Using Fuzzy Expert System to Simulating the Antibacterial Activity of Nanosilver Coated Cotton Fabrics

Nateri, Ali Shams; Oroumei, A.; Dadvar, Saeed; Fallah-Shojaie, A.; Khayati, Gholam; Emamgholipur, O.

doi:10.1166/jctn.2010.1518

Cited by 4 publications

(8 citation statements)

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“…Several treated textiles, which are cotton, wool, polyester, silk, cotton/polyester blend, regenerated cellulose, and polyamide treated with AgNPs, are presented. In general, summary of the treated textiles is listed in Table …”

Section: Historical and Current Developmentmentioning

confidence: 99%

Toward a comprehensive understanding of textiles functionalized with silver nanoparticles

Syafiuddin

2019

J Chinese Chemical Soc

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This article provides a comprehensive understanding of development of textiles functionalized with silver nanoparticles (AgNPs). There are three established methods to fabricate textiles functionalized with AgNPs, namely, solution‐immersion, layer‐by‐layer deposition, and sonochemical. In addition, several textile types such as cotton, wool, polyester, silk, cotton/polyester blend, polyamide, and regenerated cellulose have been used for the fabrication. The AgNP deposition mechanism on textiles is mainly due to electrostatic interaction between AgNPs and textile constituents. It was exhibited that the deposition of AgNPs on textiles can transform their textiles colors. In addition, it was demonstrated that the deposition of AgNPs on textiles is not permanent, particularly against washing treatment. Textiles modified with AgNPs have several promising applications such as antibacterial, antifungal, catalyst, electronic devices, water treatment, sun protection, air treatment, and surface‐enhanced Raman scattering, which are comprehensively discussed in this article. Future challenges in fabricating textiles functionalized with AgNPs remain on how this can be carried out to improve long‐term stabilization of AgNPs on textiles to achieve their permanent deposition by employing greener approaches.

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Section: Historical and Current Developmentmentioning

confidence: 99%

Toward a comprehensive understanding of textiles functionalized with silver nanoparticles

Syafiuddin

2019

J Chinese Chemical Soc

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“…In a fuzzy set, a member has a partial membership degree, which can be mapped to a function. Various membership functions are applied in the fuzzy process such as the Gaussian curve, Bell curve, Sinusoidal curve, Sigmoid curve that indicate the way each point in the input space is to an integer between 0 and 1 (Nateri et al, 2010;Shams-Nateri and Hasanlou, 2018;Veit, 2012). Figure 1 shows the graph of linear functions (triangular) and Gaussian functions (Veit, 2012).…”

Section: Introductionmentioning

confidence: 99%

Prediction of nanosilver and dye content on silk fabric using a scanner-based artificial intelligence technique

Nateri

Hasanlou

Hajipour

2021

PRT

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Purpose This paper aims to investigate using scanner-based adaptive neuro-fuzzy inference system (ANFIS), artificial neural networks (ANNs) and polynomial regression methods for prediction of silver nanoparticles (AgNPs) and dye concentrations on AgNP-treated silk fabrics. Design/methodology/approach For estimation of the dye and AgNPs concentration using image processing, the silk fabrics were scanned under the condition of 200 pixels per inch. The red green blue (RGB) values of scanned images were obtained after applying the median filter. Then, the relationship between scanner RGB values and dye and AgNPs concentrations were obtained by using artificial intelligence methods such as ANFIS and ANNs. Findings The best result was achieved by the ANFIS system for calculation concentration of dye with 0.07% error and concentration of AgNPs with 0.008 (gr/l) error. The obtained results indicate that the performance of the ANFIS system method is better than the other methods. Originality/value Using a scanner-based artificial intelligence technique for prediction of nanosilver and dye content on silk fabric.

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“…In recent years, a wide range of nanoparticles (NPs) have been applied for modification of textile fibers to provide them unique antimicrobial properties. The application of silver nanoparticles (AgNPs) have been extensively studied in this regard (Gulrajani et al , 2008; Chang et al , 2009; Zhang et al , 2009; Nateri et al , 2010; Zhang et al , 2012; Radetić, 2013). To modify the surface of textile fibers with AgNPs, different methods have been developed: these include sol–gel coating, depositing the AgNPs on to fibers and blending of AgNPs into a polymer matrix before spinning (Chang et al , 2009; Nateri et al , 2010).…”

Section: Introductionmentioning

confidence: 99%

“…The application of silver nanoparticles (AgNPs) have been extensively studied in this regard (Gulrajani et al , 2008; Chang et al , 2009; Zhang et al , 2009; Nateri et al , 2010; Zhang et al , 2012; Radetić, 2013). To modify the surface of textile fibers with AgNPs, different methods have been developed: these include sol–gel coating, depositing the AgNPs on to fibers and blending of AgNPs into a polymer matrix before spinning (Chang et al , 2009; Nateri et al , 2010). AgNPs with larger surface area provide higher antimicrobial activity than the normal silver which is widely applied to coat silk fibers for antimicrobial properties.…”

Section: Introductionmentioning

confidence: 99%

Using adaptive neuro-fuzzy and genetic algorithm for simultaneously estimating the dye and AgNP concentrations of treated silk fabrics with nanosilver

Nateri

Hasanlou

Hajipour

2019

PRT

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Purpose Artificial intelligence (AI) methods, such as genetic algorithm (GA) and adaptive neuro-fuzzy inference system (ANFIS), are capable of providing superior solutions for the simulation and the modeling of complex problems. The purpose of this study is to estimate the dye and the silver nanoparticle (AgNP) concentrations of silver nanoparticle-treated silk fabrics by the aforementioned methods. Design/methodology/approach In this study, the color and the antimicrobial properties of silver nanoparticle-treated silk fabrics were matched by using the GA technique based on spectrophotometric color matching. The ANFIS method was also used; this method is based on the grid partitioning algorithm across four different methods. The first and second methods are provided for dye concentration prediction, and the third and the fourth methods are given for AgNP concentration prediction. Findings The mean of absolute error and root mean square (RMS) of the best dye concentration prediction by the ANFIS method based on the second method are 0.087 and 0.103, respectively. In addition, the mean of the absolute error and the RMS of the best results for AgNP concentration prediction by the ANFIS method by using the third method is 0.002 and 0.003, respectively. The obtained results indicate that the performance of the ANFIS method is better than the GA method. Originality value The simultaneous prediction of the color and the antimicrobial properties of silver nanoparticle-treated silk fabrics was performed by using the GA and the ANFIS. The suggested method led to acceptable accuracy for color and antibacterial matching.

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Using Fuzzy Expert System to Simulating the Antibacterial Activity of Nanosilver Coated Cotton Fabrics

Cited by 4 publications

References 0 publications

Toward a comprehensive understanding of textiles functionalized with silver nanoparticles

Toward a comprehensive understanding of textiles functionalized with silver nanoparticles

Prediction of nanosilver and dye content on silk fabric using a scanner-based artificial intelligence technique

Using adaptive neuro-fuzzy and genetic algorithm for simultaneously estimating the dye and AgNP concentrations of treated silk fabrics with nanosilver

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