MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202521015369 A) filed by Rungta International Skills University; Rungta College Of Engineering & Technology; and Rungta College Of Pharmaceutical Sciences And Research on February 22, 2025, for Portable Ai-Powered Spectroscopy System For Real-Time Food Adulteration Detection And Authentication.
Inventors include Dr. Padmavati Shrivastava; Gourav Kumar Ojha; Sagen Murmu; Umang Kumar Bhasin; Nitish Pathak; Aditya Kumar Sahu; Rohan Kumar; Abhinav Kumar; and Tanishq Jain.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: Portable AI-Powered Spectroscopy System for Real-Time Food Adulteration Detection and Authentication This invention describes a portable, AI-driven spectroscopy system for real-time food adulteration detection, blockchain-secured traceability, and cloud-enabled regulatory reporting. The system integrates Raman and near- infrared (NIR) spectroscopy for non-invasive molecular analysis, identifying chemical adulterants with high precision. An AI-based adulteration detection module interprets spectral data, refining accuracy through adaptive learning. The blockchain-secured authentication framework ensures tamper-proof, legally verifiable test results, while cloud connectivity enables instant regulatory reporting and geo-mapped contamination analytics. A dynamic spectral adjustment subsystem optimizes scanning parameters based on food type, ensuring broad applicability across liquids, solids, and processed foods. The community-driven adaptive learning model enhances detection resilience by integrating user-generated test data. With real-time analysis, decentralized verification, and regulatory enforcement capabilities, the invention establishes a scientifically robust, legally enforceable, and technologically advanced solution for comprehensive food safety monitoring and compliance enforcement.
Disclaimer: Curated by HT Syndication.
