Determination of the Elemental Composition of the Pulp, Seed and Fruit Coat of Black Velvet Tamarind (&lt;em&gt;Dialium guineense&lt;/em&gt;) using Instrumental Neutron Activation Analysis

Ofosu, Daniel Osei; Opata, N. S.; Gyampo, O.; Odamtten, G.T.

doi:10.19026/rjaset.6.3557

Cited by 3 publications

(2 citation statements)

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“…It is classified as a legume and belongs to the family Fabaceae (Besong et al, 2016). The whole fruits have been reported to be a good source of nutrients, micronutrients and minerals (Achoba et al, 1992;Adamu et al, 2015;Asoiro et al, n.d.;Ofosu et al, 2013;Okudu et al, 2017) and found to have antioxidant properties relevant in the treatment/management of chronic diseases (Bamikole et al, 2018). The fruit is structurally made of the seed coat (epicarp), the pulp (mesocarp) and the seed (endocarp).…”

Section: Introductionmentioning

confidence: 99%

“…The fruit is structurally made of the seed coat (epicarp), the pulp (mesocarp) and the seed (endocarp). The mesocarp is the part eaten by humans however the endocarp and epicarp have been reported to have some nutrients and oil which can be put to use in the animal feed industry (Ofosu et al, 2013). Apart from directly eating its mesocarp, it has been used either whole or its fruit-fraction in the production of beverage drink (Adeola and Aworh, 2010), ingredient in candy making (Samakradhamrongthai and Jannu, 2021), used in the production of citric acid (Ajiboye and Sani, 2015), used for remediation (Onyia et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Machine learning approach for classification of <i>Dalium guineense</i> fruits

Akpan,

George,

Onwe

2023

wojast

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Having a mixture of similar items that needs to be separated for processing or for storage is a common challenge. Dalium guineense (DG) is a wild fruit with epicarp that could be broken accidentally or intentionally during harvest or in the course of processing. This research attempts to develop a model for classification of DG fruits into whole fruits and deshelled fruits each with fifteen physical characteristics (Length (l), width (w), thickness (t), geometric mean diameter, arithmetic mean diameter, specific mean diameter, equivalent mean diameter, surface area, aspect ratio, surface area, sphericity, unit mass, lw (product of length and width), lt (product of length and thickness) and wt (product of width and thickness)) using a machine learning approach. A 15-3-2 Neural Network (NN) architecture was used to develop the classification model. The deshelled fruits were all correctly classified while 95 of the whole fruits were correctly classified with 5 of the fruits misclassified. The result shows that the classification model was able to achieve an accuracy of 97.5%, sensitivity of 100%, and precision of 95.2%. Increasing the number of processing elements in the hidden processing layer of the NN contributed no positive effect on the performance of the model. This model is therefore suitable for classification purpose, leading to appropriate processing and handling of DG with high accuracy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine learning approach for classification of <i>Dalium guineense</i> fruits

Akpan,

George,

Onwe

2023

wojast

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Nutritional and medicinal properties of underexploited legume trees from West Africa

Burlando

Palmero

Cornara

2019

Critical Reviews in Food Science and Nutrition

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Nutritional and chemical composition of black velvet tamarind (Dialium guineense Willd) and its influence on animal production: A review

et al. 2023

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The world population is expected to double by 2050, creating a greater demand for animal protein sources. This calls for an increase in the supply of animal-derived foods in order to avoid food scarcity in the future. Non-ruminants, which would have been a panacea to this increased demand for animal-derived foods, have suffered from the rising costs of feed ingredient world-wide. The increase in the prices of conventional feedstuffs have attracted the attention of researchers on the potentials of lesser-known tropical medicinal plants like Dialium guineense Willd (black velvet tamarind) as a feed resource for non-ruminants. The increase in prices of conventional feedstuffs have attracted the attention of researchers on the potentials of lesser-known tropical medicinal plants. One such lesser-known tropical plant that can be used in chicken and livestock production is black velvet tamarind. The plant is found in many parts of the world. It belongs to the family Fabaceae, has high forage yield, resistant to drought and insects, and does not require annual cultivation. The whole seed is moderate in crude protein and fibre but high in carbohydrates. The leaf, on the other hand, is low in carbohydrate, moderate in crude protein, and high in ash. D. guineense stem bark and fruit are excellent source of essential oils, and rich source of dietary fibre, minerals, and vitamins for monogastrics. The plant is endowed with beneficial phytochemicals such as alkaloids, tannins, phenols, flavonoids which may serve as natural alternatives to in-feed antibiotics. D. guineense has beneficial pharmacological effects including antioxidant and antimicrobial properties. The purpose of this study was to review the body of knowledge on the nutritional and chemical composition of D. guineense and its impact in animal production.

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Determination of the Elemental Composition of the Pulp, Seed and Fruit Coat of Black Velvet Tamarind (<em>Dialium guineense</em>) using Instrumental Neutron Activation Analysis

Cited by 3 publications

References 8 publications

Machine learning approach for classification of <i>Dalium guineense</i> fruits

Machine learning approach for classification of <i>Dalium guineense</i> fruits

Nutritional and medicinal properties of underexploited legume trees from West Africa

Nutritional and chemical composition of black velvet tamarind (Dialium guineense Willd) and its influence on animal production: A review

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