Sapuan, S. M. and Hamdan, N. Salwa and Mohammad Taha, Mastura and Zuhri, Mohd Yusoff Moh (2020) Application Of Shannon’s Entropy-Analytic Hierarchy Process (AHP) For The Selection Of The Most Suitable Starch As Matrix In Green Biocomposites For Takeout Food Packaging Design. Bioresources, 15 (2). pp. 4065-4088. ISSN 1930-2126
Text
16657-63523-1-PB.PDF Download (1MB) |
Abstract
Starch is a natural polymer and eligible for short-term, single-use food packaging applications. Nevertheless, different starches have different features and properties determined by their botanical plant origins. This paper presents an approach that combines Shannon’s entropy and the Analytic Hierarchy Process method to aid the selection process of starch as matrix in green biocomposites for takeout food packaging design. The proposed selection system ranks alternative starches in terms of the key design elements, i.e. strength, barrier property, weight, and cost. Shannon’s entropy established corresponding weight values for the indicators selected. Six starches: wheat, maize, potato, cassava, sago, and rice were appraised using gathered data from the literature to determine their suitability as a more sustainable option. This study found that sago starch obtained the highest priority score of 26.8%, followed by rice starch (20.2%). Sensitivity analysis was then carried out to further verify the results; sago starch was at the top rank for five of six different scenarios tested. The results showed that sago starch is the starch that can best satisfy the design requirements. Despite the results attained, the selection framework used could be enhanced with a more comprehensive attributes assessment and extensive dataset.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Material selection, Food packaging, Starch, Biopolymer, AHP, Analytic Hierarchy Process, Green Biocomposites, Food Packaging Design |
Divisions: | Faculty of Mechanical and Manufacturing Engineering Technology |
Depositing User: | Sabariah Ismail |
Date Deposited: | 16 Apr 2021 15:30 |
Last Modified: | 16 Apr 2021 15:30 |
URI: | http://eprints.utem.edu.my/id/eprint/25082 |
Statistic Details: | View Download Statistic |
Actions (login required)
View Item |