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Application of the response surface methodology (RSM) in the optimization of the fluidizing and sweetening capacities of sprouted flours of two maize varieties (Atp-Y and Coca-sr)

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posted on 2023-11-16, 15:40 authored by Stephano Tambo Tene, Hermann Arantes Kohole Foffe, Oluwafemi Ayodeji Adebo, Derek Tantoh Ndinteh, Alex Blairio Tsopbeng Tsopzong, Justine Odelonne Kenfack, Michael Hermann Kengne Kamdem, Julie Mathilde Klang, Hilaire Macaire Womeni

The present work aims to evaluate the influence of varieties and malting conditions on the liquefying and sweetening capacities of germinated flours of two new maize varieties (Atp-Y and Coca-sr). Five (5) factors such as soaking time (18–42 h), vegetable salt concentration (0.5–1.2%), soaking temperature (25–41°C), germination time (80–195 h) and maturation time (17.5–42 h) were used to potentiate the liquefying and sweetening capacities of the two flours. The dehulled flours of the two maize varieties were also used as a substrate for the evaluation of these responses. The optimal flours were then subjected to physicochemical analysis. From these analyses, it follows that the responses were affected (p < 0.05) by the malting conditions, the variety of germinated flours and the variety of substrate flours. Overall, the sprouted flours respectively from the Coca-sr variety showed the highest liquefying (190 and 282.50 mm/30 s on the gruels from the Atp-Y and Coca-sr dehulled flours) and sweetening (7193.10 and 8735.63 mg/100 mL on the gruels from the Atp-Y and Coca-sr dehulled flours) potential of the two dehulled flours. A positive correlation was observed between the sweetening and liquefying potential of the germinated flours. The combination of these different flours (malted and dehulled flours) allowed to potentiate the responses up to 3.5 times compared to the previous data. The optimal conditions obtained in this study could be applied to reduce the energy and nutrient deficiency and improve the fluidity of infant formula.

Funding

This study was partially financed by the African German Network for Excellence in Science (AGNES) for mobility grant 2020; the grant was generously sponsored by the German Federal Ministry of Education and Research and supported by the Alexander von Humboldt Foundation. It was also partially supported by French University Agency through the programme “Mathématiques-Informatique, Biosciences et Géosciences de l’Environnement” grant number G950/199/DRACGL 2020/ASW/PFD.

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