Application of Fe<sub>3</sub>O<sub>4</sub> nanoparticles on cotton fabrics by the Pad-Dry-Cure process for the elaboration of magnetic and conductive textiles

Nadi, Ayoub; Sbai, Sara Jamoudi; Bentiss, Aziz; Belaı̈che, M.; Briche, Samir; Gmouh, Saïd

doi:10.1088/1757-899x/827/1/012021

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…Strong adhesion is required between NMs and substrates to maintain and conserve the antimicrobial properties of nano-textiles. The durability of the nano-textile depends on the type of durability test (mechanical stress induced by industrial or domestic washing machines) [98,108]. The durability test employed (0.174) was another important variable found in our study.…”

Section: Discussionmentioning

confidence: 61%

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A Supervised Machine-Learning Prediction of Textile’s Antimicrobial Capacity Coated with Nanomaterials

et al. 2021

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Textile materials, due to their large surface area and moisture retention capacity, allow the growth of microorganisms, causing undesired effects on the textile and on the end-users. The textile industry employs nanomaterials (NMs)/composites and nanofibers to enhance textile features such as water/dirt-repellent, conductivity, antistatic properties, and enhanced antimicrobial properties. As a result, textiles with antimicrobial properties are an area of interest to both manufacturers and researchers. In this study, we present novel regression models that predict the antimicrobial activity of nano-textiles after several washes. Data were compiled following a literature review, and variables related to the final product, such as the experimental conditions of nano-coating (finishing technologies) and the type of fabric, the physicochemical (p-chem) properties of NMs, and exposure variables, were extracted manually. The random forest model successfully predicted the antimicrobial activity with encouraging results of up to 70% coefficient of determination. Attribute importance analysis revealed that the type of NM, shape, and method of application are the primary features affecting the antimicrobial capacity prediction. This tool helps scientists to predict the antimicrobial activity of nano-textiles based on p-chem properties and experimental conditions. In addition, the tool can be a helpful part of a wider framework, such as the prediction of products functionality embedded into a safe by design paradigm, where products’ toxicity is minimized, and functionality is maximized.

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Section: Discussionmentioning

confidence: 61%

“…According to the literature, numerous factors influence the antimicrobial efficacy and durability of nanotextiles. The most important ones are the application (deposition) method, the p-chem properties of the NM (shape, surface area, and zeta potential), type of NM, type of substrate, and the type of durability test used [97,98].…”

Section: Discussionmentioning

confidence: 99%

A Supervised Machine-Learning Prediction of Textile’s Antimicrobial Capacity Coated with Nanomaterials

et al. 2021

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“…Responsive fibrous structures can sense and respond to a diverse array of external stimuli, including temperature [22], light [23], pH [24], humidity [25], electricity [26], magnetism [27], biological agents [28], chemical product [29] or pressure [29]. This adaptability is crucial as each stimulus provides a unique avenue for customizing structure properties and responses to specific needs.…”

Section: Responsive Fibrous Structuresmentioning

confidence: 99%

Fibrous Structures: An Overview of Their Responsiveness to External Stimuli towards Intended Application

Ferreira,

Gonçalves,

Antunes

et al. 2024

Polymers

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In recent decades, the interest in responsive fibrous structures has surged, propelling them into diverse applications: from wearable textiles that adapt to their surroundings, to filtration membranes dynamically altering selectivity, these structures showcase remarkable versatility. Various stimuli, including temperature, light, pH, electricity, and chemical compounds, can serve as triggers to unleash physical or chemical changes in response. Processing methodologies such as weaving or knitting using responsive yarns, electrospinning, as well as coating procedures, enable the integration of responsive materials into fibrous structures. They can respond to these stimuli, and comprise shape memory materials, temperature-responsive polymers, chromic materials, phase change materials, photothermal materials, among others. The resulting effects can manifest in a variety of ways, from pore adjustments and altered permeability to shape changing, color changing, and thermal regulation. This review aims to explore the realm of fibrous structures, delving into their responsiveness to external stimuli, with a focus on temperature, light, and pH.

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“…Chemically prepared Fe 3 O 4 /OA magnetic nanoparticle has superhydrophobicity, superparamagnetism, thermal stability and superlipophilicity [22]. Iron oxide nanoparticles have also developed using reverse co-precipitation method because of its simple nature and high yield value [23] Rapid inducing heating method involved in production of iron nanoparticles. The synthesized iron oxide nanoparticle size ranges from 3 to 11 nm in diameter [24].…”

Section: Introductionmentioning

confidence: 99%

One-Pot Facile Green Synthesis of Iron Oxide Nanoparticles Using Aqueous Stem Extract of Amaranthus Campestris and Comparison of its Characteristics with Chemically Synthesized Iron Oxide Nanoparticles

Hazel

Nallathambi

2022

Preprint

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Nanomaterial is defined as a material with the size range of 1 nm to 100 nm. Nanomaterials have landed in many sectors due to its enormous characteristics features. Nanoparticles are synthesized by chemical, physical and biological method in general. The chemical synthesis process comprises limitations like high production cost, usage of toxic chemicals, toxic by-product emission etc., Green synthesized iron oxide nanoparticle (IONPs) are preferred due to higher biocompatibility, non toxicity, cost effective, high yield, less energy consumption, environment friendly by products, less usage of chemicals and eco friendly nature. Green synthesis uses plant extracts (roots, leaves, stem, flowers and fruits) and microorganism (bacteria, fungus and algae) for the iron oxide nanoparticle (IONPs) development. Synthesis of plant mediated nanoparticles has obtained more notice in recent times. In this research, synthesis of iron oxide nanoparticles with desired properties has done by green synthesis method using Amaranthus Campestris plant stem extract and chemical method. This article summarizes the synthesis process and characterizations of obtained iron oxide nanoparticle (IONPs) through chemical and biological route. The comparisons between chemically and green synthesized magnetic iron oxide nanoparticle have done using various characterization methods such as FTIR, FE-SEM, XRD,VSM, UV visible Spectroscopy and antimicrobial activity.

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Application of Fe₃O₄ nanoparticles on cotton fabrics by the Pad-Dry-Cure process for the elaboration of magnetic and conductive textiles

Cited by 13 publications

References 14 publications

A Supervised Machine-Learning Prediction of Textile’s Antimicrobial Capacity Coated with Nanomaterials

A Supervised Machine-Learning Prediction of Textile’s Antimicrobial Capacity Coated with Nanomaterials

Fibrous Structures: An Overview of Their Responsiveness to External Stimuli towards Intended Application

One-Pot Facile Green Synthesis of Iron Oxide Nanoparticles Using Aqueous Stem Extract of Amaranthus Campestris and Comparison of its Characteristics with Chemically Synthesized Iron Oxide Nanoparticles

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Application of Fe3O4 nanoparticles on cotton fabrics by the Pad-Dry-Cure process for the elaboration of magnetic and conductive textiles

Cited by 13 publications

References 14 publications

A Supervised Machine-Learning Prediction of Textile’s Antimicrobial Capacity Coated with Nanomaterials

A Supervised Machine-Learning Prediction of Textile’s Antimicrobial Capacity Coated with Nanomaterials

Fibrous Structures: An Overview of Their Responsiveness to External Stimuli towards Intended Application

One-Pot Facile Green Synthesis of Iron Oxide Nanoparticles Using Aqueous Stem Extract of Amaranthus Campestris and Comparison of its Characteristics with Chemically Synthesized Iron Oxide Nanoparticles

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Application of Fe₃O₄ nanoparticles on cotton fabrics by the Pad-Dry-Cure process for the elaboration of magnetic and conductive textiles