Back close

Planar Resonator based Sensor for Adulteration Detection

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Aiswarya S.
Planar Resonator based Sensor for Adulteration Detection

The development of microwave sensors for adulteration detection involves a comprehensive literature survey to identify various adulterants present. A microwave resonator is designed using simulation software, leveraging the variation in material properties to detect adulteration. Following design optimization, the sensor is fabricated and experimentally tested to validate simulation results, ensuring accuracy and reliability. Successful prototypes are then refined for productization, aiming to offer a practical solution for real-time adulteration detection in the food industry, ensuring consumer safety and maintaining oil quality standards.

Name of Staff and Students from Amrita : Prof. K A Unnikrishana Menon, Ms Meenu L, Dr Sreedevi K Menon

Publication Details

  1. Aiswarya, S., Sreedevi K. Menon, Massimo Donelli, and L. Meenu. “Development of a Microwave Sensor for Solid and Liquid Substances Based on Closed Loop Resonator.” Sensors 21 (2021): 8506.
  2. Aiswarya, S., L. Meenu, K. A. Menon, Massimo Donelli, and Sreedevi K. Menon. “A Novel Microstrip Sensor Based on Closed Loop Antenna for Adulteration Detection of Liquid Samples.” IEEE Sensors Journal 24, no. 2 (2024): 1405-1414.

Related Projects

Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Molecular Structural Studies of Complex Natural Products by LCMS and UV Spectrophotometry
Molecular Structural Studies of Complex Natural Products by LCMS and UV Spectrophotometry
Isolation and identification of endophytes from marine algae
Isolation and identification of endophytes from marine algae
IoT for Smart Farming
IoT for Smart Farming
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Admissions Apply Now