Worldwide concerns regarding the pollution of heavy metals in natural water resources have stimulated technological breakthroughs in the monitoring and removal of such targets. In the current era of rapidly advancing computational intelligence, digital solution methods are employed in almost every sector. Monitoring and sensor systems take advantage of these technologies for efficient integration of data on waterborne pollutants with artificial intelligence for real-time assessment. The various aspects of imaging-assisted quantification methods for heavy metals in water systems based on up-to-date knowledge in imaging equipment and tools, the potential of sensor materials, transduction techniques, and analytical techniques. It also emphasizes on the integrated efforts quantification of heavy metals/metalloids in the water systems by binding colorimetric sensors with digital readouts with the aid of commercially available colorimetric kits, mobile apps, and microfluidic devices. We have successfully developed (i) metal nanoparticles functionalized with an organic linkers, (ii) functionalized quantum dots derived from organic dyes & (iii) dual-colored ratiometric probe for quantification of heavy metals/metalloids in the water upto WHO limits.
As the demand of energy is increasing day by day and the world is switching towards renewable sources of energy; hydrogen is termed as cleanest form of fuel. Water is most abundant compound on earth which can be reduced to form hydrogen gas. In spite of the use of pure water for hydrogen production, polluted water can be used for this clean fuel production along with waste removal. The simultaneous production of hydrogen gas and waste removal can be achieved by photoelectrochemical(PEC) water splitting. For this the photoelectrode should be designed in such a way that it can utilize the waste for hydrogen production. The nanoform of semiconductor material can be decorated with CQDs to increase the photoactivilty and conversion efficiency of electrode. The COD and concentration of waste can be calculated to find out the pollutant degradation capability of electrode. By using PEC technique better conversion efficiency than other methods like fermentation, electrolysis and gasification can be achieved by optimization of electrode and selection of electrolyte. So it can be a promising technique for sustainable energy production as well as waste degradation.
The current work on the development of SERS substrate for detection of persistent organic pollutants is funded by the department of science and technology (DST) under Women Scientist Scheme A (WOS-A) scheme. This work is focused on the development of a MXene based plasmonic substrate as a substitute to Au/Ag films. The developed substrate will be investigated for the detection of persistent organic pollutants like PCBs and PBDEs. These pollutants are usually present as the flame retardants etc. in the electronic items. For the preliminary testing of the substrates in detection Methylene blue dye is being used as a model analyte. This study can be proved to be helpful in the development of a robust substrate for SERS technique which can further be implemented in the real time monitoring.
Towards harvesting the solar energy, this research lies under the renewable energy theme, wherein hydrogen (H2) fuel production at commercial scale is of high demand to meet escalating energy requirements and reduce environmental pollution. H2 fuel is namely produced by steam methane reforming, coal gasification, and water electrolysis. First two involve fossil fuels (finite and nonrenewable sources), while for third process feed-stock is water. However, the contribution achieved with water electrolysis is only ~4 %. Therefore, there is an utmost need to have and stable photo-electrodes (PEs) to enhance H2 production through photo-electrochemical (PEC) water splitting without any CO2 emissions in the environment. This research work is focused on the development of novel nano-structured photo-catalysts and photo-electrodes for solar-driven photo-electrochemical (PEC) water splitting for the generation of hydrogen fuel. We have successfully developed efficient and stable photoanodes (TiO2 nanofibers, GaN carbon quantum dots, plasmonic nanomaterials) and photocathodes (2D Materials, transition-metal based nanostructures, and chalcopyrites) which harvest solar energy and convert it into chemical fuel i.e. hydrogen. We have achieved a maximum ABPE efficiency of 4.8% with the stability of >10 hrs of these developed photoelectrodes.