Biodegradable properties of AZ31-0.5Ca magnesium alloy

Chaudry, Umer Masood; Farooq, Ameeq; Malik, Abdul; Nabeel, Muhammad; Sufyan, Muhammad; Tayyeb, Asima; Asif, Sumbal; Inam, Aqil; Elbalaawy, Ahmed; Hafez, Eslam; Jun, Tea‐Sung; Hamad, Kotiba

doi:10.1080/10667857.2021.2022571

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…After 72 h, MTT, at a concentration of 10 µL, was added per well and was left to rest to allow crystallization for 4 h and further; upon removal of MTT, these crystals were left to dissolve in 100 µL (CH 3 ) 2 SO per well for almost 15 min and were transferred to the ELISA reader plate (BioTek microplate reader, Winooski, VT, USA) for measurement of absorbance of each well at 490 nm wavelength. The percentage of cell viability was determined using the following Equation (1), where OD represents the optical densities [ 47 ].

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Section: Methodsmentioning

confidence: 99%

Role of Solvent Used in Development of Graphene Oxide Coating on AZ31B Magnesium Alloy: Corrosion Behavior and Biocompatibility Analysis

et al. 2022

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Clinical applications of bio-absorbable magnesium (Mg) and its alloys can be enhanced by increasing their corrosion resistance, using surface modification and functionality. In this study, we synthesized graphene oxide (GO) through improved Hummers’ method and deposited it on biodegradable AZ31B Mg alloy for further characterization. Different suspensions of GO were prepared in various solvents, like deionized water, ethanol, and acetone by ultra-sonication. Electrophoretic deposition (EPD) was used to develop GO coatings on AZ31B Mg using different GO suspensions. Effect of various solvents on corrosion behavior, as well as in vitro biocompatibility, was studied. The optimized EPD parameters were 3 volts and 90 s for coating. Different characterization techniques were used to study GO and prepared coatings. Atomic force microscopy found that the average thickness of GO was ~1 nm. Electrochemical behavior of coatings was studied through electrochemical impedance spectroscopy (EIS) and Tafel analysis in Ringer’s lactate solution. Tafel analysis revealed that GO coatings deposited by GO water suspension increased corrosion protection efficiency of AZ31B Mg alloy by ~94%. After 72 h incubation in MC3T3-E1 osteoblast cells extract, in vitro analysis was performed to determine the cell viability and biocompatibility of the GO- coated and bare Mg samples. GO coatings deposited by GO water suspension demonstrated ~2× cell viability, as well as nontoxicity and better biocompatibility compared to the bare and other GO-coated Mg samples.

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…”

Section: Methodsmentioning

confidence: 99%

Role of Solvent Used in Development of Graphene Oxide Coating on AZ31B Magnesium Alloy: Corrosion Behavior and Biocompatibility Analysis

et al. 2022

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“…Therefore, it is preferable to use alloying elements that appear naturally in the body, such as Ca and Zn, which are considered safe for biomedical applications [ 2 ]. Ca improves the mechanical properties of Mg alloys and their corrosion resistance in multiple environments [ 3 , 4 ], while Zn improves strength and castability when combined with Ca, Si, or Mn [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of Heat Treatment on the Dry Sliding Wear Behavior of the Mg-3Zn-0.4Ca Alloy for Biodegradable Implants

et al. 2023

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The wear behavior of the Mg-3wt.% Zn-0.4wt.% Ca (ZX30) alloy was tested using a pin-on-disc configuration with AZ31 alloy discs as counterparts under dry sliding conditions. The ZX30 alloy was tested in different states: as-cast, solution-treated, peak-aged, and over-aged. Wear rates and friction coefficients were measured at different loads and sliding speeds. Abrasion and oxidation were the main wear mechanisms found in all the conditions tested. Moreover, aluminum oxides were detected on the worn surfaces, which indicates the presence of an adhesive wear mechanism. The wear behavior of the studied ZX30 alloy showed a greater tendency towards oxidative wear than other Mg alloys, and the microstructure observed strongly affected the wear behavior.

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“…This is due to its natural abundance (2.5%) and lightweight nature (33% and 75% lighter than aluminum and steel, respectively) [2]. In addition, Mg-based alloys exhibit both biocompatibility [3] and suitable mechanical properties [1] to be employed as implants in medical applications [4]. The mechanical properties, including strength, ductility, and toughness, of Mg alloys are mainly associated with their microstructural parameters, such as grain size and morphology, grain boundaries, and texture, which, in turn, evolve after the processing of these materials.…”

Section: Introductionmentioning

confidence: 99%

Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling

2022

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In the present work, machine learning (ML) was employed to build a model, and through it, the microstructural features (parameters) affecting the stress concentration (SC) during plastic deformation of magnesium (Mg)-based materials are determined. As a descriptor for the SC, the kernel average misorientation (KAM) was used, and starting from the microstructural features of pure Mg and AZ31 Mg alloy, as recorded using electron backscattered diffraction (EBSD), the ML model was trained and constructed using various types of ML algorithms, including Logistic Regression (LR), Decision Trees (DT), Random Forest (RF), Naive Bayes Classifier (NBC), K-Nearest Neighbor (KNN), Multilayer Perceptron (MLP), and Extremely Randomized Trees (ERT). The results show that the accuracy of the ERT-based model was higher compared to other models, and accordingly, the nine most-important features in the ERT-based model, those with a Gini impurity higher than 0.025, were extracted. The feature importance showed that the grain size is the most effective microstructural parameter for controlling the SC in Mg-based materials, and according to the relative Accumulated Local Effects (ALE) plot, calculated to show the relationship between KAM and grain size, it was found that SC occurs with a lower probability in the fine range of grain size. All findings from the ML-based model built in the present work were experimentally confirmed through EBSD observations.

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Biodegradable properties of AZ31-0.5Ca magnesium alloy

Cited by 10 publications

References 28 publications

Role of Solvent Used in Development of Graphene Oxide Coating on AZ31B Magnesium Alloy: Corrosion Behavior and Biocompatibility Analysis

Role of Solvent Used in Development of Graphene Oxide Coating on AZ31B Magnesium Alloy: Corrosion Behavior and Biocompatibility Analysis

Effect of Heat Treatment on the Dry Sliding Wear Behavior of the Mg-3Zn-0.4Ca Alloy for Biodegradable Implants

Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling

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