Browsing by Author "Adade, S.Y-S.S."
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Item Phytochemical and Structural Changes of Chickpea Beverage Prepared Using Ultrasound-Assisted Fermentation with Optimized Ultrasound Parameters Modelled by Response Surface Methodology(Beverages, 2023) Johnson, N.A.N.; Ekumah, J-N.; Adade, S.Y-S.S.To improve the quality of fermented chickpea beverages, a highly nutritious substitute for dairy, the Box-Behnken design and the response surface methodology were used to obtain optimized ultrasonic parameters for producing ultrasound-assisted fermented chickpea beverages. The determining parameters were the lactic acid, reducing sugar content, and the cell viability of the treated product. The most significant parameters obtained were frequency and treatment duration, while power density was relatively insignificant. The optimum fermentation parameters obtained were a treatment start time of 3 h, treatment duration of 80 min, frequency of 27.5 kHz, and power density of 100 W/L with optimum yields of 0.23096 mg/mL, 2.92898 mg/mL, and 0.488189 for reducing sugar, lactic acid, and cell viability index, respectively, with desirability above 0.95. Further analysis of the ultrasound treatment’s effect on the product’s structure showed the ultrasound assisted fermented chickpea beverage was more structurally stable and homogenous, with even distribution of macromolecules present.Item Quantitative assessment of phytochemicals in chickpea beverages using NIR spectroscopy(Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2024) Johnson, N.A.N.; Adade, S.Y-S.S.; Haruna, S.A.; Ekumah, J-N.; Ma, Y.The prospects of near-infrared (NIR) spectroscopy combined with effective variable selection algorithms for quantifying phytochemical compounds in chickpea beverages were investigated in this study. As reference measurement analysis, the phytochemicals were extracted and identified via high-performance liquid chroma tography. Multivariate algorithms were then applied, analyzed, and evaluated using correlation coefficients of validation set (Rp), root mean square error of prediction (RMSEP), and residual predictive deviations (RPDs). Accordingly, the competitive adaptive reweighted sampling-partial least squares (CARS-PLS) model achieved superior performance for biochanin A (Rp = 0.933, RPD = 3.63), chlorogenic acid (Rp = 0.928, RPD = 3.52), p coumaric acid (Rp = 0.900, RPD = 2.37), and stigmasterol (Rp = 0.932, RPD = 3.15), respectively. Hence, this study demonstrated that NIR spectroscopy paired with CARS-PLS could be used for nondestructive quantitative prediction of phytochemicals in chickpea beverages during manufacture and storage.