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Multivariable analysis for selection of natural fibers as fillers for a sustainable food packaging industry
Materials Research Express ( IF 1.8 ) Pub Date : 2021-09-03 , DOI: 10.1088/2053-1591/ac17a9
Hafiz T Ali 1 , Abdulaziz H Alghtani 1 , Bassem F Felemban 1 , Kh Abd El-Aziz 1 , D Saber 2 , Emad M Ahmed 3 , M Megahed 4 , Mohamad Fotouhi 5
Affiliation  

There is a rising demand for advanced new materials in food packaging to meet the growing economic and sustainability requirements. Natural fibers have excellent mechanical and thermal isolation properties and lower production costs than synthetic fibers, making them suitable candidates for the development of sustainable food packaging. Other characteristics of natural fibers, i.e., low cost, easy availability, and low impact on the environment, making these materials a promising option for food packaging. The primary focus of this study is to utilize multivariable analysis, an analytic hierarchy process and a multi-criteria decision analysis to select appropriate natural fiber reinforcement for food packaging from commonly used plant fibers (coir, date palm, hemp, sisal, jute, flax, corn stalk, banana, bamboo, cotton). The multivariable selection system is used to compare crucial food packaging materials’ requirements and production parameters gathered different properties including density, Young modulus, elongation to break, moisture content, thermal conductivity, cost, availability, etc, to help identify appropriate natural fibers. From the results, selecting the most appropriate natural fiber depends on the design requirements, cost, and availability; all these parameters are also affected by the geological conditions and customer needs. Single parameter comparison is used to compare the investigated natural fiber; then analytic hierarchy process is used to rank the highest priority parameters for the natural fiber selection process. The results showed that density (22%), cost (13.6%), moisture content (11.7%), thermal conductivity (10.7%), elongation at break (7.7%), and Young modulus (7.4%) are rated in the order of priority. Hemp, banana and sisal fibers are ranked as the best choices for the food packaging by the multi-criteria decision analysis, i.e. TOPSIS. Examples are presented considering the multivariable analysis using radar charts to identify the best natural fibers source for countries such as Kingdom of Saudi Arabia, Pakistan, Bangladesh, and India. Date palm is a preferred natural fiber source for food packaging reinforcement in Saudi Arabia and Pakistan, whereas bamboo and jute are better choices for India and Bangladesh.



中文翻译:

选择天然纤维作为可持续食品包装行业填料的多变量分析

为了满足日益增长的经济和可持续性要求,食品包装对先进新材料的需求不断增长。天然纤维具有优异的机械和隔热性能,并且比合成纤维的生产成本更低,使其成为开发可持续食品包装的合适候选者。天然纤维的其他特性,即低成本、容易获得和对环境的影响小,使这些材料成为食品包装的有前途的选择。本研究的主要重点是利用多变量分析、层次分析法和多标准决策分析,从常用的植物纤维(椰壳纤维、枣椰树、大麻、剑麻、黄麻、亚麻)中选择合适的天然纤维增强材料用于食品包装、玉米杆、香蕉、竹子、棉花)。多变量选择系统用于比较关键食品包装材料的要求和生产参数,收集不同的特性,包括密度、杨氏模量、断裂伸长率、水分含量、导热性、成本、可用性等,以帮助确定合适的天然纤维。从结果来看,选择最合适的天然纤维取决于设计要求、成本和可用性;所有这些参数也受地质条件和客户需求的影响。单参数比较用于比较所研究的天然纤维;然后使用层次分析法对天然纤维选择过程的最高优先级参数进行排序。结果表明,密度(22%)、成本(13.6%)、含水量(11.7%)、导热系数(10.7%)、断裂伸长率 (7.7%) 和杨氏模量 (7.4%) 按优先顺序排列。大麻、香蕉和剑麻纤维被多标准决策分析(即 TOPSIS)列为食品包装的最佳选择。举例考虑了使用雷达图的多变量分析来确定沙特阿拉伯王国、巴基斯坦、孟加拉国和印度等国家的最佳天然纤维来源。枣椰树是沙特阿拉伯和巴基斯坦食品包装加固的首选天然纤维来源,而竹子和黄麻是印度和孟加拉国的更好选择。举例考虑了使用雷达图的多变量分析来确定沙特阿拉伯王国、巴基斯坦、孟加拉国和印度等国家的最佳天然纤维来源。枣椰树是沙特阿拉伯和巴基斯坦食品包装加固的首选天然纤维来源,而竹子和黄麻是印度和孟加拉国的更好选择。举例考虑了使用雷达图的多变量分析来确定沙特阿拉伯王国、巴基斯坦、孟加拉国和印度等国家的最佳天然纤维来源。枣椰树是沙特阿拉伯和巴基斯坦食品包装加固的首选天然纤维来源,而竹子和黄麻是印度和孟加拉国的更好选择。

更新日期:2021-09-03
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