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Ben N. Chikamai

Researcher at Forest Research Institute

Publications -  5
Citations -  24

Ben N. Chikamai is an academic researcher from Forest Research Institute. The author has contributed to research in topics: Gum arabic & Shelf life. The author has an hindex of 3, co-authored 5 publications receiving 15 citations.

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Principal component analysis of physicochemical and sensory characteristics of beef rounds extended with gum arabic from Acacia senegal var. kerensis.

TL;DR: Principal component analysis (PCA) was efficient in analyzing the quality characteristics of beef rounds extended with gum arabic, and several significant correlations were found between beef round quality parameters.
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Sensory Evaluation of Syneresis Reduced Jam and Marmalade Containing Gum Arabic from Acacia senegal var. kerensis

TL;DR: In this paper, the impact of gum Arabic from Acacia senegal var. Kerensis on the general acceptability of jam and marmalade was evaluated using semi-trained panelists.
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Preparation and Quality Evaluation of Extended Beef Rounds Containing Gum Arabic from Acacia senegal var. kerensis

TL;DR: In this paper, the physicochemical properties of extended beef rounds containing gum arabic from Acacia senegal var. kerensis were investigated and the results indicated that the level of gum from ACSA var. krensis used in curing brines significantly increased the cook yield and reduced the extractable moisture in cooked extended beef round.
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Evaluation of gum arabic from Acacia senegal var kerensis and Acacia senegal var senegal as a stabilizer in low-fat yoghurt

TL;DR: In this article, the effect of the gum from A. senegal var kerensis on the quality characteristics of low-fat yoghurt compared to gum arabic from Acacia senegal and Acacia seyal was investigated.
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Microbial quality and shelf life prediction of vacuum-packaged ready to eat beef rounds containing gum arabic

TL;DR: In this article, the effect of gum arabic addition on the microbial quality and shelf life of the resulting meat product has not yet been reported, but the results of microbial analysis indicated that coliforms, yeasts and molds as well as pathogenic bacteria; Salmonella, Escherichia coli, and Staphylococcus aureus, were below detection limit.