Priyavrat Tiwary
@vksuexams.com
RESEARCH SCHOLAR (Department of Physics)
VEER KUNWAR SINGH UNIVERSITY, ARA, BIHAR
@vksuexams.com
RESEARCH SCHOLAR (Department of Physics)
VEER KUNWAR SINGH UNIVERSITY, ARA, BIHAR
The increasing demand for real-time monitoring of aquatic environments has highlighted the need for compact, energy-efficient, and intelligent water quality sensing systems. This research proposes the design and development of a low-power, self-contained aquatic sensor device based on conducting polymer nanocomposites for continuous monitoring of critical water quality parameters. The device integrates advanced nanocomposite sensing materials with embedded electronics and wireless communication technologies to enable autonomous operation in remote aquatic environments. Conducting polymer nanocomposites are employed as the sensing medium due to their high sensitivity, rapid response, excellent electrical conductivity, and environmental stability. The developed sensor is capable of detecting key water quality indicators such as pH, dissolved oxygen, turbidity, temperature, and the presence of toxic contaminants.
This research focuses on the development of an impedimetric/voltammetric paper-based electrochemical analytical device (PAD) modified with two-dimensional MXene nanomaterials for the sensitive detection of trace contaminants in wastewater. The proposed sensor aims to identify low concentrations of heavy metals such as lead (Pb²⁺) and copper (Cu²⁺), along with microplastic pollutants, in local wastewater matrices. MXenes are selected due to their exceptional electrical conductivity, large surface area, hydrophilicity, and excellent electrochemical activity, which significantly enhance sensing performance. The paper-based platform offers advantages including low cost, portability, flexibility, and ease of fabrication, making it suitable for on-site environmental monitoring. Electrochemical techniques such as electrochemical impedance spectroscopy (EIS) and voltammetry will be employed to achieve rapid and highly sensitive detection.
This research aims to develop an ultra-sensitive and non-invasive diagnostic platform based on gold-nanostar decorated graphene quantum dots (AuNS-GQDs) for the rapid detection of specific microRNA biomarkers, viral antigens, and bacterial strains from human saliva samples. The proposed nanohybrid sensing system combines the exceptional optical and electrical properties of graphene quantum dots with the enhanced plasmonic activity of gold nanostars to achieve highly sensitive and selective biosensing performance. The platform is designed to enable early-stage disease diagnosis through simple saliva-based analysis, eliminating the need for invasive blood sampling procedures. Advanced electrochemical and optical sensing techniques will be employed to detect trace-level biomolecules associated with infectious diseases and other health conditions. The developed sensor is expected to exhibit rapid response, high specificity, low detection limits, and excellent biocompatibility.
Scholar Citations
Scholar h-index
