scholarly journals Multivariable analysis for selection of natural fibers as fillers for a sustainable food packaging industry

Author(s):  
Hafiz T Ali ◽  
Abdulaziz H Alghtani ◽  
Bassem F Felemban ◽  
Kh. Abd El-Aziz ◽  
Dalia Saber ◽  
...  
2020 ◽  
Vol 2020 (15) ◽  
pp. 197-1-197-7
Author(s):  
Alastair Reed ◽  
Vlado Kitanovski ◽  
Kristyn Falkenstern ◽  
Marius Pedersen

Spot colors are widely used in the food packaging industry. We wish to add a watermark signal within a spot color that is readable by a Point Of Sale (POS) barcode scanner which typically has red illumination. Some spot colors such as blue, black and green reflect very little red light and are difficult to modulate with a watermark at low visibility to a human observer. The visibility measurements that have been made with the Digimarc watermark enables the selection of a complementary color to the base color which can be detected by a POS barcode scanner but is imperceptible at normal viewing distance.


Petroleum-based synthetic polymers are mostly used for packaging materials for their advantageous features such as flexibility, lightness and transparency. However, the waste caused by the increasing usage has led to serious environmental impacts. There are many packaging products claimed as ‘green’ material in the market but, they are not fully from natural renewable resources. Most biocomposites materials comprised only either the matrix or fiber/filler from natural renewable resources, but still blended with another synthetic compound. Thus, green biocomposites which composed of fully biodegradable natural fibers and biopolymer matrix would be a great alternative. It can be naturally degraded and completely return to the environment safely after usage. The main shortcomings of biopolymer are their inadequate of mechanical and barrier properties in product application. Yet, the embedding reinforcing fibers or fillers would help in improving the final properties of the composites. The intention of this review is to present the latest development of green biocomposites research and its application for food packaging. It is also proposed to provide critical information that covers around properties of green biocomposites, types of available biopolymers and natural fibers, including their manufacturing techniques. Furthermore, the economic circumstances and forthcoming trend of these materials in food packaging industry would also be reviewed


Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 208
Author(s):  
Javier Brugés Martelo ◽  
Jan Lundgren ◽  
Mattias Andersson

The manufacturing of high-quality extruded low-density polyethylene (PE) paperboard intended for the food packaging industry relies on manual, intrusive, and destructive off-line inspection by the process operators to assess the overall quality and functionality of the product. Defects such as cracks, pinholes, and local thickness variations in the coating can occur at any location in the reel, affecting the sealable property of the product. To detect these defects locally, imaging systems must discriminate between the substrate and the coating. We propose an active full-Stokes imaging polarimetry for the classification of the PE-coated paperboard and its substrate (before applying the PE coating) from industrially manufactured samples. The optical system is based on vertically polarized illumination and a novel full-Stokes imaging polarimetry camera system. From the various parameters obtained by polarimetry measurements, we propose implementing feature selection based on the distance correlation statistical method and, subsequently, the implementation of a support vector machine algorithm that uses a nonlinear Gaussian kernel function. Our implementation achieves 99.74% classification accuracy. An imaging polarimetry system with high spatial resolution and pixel-wise metrological characteristics to provide polarization information, capable of material classification, can be used for in-process control of manufacturing coated paperboard.


Author(s):  
Susana Guzmán‐Puyol ◽  
Antonio Heredia ◽  
José A. Heredia‐Guerrero ◽  
José J. Benítez

2016 ◽  
Vol 88 (4) ◽  
pp. 467-479 ◽  
Author(s):  
Ka-yan Yim ◽  
Chi-wai Kan

Fabric hand is an indispensable characteristic for the selection of fabric and product development and the buying consideration for manufacturers and consumers. However, there is little comprehensive work on the hand feel property of warp-knitted fabrics due to the mainstream natural fibers (cotton, wool and silk) and other fabric structures (woven, weft-knitted and nonwoven). The increasing potential for the wide variety of applications and development of warp-knitted fabrics is not only because its fabric hand gives better determination for fabric marketing, but also because it provides extensive scope for fabric performance and appearance. This paper reports an experimental study on the integrated fabric hand behavior of a series of warp-knitted fabrics made for various apparel applications, such as sportswear, lingerie and leisure wear. These 105 fabrics were produced by varying different physical parameters, including fabric weight and fabric thickness. The Kawabata Evaluation System for Fabric (KES-F) was employed to obtain the fabric hand properties (primary hand value and total hand value) related with stiffness, smoothness and softness. All low-stress mechanical properties and fabric hand values from the testing results were used to verify the applicability of the KES-F on warp-knitted fabrics and to analyze the relationships of fabric parameters and hand characteristics. The results indicate that the KES-F is an appropriate tool to measure the hand attributes of warp-knitted samples, and moderate correlations between physical properties and mechanical behavior were found.


2021 ◽  
Author(s):  
Anna Ronzano ◽  
Roberta Stefanini ◽  
Giulia Borghesi ◽  
Giuseppe Vignali

"The recovery of agriculture waste is one of the challenges of 2030 Agenda. Food and Agriculture Organization states that 30 % of the world’s agricultural land is used to produce food that is later lost or wasted, and the global carbon footprint corresponds to 7% of total greenhouse gases emissions. Alternatively, natural fibers contained in food and agricultural waste could be a valuable feedstock to reinforce composite biopolymers contributing to increase mechanical properties. In addition, the use of biopolymers matrix could contribute significantly to reduce the environmental footprint of the biobased compounds. Based on these premises, a regional project in Emilia-Romagna, aims to enhance agricultural waste to produce food packaging materials which in turn would contribute to the reduction of green raw materials used. This article reviews the state of art of composite biopolymers added with fillers extracted by food and agricultural waste, analyzing the literature published on scientific databases such as Scopus. The characteristics, advantages and drawbacks of each innovative sustainable material will be studied, trying to compare their various properties. The results of the work could guide companies in the choice of eco-sustainable packaging and lay the foundations for the development of the mentioned regional project."


2021 ◽  
Author(s):  
Shreyas Patankar ◽  
Ekaterina Vassilenko ◽  
Mathew Watkins ◽  
Anna Posacka ◽  
Peter Ross

<p>Microplastic pollution in oceans is among the global environmental concerns of our time. Emerging research on ocean environments indicates that microfibers, such as those originating from textiles, are some of the most commonly occurring type of microplastic contaminants. While Fourier-transform infrared spectroscopy (FTIR) is commonly used to identify and characterize pollutant samples obtained from the environment, this identification is challenging because infrared spectra of materials can be modified by exposure to the ocean, air, UV light, and other ambient conditions, in a process referred to as “weathering”. We report preliminary efforts in improving FTIR characterization of microplastics by building a library of infrared spectra of common textile fibers weathered under a selection of ambient conditions. Consumer textile materials including polyester, nylon, cotton, and other, were exposed to a selection of ambient conditions: ocean, air, and wastewater treatment stages, in a controlled weathering experiment. Infrared spectra were monitored for up to 52 weeks, with the resulting data illuminating on the environmental fate and longevity of synthetic and natural fibers. Spectral changes caused by weathering were found to depend strongly on both the composition of the material and the specific ambient conditions. This library of weathered material spectra is useful not only in easier identification of environmental microfibers, but also in helping us estimate the duration and manner of weathering that a given environmental microfiber may have experienced.</p>


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