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Prediction of Some Physical Attributes of Cassava Starch-Zinc Nanocomposite Film for Food-Packaging Applications

机译:预测木薯的一些物理属性对食品包装Starch-Zinc纳米复合材料薄膜应用程序

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摘要

Characterization of nanocomposite film requires a high level of instrumentation and accuracy in measurements. It is normally arduous to achieve correct measurement of a system under different conditions using the same instrument without allowing for errors. For this reason, model representation of a system is usually encouraged. In this research, empirical model equations were developed for predicting some physical attributes of cassava starch-zinc nanocomposite film for food-packaging applications. Samples of the films, with thickness ranging between 15 and 17 μm, were developed by blending 24 g of cassava starch, 0-2% zinc nanoparticles, and 45-55% glycerol. The permeability of the films, which helps in maintaining the quality of packaged food, was determined due to oxygen and water vapour at a temperature of 27℃ and 65% RH. Elastic modulus and hardness were determined using nano-indentation techniques. Empirical model equations were developed using Box-Behnken design from 60% of the total data and the remainder were predicted. Results showed that the models developed are fit, and there were no significant differences between the 40% remaining data and model predicted data (< 0.05). The contributions of the model terms to the validity of the equations were generally high with mean square error (MSE) < 10%. The result indicates that the models can be suitable for predicting permeability, hardness, and elastic modulus of cassava starch-zinc nanocomposite film.
机译:表征纳米复合材料薄膜的要求高水平的仪器和准确性测量。正确的测量系统在不同条件没有使用相同的工具允许错误。表示一个系统通常是鼓励。在这个研究中,实证模型方程为预测开发的一些物理属性木薯starch-zinc纳米复合材料薄膜食品包装应用。电影,厚度介于15 - 17所示μm,是由混合24 g的木薯锌纳米颗粒淀粉、0 - 2%,45 - 55%甘油。有助于保持包装的质量食物,决心将氧气和水蒸汽的温度27℃和65% RH。弹性模量和硬度测定使用nano-indentation技术。使用Box-Behnken开发的模型方程设计数据和总数的60%剩余部分进行了预测。模型开发的适合,没有剩余40%之间的显著差异数据和模型预测数据(< 0.05)。模型的贡献方面的有效性的方程一般高的意思平方误差(MSE) < 10%。模型可以适用于预测磁导率、硬度和弹性模量木薯starch-zinc纳米复合材料薄膜。

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