXTRACTED FROM THEIR PEELS AS A VALUE-ADDING COMPONENT

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

DNA BARCODING OF DIFFERENT BANANA CULTIVARS AND ASSESSMENT OF OIL EXTRACTED FROM THEIR PEELS AS A VALUE-ADDING COMPONENT

article en

Abstract

Banana (Musa sp) peels, usually considered agricultural wastes have been identified as a valuable bioresource for non-food industrial applications. This study combined DNA barcoding and biochemical analysis was combined to assess peel oil from four Musa cultivars in Enugu State, Nigeria. Taxonomical identification using RbcL gene classified the cultivars as Musa ABB group/Ukpoko nsukpo (cooking), Musa acuminata AAA/Une (dessert), Musa AAB/Une nsukpo (silk banana) and Musa AAB/Ukpoko (horned plantain). Oils extracted using Soxhlet method were analyzed for physicochemical properties including fatty acid composition using GC-MS. Oil yields ranged from 7.4% to 14.4%, with the highest yield in Musa ABB group/Ukpoko nsukpo. High kinematic viscosity and saponification values shows oil is suitable for soap and biolubricant production, while fatty acid profiles rich in oleic, palmitic, linoleic, and lauric acids support applications in biofuels, cosmetics, and other bio-based products. ANOVA demonstrated cultivar-specific differences in fatty acid content (p < 0.05) and phylogenetic analysis confirmed genetic divergence among cultivars. This is the first research in the region applying this integrated approach to provide insights linking genetic identity to biochemical diversity. Results from this study demonstrates the potential of banana peel as a sustainable raw material for industrial valorization, support local economy and agro-waste valorization

Zenodo (CERN European Organization for Nuclear Research)
University of Nigeria (NG)
Responsible consumption and production
Openalex Percentile: Top 43%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.