Advanced Materials for Pollution Control that Integrate Engineering Science with Environmental Conservation

Year 2024, Volume: 9 Issue: 3, 77 - 87, 31.12.2024

Kalandar Saparov , Zukhra Yakhshieva Gulbahor Kholdorova Mahfuza Sangirova Gulchehra Dadaeva Khudayor Rajabov Uktam Asallaev Nigora Safarova

https://doi.org/10.28978/nesciences.1581548

Abstract

Advanced materials open wide avenues toward solving one of the most serious problems facing the world due to pollution by bridging the gap between engineering science and the protection of the envi-ronment. This review covers the synthesis and applications of novel materials for the reduction of all kinds of pollution-air, water, or soil contamination. The work reviewed some of the latest developed materials, such as nanomaterials, metal-organic frameworks, and catalytic compounds on their effi-ciency in the detection, capture, and degradation of pollutants. Case studies on air filtration systems, water purification technologies, and soil remediation efforts are scrutinised to show the true value of such materials in realistic applications. The article also goes on to discuss how the integration of these kinds of advanced materials into engineering practices can enhance the efficiency of the relevant pol-lution control systems while minimizing environmental footprints. This review is intended to provide a perspective on the future of sustainable technologies for pollution control, drawing inspiration from material science to environmental engineering. These findings necessitate further interdisciplinary re-search efforts because of pressing ecological crises for elaborating environmentally friendly engineer-ing approaches.

Keywords

Advanced materials, pollution control, the science of engineering, conservation of the environment, nanomaterials.

References

• Alawa, B., Galodiya, M. N., & Chakma, S. (2022). Source reduction, recycling, disposal, and treatment. In Hazardous waste management (pp. 67-88). Elsevier. https://doi.org/10.1016/B978-0-12-824344-2.00005-7
• Casini, M. (2016). Smart buildings: Advanced materials and nanotechnology to improve energy-efficiency and environmental performance. Woodhead Publishing.
• Chang, J. S. (2001). Recent development of plasma pollution control technology: a critical review. Science and Technology of Advanced Materials, 2(3-4), 571-576. https://doi.org/10.1016/S1468-6996(01)00139-5
• Cooper, C. D., & Alley, F. C. (2010). Air pollution control: A design approach. Waveland press.
• Khanam, Z., Sultana, F. M., & Mushtaq, F. (2023). Environmental Pollution Control Measures and Strategies: An Overview of Recent Developments. Geospatial Analytics for Environmental Pollution Modeling: Analysis, Control and Management, 385-414. https://doi.org/10.1007/978-3-031-45300-7_15
• Kitagawa, S. (2014). Metal–organic frameworks (MOFs). Chemical Society Reviews, 43(16), 5415-5418. https://doi.org/10.1039/C4CS90059F
• Knežević, D., & Knežević, N. (2019). Air Pollution-Present and Future Challenges, Case Study Sani-tary Landfill Brijesnica in Bijeljina. Archives for Technical Sciences, 1(20), 73–80. https://doi.org/10.7251/afts.2019.1120.073K
• Mihelcic, J. R., Crittenden, J. C., Small, M. J., Shonnard, D. R., Hokanson, D. R., Zhang, Q., ... & Schnoor, J. L. (2003). Sustainability science and engineering: the emergence of a new metadiscipline. Environmental science & technology, 37(23), 5314-5324. https://doi.org/10.1021/es034605h
• Mihelcic, J. R., Naughton, C. C., Verbyla, M. E., Zhang, Q., Schweitzer, R. W., Oakley, S. M., ... & Whiteford, L. M. (2017). The grandest challenge of all: The role of environmental engineering to achieve sustainability in the world's developing regions. Environmental Engineering Science, 34(1), 16-41. https://doi.org/10.1089/ees.2015.0334
• Mousa, T. U. (2022). The Role of the Accounting Profession in Controlling Environmental Pollution According to Requirements of Social Responsibility in Industrial Companies. International Aca-demic Journal of Social Sciences, 9(1), 29-42. https://doi.org/10.9756/IAJSS/V9I1/IAJSS0904
• Odilov, B. A., Madraimov, A., Yusupov, O. Y., Karimov, N. R., Alimova, R., Yakhshieva, Z. Z., & Akhunov, S. A. (2024). Utilizing Deep Learning and the Internet of Things to Monitor the Health of Aquatic Ecosystems to Conserve Biodiversity. Natural and Engineering Sciences, 9(1), 72-83. https://doi.org/10.28978/nesciences.1491795
• Shakir, M., Kumaran, U., & Rakesh, N. (2024). An Approach towards Forecasting Time Series Air Pol-lution Data Using LSTM-based Auto-Encoders. Journal of Internet Services and Information Se-curity, 14(2), 32-46. https://doi.org/10.58346/JISIS.2024.I2.003
• Wang, W. Y., Li, J., Liu, W., & Liu, Z. K. (2019). Integrated computational materials engineering for advanced materials: A brief review. Computational Materials Science, 158, 42-48. https://doi.org/10.1016/j.commatsci.2018.11.001