Modeling and performance optimization ofstarch-based biocomposite films using response surface methodology
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Date
2022
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Publisher
Journal of Applied Research and Technology
Abstract
The primary objective of this study is to optimize the significant parameters (filler type, filler
size, and content) for improving the performance of starch-based biocomposite films. The
mathematical and statistical tools such as response surface methodology (RSM) and analysis of
variance (ANOVA) were employed for modeling and optimization. To verify the different developed
models, validation tests were also performed. The results showed that the RSM based central
composite design (CCD) is an effective tool to predict the relationship between various input
parameters and desired responses. Most of the desirable properties [tensile strength, Young’s
modulus, impact strength, water vapor transmission rate (WVTR), and opacity] of starch-based films
were improved with the increase of filler content. The optimum values of input and response
parameters are: filler content: 8.11 wt.%, filler size: 27.07 μm, filler type: walnut shell, tensile strength:
32.43 MPa, Young’s modulus: 333.338 MPa, elongation at break: 9.90 %, impact strength: 34.12 J/mm,
WVTR: 1040.40 g m-2 24 h-1, rate of degradation (ROD): 31.6918 weight loss%/day, transparency 58.60
%transmittance/mm, and solubility 27.06%.
Description
Keywords
Starch film, response surface methodology, performance parameters, almond shell, walnut shell