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

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Date
2018
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Journal of Packaging Technology and Research, Springer Nature
Abstract
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 °C 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.
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