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
- Uchechi Ezere, Chijioke Oriaku, Ozochi Akwuegbu, Fast Interpolating Spline for Diurnal Temperature Patterns , Communication In Physical Sciences: Vol. 8 No. 3 (2022): VOLUME 8 ISSUE 3
- Emmanuel Oluwemimo Falodun, Faith, Technology, and Safety: A Theoretical Framework for Religious Leaders Using Artificial Intelligence to Advocate for Gun Violence Prevention , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Amadi Ugwulo Chinyere, Modelling Glucose-Insulin Dynamics: Insights for Diabetes Management , Communication In Physical Sciences: Vol. 11 No. 3 (2024): VOLUME 11 ISSUE 3
- Franklin Akwasi Adjei, Artificial Intelligence and Machine Learning in Environmental Health Science: A Review of Emerging Applications , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
- Robinson Ogochukwu , Comprehensive Review of Artificial Intelligence Contributions to Understanding Music, Religion, and Influencing Future and Emerging Global Trends Robinson Ogochukwu Isichei , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Mercy Uwem Useh, Eno Linus, Analysis of Heavy Metals in Some Food Crops and Soils Impacted with Crude Oil in Southern Nigeria , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Abubakar Tahiru, Oluwasanmi M. Odeniran, Shardrack Amoako, Developing Artificial Intelligence-Powered Circular Bioeconomy Models That Transform Forestry Residues into High-Value Materials and Renewable Energy Solutions , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Musa Runde, M. H. Shagal, Y. Abba, Cow Dung and Kitchen Waste as Economical Source of Biogas: Production and Analysis , Communication In Physical Sciences: Vol. 7 No. 3 (2021): VOLUME 7 ISSUE 3
- Akaezue Nelson Nwagbogwu, Ngiangia Alalibor Thompson, Onyeaju Michael Chukwudi, Thermal Properties of Diffusing Species into Some Host Metals , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- A.O Obioha, Spatial Variability of key climate and air quality parameters across some Nigerian cities , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
You may also start an advanced similarity search for this article.



