Published: Jan. 1, 2025
Language: Английский
Chemical Society Reviews, Journal Year: 2023, Volume and Issue: 52(17), P. 6191 - 6220
Published: Jan. 1, 2023
This review highlights the recent progress in piezoelectric gels (also known as PiezoGels) comprised of polymers, ceramic oxides and supramolecular materials used for energy harvesting, sensing wound dressing.
Language: Английский
Citations
65
Biosensors, Journal Year: 2024, Volume and Issue: 14(2), P. 67 - 67
Published: Jan. 27, 2024
The integration of nanomaterials into sensor technologies not only poses challenges but also opens up promising prospects for future research. These include assessing the toxicity nanomaterials, scalability issues, and seamless these materials existing infrastructures. Future development opportunities lie in creating multifunctional nanocomposites environmentally friendly nanomaterials. Crucial to this process is collaboration between universities, industry, regulatory authorities establish standardization evolving field. Our perspective favours using screen-printed sensors that employ with high electrochemical conductivity. This approach offers cost-effective production methods allows customizable designs. Furthermore, incorporating hybrids based on carbon-based functionalized Mxene significantly enhances performance. conductivity are portable, rapid, well-suited on-site environmental monitoring, seamlessly aligning Internet Things (IoT) platforms developing intelligent systems. Simultaneously, advances technology actively working elevate sensitivity through integrating nanotechnology, miniaturization, innovative electrode comprehensive aims unlock full potential technologies, catering diverse applications ranging from healthcare monitoring. review summarise latest trends hybrid nanomaterial-based sensors, explicitly focusing their application detecting contaminants.
Language: Английский
Citations
31
ACS Sensors, Journal Year: 2024, Volume and Issue: 9(4), P. 1706 - 1734
Published: April 2, 2024
The development of advanced technologies for the fabrication functional nanomaterials, nanostructures, and devices has facilitated biosensors analyses. Two-dimensional (2D) with unique hierarchical structures, a high surface area, ability to be functionalized target detection at surface, exhibit potential biosensing applications. electronic properties, mechanical flexibility, optical, electrochemical, physical properties 2D nanomaterials can easily modulated, enabling construction platforms various analytes targeted recognition, sensitivity, selectivity. This review provides an overview recent advances in nanostructures used biosensor wearable-sensor healthcare health-monitoring Finally, advantages 2D-nanomaterial-based several challenges their optimal operation have been discussed facilitate smart high-performance future.
Language: Английский
Citations
17
Sensors and Actuators Reports, Journal Year: 2024, Volume and Issue: 7, P. 100201 - 100201
Published: May 17, 2024
The distinct presence of a central atom surrounded by eight ligands leads to higher light absorption and charge carrier mobility in perovskite materials. peculiar nature the structure inspires all scientists researchers work more sustainable applications, such as solar cells, emitting diodes, transistor biosensors. capability material detecting smaller molecules O2, NO2 CO2 is higher. Therefore, several biosensors are demonstrated based on nanomaterial various chemical biological species with both solid solution states. immense sources research articles thrived author, review nanomaterials dimension biosensor application extensively. This covers major three areas nanomaterial, components characteristics biosensors, properties preparation materials trends nanostructure biosensor.
Language: Английский
Citations
11
Horticulturae, Journal Year: 2024, Volume and Issue: 10(3), P. 197 - 197
Published: Feb. 20, 2024
Artificial intelligence (AI) is revolutionizing approaches in plant disease management and phytopathological research. This review analyzes current applications future directions of AI addressing evolving agricultural challenges. Plant diseases annually cause 10–16% yield losses major crops, prompting urgent innovations. shows an aptitude for automated detection diagnosis utilizing image recognition techniques, with reported accuracies exceeding 95% surpassing human visual assessment. Forecasting models integrating weather, soil, crop data enable preemptive interventions by predicting spatial-temporal outbreak risks weeks advance at 81–95% precision, minimizing pesticide usage. Precision agriculture powered optimizes data-driven, tailored protection strategies boosting resilience. Real-time monitoring leveraging discerns pre-symptomatic anomalies from environmental early alerts. These highlight AI’s proficiency illuminating opaque patterns within increasingly complex data. Machine learning techniques overcome cognitive constraints discovering multivariate correlations unnoticed before. poised to transform in-field decision-making around prevention precision management. Overall, constitutes a strategic innovation pathway strengthen ecological health amidst climate change, globalization, intensification pressures. With prudent ethical implementation, AI-enabled tools promise next-generation phytopathology, enhancing resilience worldwide.
Language: Английский
Citations
10
Nano-Structures & Nano-Objects, Journal Year: 2024, Volume and Issue: 38, P. 101216 - 101216
Published: May 1, 2024
Language: Английский
Citations
8
Biosensors and Bioelectronics, Journal Year: 2025, Volume and Issue: 273, P. 117133 - 117133
Published: Jan. 5, 2025
Language: Английский
Citations
1
ACS Biomaterials Science & Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 10, 2025
This review explores the use of biogenic templates in nanomaterial synthesis, emphasizing their role promoting environmentally sustainable nanotechnology. It categorizes various templates, including agricultural byproducts and microorganisms, stating suitability for forming nanostructures due to distinct properties. A comparative analysis monostep multistep synthesis methods is provided, focusing on efficiencies outcomes when using templates. Further, this also highlights how these can generate complex hybrid materials with enhanced functionalities. Applications across biomedicine, biotechnology, environmental science, energy are discussed along utilization scope agriculture electronics. Benefits from biotemplates include sustainability, low cost, reduced toxicity, but challenges like scalability, reproducibility, regulatory compliance persist. Future research focuses improving techniques, discovering new evaluating cytotoxic impacts, especially biomedical uses. In conclusion, reaffirms potential while highlighting ongoing that need be addressed broader adoption.
Language: Английский
Citations
1
Advanced technologies and societal change, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 64
Published: Jan. 1, 2024
Language: Английский
Citations
7
Published: Jan. 26, 2024
Artificial intelligence (AI) is revolutionizing approaches in plant disease management and phy-topathological research. This review analyzes current applications future directions of AI addressing evolving agricultural challenges. Plant diseases annually cause 10-16% yield losses major crops, prompting urgent innovations. shows aptitude for auto-mated detection diagnosis utilizing image recognition techniques, with reported accuracies exceeding 95% surpassing human visual assessment. Forecasting models inte-grating weather, soil, crop data enable preemptive interventions by predicting spa-tial-temporal outbreak risks weeks advance at 81-95% precision, minimizing pesticide usage. Precision agriculture powered optimizes data-driven, tailored protection strategies boosting resilience. Real-time monitoring leveraging discerns pre-symptomatic anomalies from environmental early alerts. These highlight AI's proficiency il-luminating opaque patterns within increasingly complex data. Machine learning techniques overcome cognitive constraints discovering multivariate correla-tions unnoticed before. poised to transform in-field decision making around pre-vention precision management. Overall, constitutes a strategic innovation pathway strengthen ecological health amidst climate change, globalization, agri-cultural intensification pressures. With prudent ethical implementation, AI-enabled tools promise next-generation phytopathology, enhancing resilience worldwide.Artificial Intelligence, Phytopathology, Emerging Disease, Climate Change, Control diseases.
Language: Английский
Citations
6