Comparative Study of the Proximate Analysis of Shea Butter Seed (Vitellaria paradoxa) Across three Different Locations in the Savanna Region of Nigeria
Keywords:
Comparative study, proximate analysis, Shea butter, Savanna regionAbstract
This study investigates the nutritional composition of shea butter seeds (Vitellaria paradoxa) from three different locations in Nigeria: Oke-Ogun, Ilorin, and Gbako-kasarawa. Shea butter, derived from the seed, is a valuable resource with diverse applications, including food, cosmetics, and traditional medicine. The proximate analysis involved determining moisture content, ash content, lipid content (fat), crude protein, crude fiber, and carbohydrates. Samples were collected, prepared, and analyzed using standard methods. The results indicate variations in the nutritional composition across the locations, with Ilorin exhibiting the highest moisture, protein, and fiber content, and Minna showing the highest carbohydrate content. However, no significant differences were observed in mean values across the locations. The study underscores the nutritional significance of shea butter seeds, emphasizing their potential as a source of essential nutrients and energy. These findings provide valuable insights for promoting the consumption of shea fruit and its products, contributing to food security and economic development. Moreover, they highlight the need for further research on shea butter seeds and the conservation of Vitellaria paradoxa for sustainable utilization.
Downloads
Published
Issue
Section
Similar Articles
- Kudamnya, Ebenezer Agayina, Godwin Inieke Joshua, Ochelebe, Ibu, Okon, Emmanuel Etim , Evaluation of the Hydrochemistry and Pollution Levels in Groundwater of Njahasang, Southeast Nigeria , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Anorue, Onyinyechi Favour, Atuma, David Esther, A Mathematical Model of Gang Membership and Control , Communication In Physical Sciences: Vol. 9 No. 1 (2023): VOLUME 9 ISSUE 1
- Olalekan Lawrence Ojo, Joseph Sunday Ojo, Omotoyosi Omotayo Omoyele, Statistical Characterization of Surface Duct Conditions and their Implications on Microwave Propagation Over Lagos, Nigeria , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Joseph Amajama, Ahmed Tunde Ibrahim , Julius Ushie Akwagiobe, Influence of Atmospheric Temperature on the Signal Strength of Mobile Phone Communication , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Yisa Adeniyi Abolade, Bridging Mathematical Foundations and Intelligent Systems: A Statistical and Machine Learning Approach , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Martins Moses, Ultraviolet-Visible Spectrophotometric Determination of Caffeine in Different Tea Samples , Communication In Physical Sciences: Vol. 9 No. 2 (2023): VOLUME 9 ISSUE 2
- Uzoma Nwokoma Esomchi, Performance of Generated Models with Statistical Tools for Estimation of Solar Radiation in Umudike, Abia State, Nigeria , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Usman Ibrahim, Musa Muhammad, Yakubu Azeh, Muhammad Umar Badeggi , Isolation and Synthesis of Cellulose Nanofibers From Cassava Inner Peel Using Phosphoric Acid , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Adebayo Adegbenro, Arinze Madueke, Aniedi Ojo, Cynthia Alabi, AI-Driven Wealth Advisory: Machine Learning Models for Personalized Investment Portfolios and Risk Optimization , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Joseph Amajama, Ahmed Tunde Ibrahim, Julius Ushie Akwagiobe, Atmospheric Humidity Impact on the Strength of Mobile Phone Communication Signal , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
You may also start an advanced similarity search for this article.



