Agricultural Science and Food Processing
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TY - JOUR
AU - Ehiem, James Chinaka
AU - Tosin, Paul
AU - Igbozulike, Augustine O.
AU - Oduma, Okechukwu
AU - Okoro, Oduma I.
PY - 2025
DA - 2025/09/26
TI - Modeling of Measured Physical Properties and Determination of Chemical Composition of Black Tamarind (Dialium Guineense) Seed
JO - Agricultural Science and Food Processing
T2 - Agricultural Science and Food Processing
JF - Agricultural Science and Food Processing
VL - 2
IS - 3
SP - 123
EP - 132
DO - 10.62762/ASFP.2025.430476
UR - https://www.icck.org/article/abs/ASFP.2025.430476
KW - modelling
KW - seed
KW - physical properties
KW - measurement
KW - composition
AB - Modeling of physical properties and determination of the chemical composition of BTS were studied at 12.25% wet basis. Mass correlation with principal dimensions was modeled and evaluated using statistical parameters including chi-square ($\chi^2$), coefficient of determination (R$^2$), root mean square error (RMSE), and standard error (SE). Chemical properties were analyzed using standard techniques. Results showed mean values of seed mass, major, intermediate, and minor diameters of 0.18$\pm$0.02 g, 0.85$\pm$0.007 mm, 0.73$\pm$0.074 mm, and 0.38$\pm$0.046 mm, respectively. The seed was spherical (72.64%) with mean aspect ratio (1.17$\pm$0.124), ellipsoid ratio (2.27$\pm$0.31), and eccentricity (0.4768$\pm$0.16). The correlation of mass with intermediate diameter, and with the interaction of intermediate and minor diameters, produced the best non-linear regression models. The intermediate diameter model yielded the highest R² (98%) and lowest $\chi^2$ (2.4 $\times$ 10$^{-5}$). The interaction model achieved R² of 99% with the lowest RMSE (0.0032), $\chi^2$ (0.0029), and SE (1.04 $\times$ 10$^{-5}$) for predicting seed mass. Proximate and phytochemical compositions were not significantly different ($p>0.05$) from recommended levels by WHO and NAFDAC. This study provides a basis for developing standardized, cost-effective processing methods to enhance market value and ensure compliance with international quality standards.
SN - 3066-1579
PB - Institute of Central Computation and Knowledge
LA - English
ER -
@article{Ehiem2025Modeling,
author = {James Chinaka Ehiem and Paul Tosin and Augustine O. Igbozulike and Okechukwu Oduma and Oduma I. Okoro},
title = {Modeling of Measured Physical Properties and Determination of Chemical Composition of Black Tamarind (Dialium Guineense) Seed},
journal = {Agricultural Science and Food Processing},
year = {2025},
volume = {2},
number = {3},
pages = {123-132},
doi = {10.62762/ASFP.2025.430476},
url = {https://www.icck.org/article/abs/ASFP.2025.430476},
abstract = {Modeling of physical properties and determination of the chemical composition of BTS were studied at 12.25\% wet basis. Mass correlation with principal dimensions was modeled and evaluated using statistical parameters including chi-square (\$\chi^2\$), coefficient of determination (R\$^2\$), root mean square error (RMSE), and standard error (SE). Chemical properties were analyzed using standard techniques. Results showed mean values of seed mass, major, intermediate, and minor diameters of 0.18\$\pm\$0.02 g, 0.85\$\pm\$0.007 mm, 0.73\$\pm\$0.074 mm, and 0.38\$\pm\$0.046 mm, respectively. The seed was spherical (72.64\%) with mean aspect ratio (1.17\$\pm\$0.124), ellipsoid ratio (2.27\$\pm\$0.31), and eccentricity (0.4768\$\pm\$0.16). The correlation of mass with intermediate diameter, and with the interaction of intermediate and minor diameters, produced the best non-linear regression models. The intermediate diameter model yielded the highest R² (98\%) and lowest \$\chi^2\$ (2.4 \$\times\$ 10\$^{-5}\$). The interaction model achieved R² of 99\% with the lowest RMSE (0.0032), \$\chi^2\$ (0.0029), and SE (1.04 \$\times\$ 10\$^{-5}\$) for predicting seed mass. Proximate and phytochemical compositions were not significantly different (\$p>0.05\$) from recommended levels by WHO and NAFDAC. This study provides a basis for developing standardized, cost-effective processing methods to enhance market value and ensure compliance with international quality standards.},
keywords = {modelling, seed, physical properties, measurement, composition},
issn = {3066-1579},
publisher = {Institute of Central Computation and Knowledge}
}
Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Agricultural Science and Food Processing
ISSN: 3066-1579 (Online) | ISSN: 3066-1560 (Print)
Email: [email protected]
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