Macro and Micro Characterization of Biopolymers: Case of Cotton Fibre

Harzallah, Omar; Dréan, Jean-Yves

doi:10.5772/16831

Cited by 4 publications

(4 citation statements)

References 36 publications

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“…There is a new generation of bio-textile materials based on petroleum, animal sources or agricultural [2] with a reasonable solution [3]. Micro-organisms (such as fungi and bacteria) broke down the biopolymers in the environment; such as a cotton fiber [4].…”

Section: Introductionmentioning

confidence: 99%

Characterization, Modeling and the Production Processes of Biopolymers in the Textiles Industry

Younes¹

2022

Biocomposites

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The current chapter is focused on biopolymers and Bionanocomposite as environmentally friendly materials, modeling of the production processes, and coating of bio-textiles. Different industries use biopolymers and Bionanocomposite in for the current environmental applications. Furthermore, composition and classification of biopolymers, the theoretical methods, and factorial experimental designs (FED) for optimization and modeling processes of the environmentally friendly textiles used as an alternative to traditional chemical textile products with zero to low environmental footprint are studied at acceptable cost. This chapter will also describe the novel optimization, experimental factorial design, and how the novel modeling methods will help less experienced polymer designers in taking the best experimental decision controlled by the design factors. It also discusses how the fully biodegradable polymers support the industry by decreasing the processing energy, material and manufacturing costs. Finally there are an overview of the current and future developments of biodegradable polymers applications in modern bio-textiles industries.

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Section: Introductionmentioning

confidence: 99%

Characterization, Modeling and the Production Processes of Biopolymers in the Textiles Industry

Younes¹

2022

Biocomposites

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“…Epidemiological and experimental studies demonstrate the importance of compounds derived from plants in reducing the risk of diabetes mellitus (5) and inhibit the development and the multiplicity of diabetes mellitus in experimental animals (6). Nigella sativa L. is an annual herbaceous plant belonging to the Ranunculaceae family, commonly have been used traditionally in Middle Eastern folk medicine as a natural remedy for various diseases for over 2000 years (7).…”

Section: Introductionmentioning

confidence: 99%

Antihyperglycemic Effects of Thymoquinone in Diabetic Rats

Al-Sa¹,

Kareem²,

aidi³

et al. 2014

Bas.J.Vet.Res.

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To investigate the antihyperglycemic potent of thymoquinone (TQ), this study has been conducted in streptozotocin-induced diabetic male rats.Diabetes was induced by single injection with streptozotocin (60 mg/kg b.w., i.p.). Rat ≥ 200 mg/dl of blood glucose was used as diabetic.Sixty five adult male rats (aged 56 days and weighted 138±8.8g) were divided into five groups, non-diabetic control (were drenched with drinking water) and four diabetic groups(DM, TQ50,TQ100, and DMI) were drenched with drinking water,TQ (50 mg/kg, bw), TQ (100 mg/kg, bw), and injected with insulin (4 IU/animal), respectively, for 42 days. During the experiment,body weight gains were recorded and blood samples were obtained weekly for assessment of plasma glucose and insulin concentrations. TQ treated male rats showed normal activity and body health throughout the experiment. Significant decrease of body weight gain has been recorded in untreated diabetic (DM) and insulin treated diabetic (DMI) groups as compared with that of intact control (C) and TQ treated diabetic (TQ50 and TQ100) groups, started from the fourth day of experiment, while DM group registered the lowest body weight gain among the experimental groups. Results of blood glucose concentrations referred to significant elevation in diabetic groups as compared with intact control. While in comparison between the diabetic groups, blood glucose concentration decreased significantly TQ50, TQ100, and DMI groups compared with DMI group. It has been found that insulin treated (DMI) and TQ treated (TQ50 and TQ100) male rats recorded no significant difference in serum insulin concentration when compared with each other but they were significantly lower than that of intact control male rats (C), but the average means of these four groups were significantly higher than that of non-treated diabetic male rats (DM).These changes were time dependent during the studied experimental period. It can be concluded that drenching of 100 mg/kg of TQ has potent hypoglycemic effect in experimentally-induced diabetic male rats.

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“…In a fatigue test [21], a fiber may be cycled over a wide range of frequencies under a variety of imposed extension rate conditions. The fiber is held between two clamps one of which connected to a vibration generator.…”

Section: Mechanical Propertiesmentioning

confidence: 99%

“…The mechanical elements can be assembled both in series or in parallel or in mixed groups (networks). Thus, more complex mechanical responses can be simulated to illustrate the behavior of the material submitted to the tensile, creep, relaxation, and fatigue tests [21,28].…”

Section: Analogical Modelingmentioning

confidence: 99%

Impact of the Bijective Relationship between Single and Bundle Cotton Fiber’s in Cotton Breeding Programs

Mahjoub¹,

Gourlot²,

Dréan³

et al. 2018

Past, Present and Future Trends in Cotton Breeding

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In this chapter, we focus on the relationship between fibers' mechanical properties and yarns' ones by studying their relative behavior and the relationship between single and bundle cotton fibers (respectively, dispositions 1 and 2). For this purpose, three different types of cotton fibers were studied. These cottons were chosen from a list of 12 cottons covering a large panel of varieties and physical properties (maturity, fineness, micronaire, length, tenacity, etc.). Classifications per length classes and linear densities were done in order to have more precision and knowledge of cotton fiber behavior. Modeling the creep behavior of single and bundle fibers will help exploring data for the bijective relationship between the two dispositions. Properties evaluated will include elongation, single fibers and bundle tenacities, work of rupture, and so on. Quality of bundle fibers will be a good tool in predicting spinning performances and thus yarn quality.

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Macro and Micro Characterization of Biopolymers: Case of Cotton Fibre

Cited by 4 publications

References 36 publications

Characterization, Modeling and the Production Processes of Biopolymers in the Textiles Industry

Characterization, Modeling and the Production Processes of Biopolymers in the Textiles Industry

Antihyperglycemic Effects of Thymoquinone in Diabetic Rats

Impact of the Bijective Relationship between Single and Bundle Cotton Fiber’s in Cotton Breeding Programs

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