Controlled growth of nanocomposite thin layer based on Zn-Doped MgO nanoparticles through Sol-Gel technique for biosensor applications

Mansoor, Sana; Shahid, Sammia; Ashiq, Kinza; Alfakeer, M; Javed, Mohsin; Iqbal, Shahid; Fatima, Urooj; Zaman, S. S.; Sarwar, Muhammad Nazim; Abourehab, Mohammed A.S.; Awwad, Nasser S.; Ibrahium, Hala A.

doi:10.1016/j.inoche.2022.109702

Cited by 21 publications

(6 citation statements)

References 28 publications

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“…Ultimately, this glucose transporter enables the absorption of glucose into the cells, where insulin functions to decrease glucose levels and generate ATP (9,10,11). Then, Mansoor and colleagues [205] synthesized Zn-doped magnesium oxide nanoflakes, applying a sol-gel method at ambient conditions, which were subsequently deposited on glassy carbon electrodes for glucose sensing. The as-developed nanosensor exhibited remarkable performance in glucose sensing, displaying a broader response range, low detection limits equal to 99 mM, and a rapid response time of five seconds, alongside a high sensitivity of 0.032 µA•m/M•cm 2 .…”

Section: Mgo-based Biosensors Towards Diabetes Detection and Treatmentmentioning

confidence: 99%

Magnesium Oxide (MgO) Nanoparticles: Synthetic Strategies and Biomedical Applications

Gatou,

Skylla,

Dourou

et al. 2024

Crystals

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In recent times, there has been considerable interest among researchers in magnesium oxide (MgO) nanoparticles, due to their excellent biocompatibility, stability, and diverse biomedical uses, such as antimicrobial, antioxidant, anticancer, and antidiabetic properties, as well as tissue engineering, bioimaging, and drug delivery applications. Consequently, the escalating utilization of magnesium oxide nanoparticles in medical contexts necessitates the in-depth exploration of these nanoparticles. Notably, existing literature lacks a comprehensive review of magnesium oxide nanoparticles’ synthesis methods, detailed biomedical applications with mechanisms, and toxicity assessments. Thus, this review aims to bridge this gap by furnishing a comprehensive insight into various synthetic approaches for the development of MgO nanoparticles. Additionally, it elucidates their noteworthy biomedical applications as well as their potential mechanisms of action, alongside summarizing their toxicity profiles. This article also highlights challenges and future prospects for further exploring MgO nanoparticles in the biomedical field. Existing literature indicates that synthesized magnesium oxide nanoparticles demonstrate substantial biocompatibility and display significant antibacterial, antifungal, anticancer, and antioxidant properties. Consequently, this review intends to enhance readers’ comprehension regarding recent advancements in synthesizing MgO nanoparticles through diverse approaches and their promising applications in biomedicine.

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Section: Mgo-based Biosensors Towards Diabetes Detection and Treatmentmentioning

confidence: 99%

Magnesium Oxide (MgO) Nanoparticles: Synthetic Strategies and Biomedical Applications

Gatou,

Skylla,

Dourou

et al. 2024

Crystals

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“…False positive (FP) and false negative (FN) are also used to evaluate the performance of these network resources. Equation (8) shows the accuracy computation of ML models.…”

Section: Comparison Of Models For Attack Densitiesmentioning

confidence: 99%

An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs)

Rashid

Saeed

Ali

et al. 2023

Sensors

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Modern vehicle communication development is a continuous process in which cutting-edge security systems are required. Security is a main problem in the Vehicular Ad Hoc Network (VANET). Malicious node detection is one of the critical issues found in the VANET environment, with the ability to communicate and enhance the mechanism to enlarge the field. The vehicles are attacked by malicious nodes, especially DDoS attack detection. Several solutions are presented to overcome the issue, but none are solved in a real-time scenario using machine learning. During DDoS attacks, multiple vehicles are used in the attack as a flood on the targeted vehicle, so communication packets are not received, and replies to requests do not correspond in this regard. In this research, we selected the problem of malicious node detection and proposed a real-time malicious node detection system using machine learning. We proposed a distributed multi-layer classifier and evaluated the results using OMNET++ and SUMO with machine learning classification using GBT, LR, MLPC, RF, and SVM models. The group of normal vehicles and attacking vehicles dataset is considered to apply the proposed model. The simulation results effectively enhance the attack classification with an accuracy of 99%. Under LR and SVM, the system achieved 94 and 97%, respectively. The RF and GBT achieved better performance with 98% and 97% accuracy values, respectively. Since we have adopted Amazon Web Services, the network’s performance has improved because training and testing time do not increase when we include more nodes in the network.

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“…Recently, chitosan has been used as an antibacterial material in packaging because of its certain antibacterial properties [ 32 ]. Nowadays, it has been used to develop nanosensors, showing excellent analytical behavior toward glucose sensing [ 33 ] as it also presents advantageous biological characteristic properties that make it an excellent biomaterial to be employed in skin tissue engineering [ 34 ]…”

Section: Introductionmentioning

confidence: 99%

Processing, Characterization and Disintegration Properties of Biopolymers Based on Mater-Bi® and Ellagic Acid/Chitosan Coating

et al. 2023

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Among the most promising synthetic biopolymers to replace conventional plastics in numerous applications is MaterBi® (MB), a commercial biodegradable polymer based on modified starch and synthetic polymers. Actually, MB has important commercial applications as it shows interesting mechanical properties, thermal stability, processability and biodegradability. On the other hand, research has also focused on the incorporation of natural, efficient and low-cost active compounds into various materials with the aim of incorporating antimicrobial and/or antioxidant capacities into matrix polymers to extend the shelf life of foods. Among these is ellagic acid (EA), a polyphenolic compound abundant in some fruits, nuts and seeds, but also in agroforestry and industrial residues, which seems to be a promising biomolecule with interesting biological activities, including antioxidant activity, antibacterial activity and UV-barrier properties. The objective of this research is to develop a film based on commercial biopolymer Mater-Bi® (MB) EF51L, incorporating active coating from chitosan with a natural active compound (EA) at two concentrations (2.5 and 5 wt.%). The formulations obtained complete characterization and were carried out in order to evaluate whether the incorporation of the coating significantly affects thermal, mechanical, structural, water-vapor barrier and disintegration properties. From the results, FTIR analysis yielded identification, through characteristic peaks, that the type of MB used is constituted by three polymers, namely PLA, TPS and PBAT. With respect to the mechanical properties, the values of tensile modulus and tensile strength of the MB-CHI film were between 15 and 23% lower than the values obtained for the MB film. The addition of 2.5 wt.% EA to the CHI layer did not generate changes in the mechanical properties of the system, whereas a 5 wt.% increase in ellagic acid improved the mechanical properties of the CHI film through the addition of natural phenolic compounds at high concentrations. Finally, the disintegration process was mainly affected by the PBAT biopolymer, causing the material to not disintegrate within the times indicated by ISO 20200.

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Controlled growth of nanocomposite thin layer based on Zn-Doped MgO nanoparticles through Sol-Gel technique for biosensor applications

Cited by 21 publications

References 28 publications

Magnesium Oxide (MgO) Nanoparticles: Synthetic Strategies and Biomedical Applications

Magnesium Oxide (MgO) Nanoparticles: Synthetic Strategies and Biomedical Applications

An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs)

Processing, Characterization and Disintegration Properties of Biopolymers Based on Mater-Bi® and Ellagic Acid/Chitosan Coating

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