Indian Institute of Technology Bombay

Publications

AEROSOL & NANOPARTICLE TECHNOLOGY LABORATORY > Publications

Journal Publications

2024

  1. Malyan, V., Kumar, V., Moni, M., Sahu, M., Prakash, J., Choudhary, S., Raliya, R., Chadha, T. S., Fang, J., & Biswas, P. (2024). Assessing the spatial transferability of calibration models across a low-cost sensors network. Journal of Aerosol Science, 181, 106437.
  1. Kumar, V., Malyan, V., Sahu, M., & Biswal, B. (2024). Aerosol sources characterization and apportionment from low-cost particle sensors in an urban environment. Atmospheric Environment: X, 22, 100271.
  1. Malyan, V., Kumar, V., Sahu, M., Prakash, J., Choudhary, S., Raliya, R., Chadha, T. S., Fang, J., & Biswas, P. (2024). Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy. Atmospheric Pollution Research, 15(3), 102027.
  1. Prajapati, B., Dharaiya, V. R., Sahu, M., Venkatraman, C., Biswas, P., Yadav, K., Pullokaran, D., Raman, R. S., Bhat, R., Najar, T. A., & Jehangir, A. (2024). Development of a physics-based method for calibration of low-cost particulate matter sensors and comparison with machine learning. Journal of Aerosol Science, 175, 106284.
  1. Ghosh, S., and Sahu, M. (2024).Ultrasound for the degradation of endocrine disrupting compounds in aqueous solution: A review on mechanisms, influence of operating parameters and cost estimation. Chemosphere, 349, 140864.

2023

  1. Agrawal, A., and Sahu, M. (2023). Forecasting PM2.5 Concentrations using Statistical Modeling for Bengaluru and Delhi Regions, Environmental Monitoring and Assessment, 2023, 195, 502.
  1. Chen, S., Cao, Q., Kuehn, T. H., Lo, C., Sahu, M., Mayya, Y. S., and D. Y. H. Pui, D. Y. H. (2023). Design of a Medium Scale Ambient PM2.5 Cleaning System, Aerosol and Air Quality Research, 23 (2),220437.
  1. Nishad V., Mandal, C., and Sahu, M. (2023). Study of Bioaerosol Disinfection Kinetics and Application of Non-linear Regression Analysis for Optimization of TiO2 based Photocatalytic Disinfection Process. Nanotechnology for Environmental Engineering.
  1. Ghosh, S., & Sahu, M. (2023). Adsorptive removal of dimethyl phthalate using peanut shell-derived biochar from aqueous solutions: equilibrium, kinetics, and mechanistic studies. Environmental Science and Pollution Research.
  1. Kumar, V., Malyan, V., Sahu, M., Biswal, B., Pawar, M., & Dev, I. (2023). Spatiotemporal analysis of fine particulate matter for India (1980–2021) from MERRA-2 using ensemble machine learning. Atmospheric Pollution Research, 101834.
  1. Kumar, V., Malyan, V., Sahu, M., & Biswal, B. (2023). Machine Learning Classification Model to Label Sources Derived from Factor Analysis Receptor Models for Source Apportionment. Aerosol and Air Quality Research, 23, 220386.
  1. Dharaiya, V. R., Malyan, V., Kumar, V., Sahu, M., Venkatraman, C., Biswas, P., Yadav, K., Haswani, D., Raman, R. S., Bhat, R., Najar, T. A., Jehangir, A., Patil, R. P., Pandithurai, G., Duhan, S. S., & Laura, J. S. (2023). Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites. Aerosol and Air Quality Research, 23(5), 220390.
  1. Kumar, A., Malyan, V., & Sahu, M. (2023). Air Pollution Control Technologies for Indoor Particulate Matter Pollution: A Review. Aerosol Science and Engineering.
  1. Mandal, C., Vartika Nishad, & Sahu, M. (2023). Impact of spatial distribution of light intensity on disinfection kinetics of Mycobacterium smegmatis and E. coli using TiO2-based photocatalyst. Nanotechnology for Environmental Engineering, 8(2), 567–579.

2022

  1. Malyan, V., Kumar, V., & Sahu, M. (2022). Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign. Journal of Aerosol Science, 106114.
  1. Ghosh, S., & Sahu, M. (2022). Phthalate pollution and remediation strategies: A review. Journal of Hazardous Materials Advances, 6, 100065.
  1. Kumar, V., Malyan, V., & Sahu, M. (2022). Significance of Meteorological Feature Selection and Seasonal Variation on Performance and Calibration of a Low-Cost Particle Sensor. Atmosphere, 13(4), 587.
  1. Kumar, V., Sahu, M., & Biswas, P. (2022). Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms. Aerosol and Air Quality Research, 22, 210240.

2021

  1. Kumar, V., & Sahu, M. (2021). Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2.5 sensor. Journal of Aerosol Science, 105809.

Book Chapters 

  1. Ghosh, S., & Sahu, M. (2023). Perspective Chapter: Mechanistic Understanding of Stability and Photocatalytic Efficiency of Titanium Dioxide Nanomaterials in Aquatic Media – A Sol-Gel Approach. In intechopen.com. IntechOpen.
  1. Sahu, M., Malyan, V., & Mayya, Y. S. (2021). Technologies for Controlling Particulate Matter Emissions from Industries. Pollution Control Technologies, 253–290.
  1. Mandal, C., & Sahu, M. (2021). Application of Metal and Metal Oxide Nanoparticles as Potential Antibacterial Agents. Energy, Environment, and Sustainability.

Policy Brief/Report (s) 

  1. Malyan, V., Kumar, V., Sahu, M., Mayya, Y.S., Biswas, P., Venkatraman, C. (2023). Improving Air Quality Monitoring in G20 Countries Through Low-Cost Sensor-Satellite Synergies. T20 Policy Brief.