Modelling of millet kernel water absorption and dimensions during hydration at different temperatures using a non-destructive image analysis technique

Thota Niranjan , Kadavakollu Subrahmanyam , Rama Chandra Pradhan , Brijesh K. Tiwari , Madhuresh Dwivedi
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Abstract

In the present study, image analysis was introduced to study the water absorbing expansion and water absorption kinetics of two minor millets (Barnyard and Foxtail millet) at temperatures of 30–75 °C. The water absorption and water absorbing expansion kinetics of millets during hydration were studied using six and four model equations respectively. The findings proved in the water absorption behaviour of millet kernels when the hydration temperature increased from 30 to 75 °C and the hydration time decreased with an increase in hydration temperature. It was evaluated that the six model equations can accurately describe the changes in water absorption behaviour in Barnyard and Foxtail millet after hydrating at 30, 45, 60, and 75 °C (R2> 0.98). The Page and two-term model provided the best fit and served as an effective tool for determining the water absorption characteristics of millets. Furthermore, we found an increase in the dimensional characteristics of millet kernels, when the hydration temperature increased from 30 to 60 °C and but beyond 60 °C the dimensional characteristics of millet kernels decreased. The four models used namely Peleg, Fick's, Weibull, and Kaptso models could adequately describe the dimensional changes of hydrated millet kernels at different hydrating temperatures and times. It was noted that the Weibull and Peleg model was best fit model for foxtail and barnyard millet respectively. To anticipate the water absorption expansion of barnyard and foxtail millet, the changes in model coefficients were presented in the well-suitable linear and polynomial equations.

Practical application

The application of image analysis to model changes in millet kernel water absorption and dimensions during hydration at different temperatures has a wide range of practical applications. In the food processing industry, this technology can be used to optimize the cooking process for millet, ensuring that it is cooked thoroughly while maintaining its desirable texture and taste. This technology can be used to study the properties of millet and other grains, providing valuable insights into the behaviour of these materials under different conditions. It can also be used to develop new products by understanding how the physical properties of millet change during hydration.

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利用无损图像分析技术建立不同温度下水合过程中小米仁吸水率和尺寸模型
本研究采用图像分析法来研究两种次要黍类(稗和狐尾黍)在 30-75 °C 温度下的吸水膨胀和吸水动力学。分别使用六个和四个模型方程研究了黍在水合过程中的吸水和吸水膨胀动力学。研究结果表明,当水合温度从 30 ℃ 升高到 75 ℃ 时,粟粒的吸水行为发生变化,水合时间随水合温度的升高而缩短。评估结果表明,六个模型方程能准确描述稗子和狐尾小米在 30、45、60 和 75 °C 水合后的吸水行为变化(R2> 0.98)。佩奇和双项模型的拟合效果最好,是确定黍吸水特性的有效工具。此外,我们还发现,当水合温度从 30 °C升高到 60 °C时,粟粒的尺寸特征会增加,但超过 60 °C后,粟粒的尺寸特征会减小。所使用的四种模型,即 Peleg、Fick's、Weibull 和 Kaptso 模型,可以充分描述水合小米仁在不同水合温度和时间下的尺寸变化。结果表明,Weibull 和 Peleg 模型分别是狐尾小米和稗子的最佳拟合模型。为了预测稗子和狐尾小米的吸水膨胀情况,模型系数的变化用合适的线性方程和多项式方程表示。 实际应用应用图像分析来模拟不同温度下水合过程中小米仁吸水率和尺寸的变化,具有广泛的实际应用价值。在食品加工业,这项技术可用于优化小米的烹饪过程,确保小米在保持理想质地和口感的同时彻底煮熟。这项技术可用于研究小米和其他谷物的特性,为了解这些材料在不同条件下的行为提供宝贵的见解。通过了解小米的物理性质在水合过程中的变化情况,还可用于开发新产品。
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