Titanium Implant Surface Modification in Physiological Serum Containing New Mixed Inhibitor Based on Poly(vinyl) Alcohol/Silver Nanoparticles/Epirubicin

Samide, Adriana

doi:10.20964/2018.12.61

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…Linear potentiometry (LP) and cyclic voltammetry (CV), with ten cycles, were conducted on copper specimens, in 0.1 mol•L −1 HCl solution, without and with PVA and nAg/PVA, with the latter being prepared as described in a previous study [26]. Electrochemical measurements were performed in the potential range from −1.0 to 1.0 V (anodic direction), with a scan rate of 1.0 mV•s −1 (LP) and 100 mV•s −1 (CV), respectively.…”

Section: Modeling Of Coatingsmentioning

confidence: 99%

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Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional Neural Networks

Samide

Stoean

et al. 2019

Coatings

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In order to assemble effective protective coatings against corrosion, electrochemical techniques such as linear potentiometry and cyclic voltammetry were performed on a copper surface in 0.1 mol·L−1 HCl solution containing 0.1% polyvinyl alcohol (PVA) in the absence and presence of silver nanoparticles (nAg/PVA). A recent paradigm was used to distinguish the features of the coatings, that is, a deep convolutional neural network (CNN) was implemented to automatically and hierarchically extract the discriminative characteristics from the information given by optical microscopy images. In our study, the material surface morphology, controlled by the CNN without the interference of the human factor, was successfully conducted to extract the similarities/differences between unprotected and protected surfaces in order to establish the PVA and nAg/PVA performance to retard copper corrosion. The CNN results were confirmed by the classical investigation of copper behavior in hydrochloric acid solution in the absence and presence of polyvinyl alcohol and silver nanoparticles. The electrochemical measurements showed that the corrosion current density (icorr) decreased and polarization resistance (Rp) increased, with both PVA and nAg/PVA being effective inhibitors for copper corrosion in an acid environment, forming polymer protective coatings by adsorption on the metal surface. Furthermore, scanning electron microscopy (SEM) certifies the formation of polymer coatings, revealing a specific morphology of the copper surface in the presence of PVA and nAg/PVA, very different from that of corroded copper in uninhibited solutions. Finally, the correlation of the CNN information with experimental data was reported.

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Section: Modeling Of Coatingsmentioning

confidence: 99%

“…Copper and platinum plates with the area of 1.0 cm −2 constituted the working and auxiliary electrodes, using the Ag/AgCl electrode as reference. The materials, methodology, and devices have been described in other studies [11,26].…”

Section: Modeling Of Coatingsmentioning

confidence: 99%

Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional Neural Networks

Samide

Stoean

et al. 2019

Coatings

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“…The linear potentiometry (LP) and cyclic voltammetry (CV), applying ten cycles, were carried out, with the potential scan rate of 1.0 mV s -1 and 100 mV s -1 , respectively, in the potential range of -1.0 V and 1.0 V, for copper specimens immersed in 0.1 mol L -1 HCl solution without and with PVA and PVA/nAg, stated as follows: (1) electrodeposited coating on standard copper surface through LP in: (1a) 0.1 mol L -1 HCl; (1b) 0.1 mol L -1 HCl solution containing PVA; (1c) 0.1 mol L -1 HCl solution containing nAg/PVA prepared as in the previous study was described [26]; (2) electrodeposited coating on standard copper surface through CV under the same conditions mentioned above. The materials, methodology and devices were described in another study [11,26].…”

Section: Modeling Of Coatingsmentioning

confidence: 99%

Deep Convolutional Neural Network Applied on Copper Surface Coatings Based on Polyvinyl Alcohol and Silver Nanoparticles<strong> </strong>

Samide¹,

Stoean²,

Stoean³

et al. 2018

Preprint

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In order to design effective protective coatings against corrosion, the polyvinyl alcohol (PVA) as compound and composite with silver nanoparticles (nAg/PVA) were electrodeposited on copper surface employing electrochemical techniques such as linear potentiometry and cyclic voltammetry. A new paradigm was used to distinguish the features of coatings, i.e., a Deep Convolutional Neural Network (CNN) was implemented to automatically and hierarchically extract the discriminative characteristics from the information given by optical microscopy images. The main arguments that invoke a CNN implementation in the surface science of materials are the following: artificial intelligence techniques can be successfully applied to learn differences between surface coatings; based on their popularity for image processing, CNN can model images related to the problem of coatings; deep learning is able to extract the features that are distinguishable between material surfaces. To provide an overview of the copper surface, CNN was applied on microscope slides (CNN@microscopy) and inherently learnt distinctive characteristics for each class of surface morphology. The material surface morphology controlled by CNN without the interference of the human factor was successfully conducted, in our study, to extract the similarities/differences between unprotected and protected surfaces to establish the PVA and nAg/PVA performance to retard the copper corrosion.

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Silver nanoparticles/polyvinyl alcohol film: studies of thermal characterization, AFM and corrosion protection by electrodeposition on 304L stainless steel

Samide

Iacobescu

Tutunaru

et al. 2021

J Therm Anal Calorim

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Titanium Implant Surface Modification in Physiological Serum Containing New Mixed Inhibitor Based on Poly(vinyl) Alcohol/Silver Nanoparticles/Epirubicin

Cited by 5 publications

References 45 publications

Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional Neural Networks

Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional Neural Networks

Deep Convolutional Neural Network Applied on Copper Surface Coatings Based on Polyvinyl Alcohol and Silver Nanoparticles<strong> </strong>

Silver nanoparticles/polyvinyl alcohol film: studies of thermal characterization, AFM and corrosion protection by electrodeposition on 304L stainless steel

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