IIT Portal

Nanostructured Materials Group

Address

Dr. Prabhakaran S.

Research InterestPolyamide membranes, Blue energy harvesting, Optical sensors, Chromoionophores, Porous polymers, Heavy metal detection, Lanthanide/actinide separation.

Representative Publications :

1. P. Srinivasan, P. Deivasigamani, Bimodal meso-/macro-porous polymer monolith decorated chromophoric ion-receptor as dualistic solid-state optical sensor for the ultrafast and selective recovery of cobalt ions, Surfaces and Interfaces. 27 (2021) 101506.

2. P. Srinivasan, D.K. Madhu, S. Pedugu Sivaraman, S. Kuppusamy, S. Nagarajan, C.V.S.B. Rao, P. Kancharlapalli Chinaraga, A.M. Mohan, P. Deivasigamani, Chromoionophore decorated renewable solid-state polymer monolithic naked eye sensor for the selective sensing and recovery of ultra-trace toxic cadmium ions in aqueous environment, Colloids Surfaces A Physicochem. Eng. Asp. 656 (2023) 130377.

3. P. Srinivasan, P. Deivasigamani, Solid-state naked-eye sensing of Cu(II) from industrial effluents and environmental water samples using probe integrated polymeric sensor materials, Microchem. J. 185 (2023) 108224.

4. P. Srinivasan, D.K. Madhu, S. Pedugu Sivaraman, S. Nagarajan, C.V.S.B. Rao, P. K Chinaraga, A.M. Mohan, P. Deivasigamani, Chromoionophoric probe imbued porous polymer monolith as a Three-in-One Solid-state Naked-eye sensor for the selective sensing and recovery of Ultra-trace Lead, Mercury, and cadmium ions from Industrial/Environmental samples, Chem. Eng. J. 471 (2023) 144627.

5. P. Srinivasan, S. P. Sivaraman, D.K. Madhu, P. Sengupta, B. Kattela, S. Nagarajan, A.M. Mohan, P. Deivasigamani, Sustainable and reusable probe-encapsulated porous poly(AMST-co-TRIM) monolithic sensor for the selective and ultra-sensitive detection of toxic cadmium(II) from industrial/environmental wastewater, J. Hazard. Mater. 469 (2024) 133960.

6. P. Srinivasan, S. P. Sivaraman, A.M. Mohan, D.K. Madhu, P. K Chinaraga, C.V.S.B. Rao, S. Nagarajan, P. Deivasigamani, Chromoionophoric molecular probe infused bimodal porous polymer rostrum as solid-state ocular sensor for the selective and expeditious optical sensing of ultra-trace toxic mercury ions, J. Hazard. Mater. 478 (2024) 135483.

7. S. Pedugu Sivaraman, S. Krishna Kumar, P. Srinivasan, D.K. Madhu, P. Kancharlapalli Chinaraga, S. Nagarajan, B. C.V.S. Rao, P. Deivasigamani, A.M. Mohan, Fabrication of reusable probe impregnated polymer monolithic sensor for the visual detection of Cd²⁺ in natural waters and cigarette samples, J. Hazard. Mater. 459 (2023) 132248.

8. S.P. Sivaraman, P. Srinivasan, D.K. Madhu, P.K. Chinaraga, B.C.V.S. Rao, S. Nagarajan, P. Deivasigamani, A.M. Mohan, Molecular Probe Embedded Porous Polymer Scaffold as Solid-State Visual Sensor for Selective and Sequential Sensing of Ultra-Trace Toxic Heavy Metal Ions in Environmental/Commercial Samples, Adv. Funct. Mater. 34 (2024) 2310851.

9. S. P. Sivaraman, P. Srinivasan, D.K. Madhu, B. Kattela, P. Sengupta, P.P. Patra, L. Doulo, S. Nagarajan, P. K Chinaraga, P. Deivasigamani, A.M. Mohan, Chromoionophoric probe decorated porous polymer monolithic scaffold as solid-state colorimetric sensor and concentrator for target specific capturing of ultra-trace copper and cobalt ions, Colloids Surfaces A Physicochem. Eng. Asp. 703 (2024) 135209.

10. A. Pavoor Veedu, A.M. Mohan, B. Jeyakumar, J. Roy, P. Srinivasan, S. Nagarajan, P. Deivasigamani, Molecular receptors integrated bimodal porous polymer scaffolds as portable solid-state optical ion-sensors and extractors for the selective capturing of ultra-trace toxic copper ions, Anal. Chim. Acta. 1307 (2024) 342625.

11. S. Pedugu Sivaraman, P. Srinivasan, D.K. Madhu, P. Deivasigamani, A.M. Mohan, Probe-infused polymer monolithic sensor for colorimetric detection of Pb²⁺ in environmental water samples and tobacco extracts, J. Hazard. Mater. 487 (2025) 137247.

  1. 2020-2024

    Ph.D

    Vellore Institute of Technology (VIT)
  2. 2016-2018

    M.Sc.

    Loyola College (Autonomous), Chennai
  3. 2013-2016

    B.Sc.

    Loyola College (Autonomous), Chennai