MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202511061023 A) filed by Indian Institute Of Information Technology Allahabad on June 26, 2025, for Ai-Based System For Detecting Volatile Organic Compounds In Sebum Samples Using Metal-Oxide-Semiconductor Sensors And Method Of Operation.
Inventors include Dr. Pankaj Tyagi; Prof. Pritish Kumar Varadwaj; Mr. Deepak Kukreja; Dr. Imlimaong Aier; Dr. Suyash Singh; Dr. Ashutosh Kumar Mishra; Dr. Suneel Yadav; Prof. Neetesh Purohit; and Prof. Uma Shanker Tiwary.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: ABSTRACT: Title: AI-Based System for Detecting Volatile Organic Compounds in Sebum Samples using Metal-Oxide-Semiconductor Sensors and Method of Operation The present disclosure proposes an artificial intelligence (AI)-based system (100) for non-invasive analysis of volatile organic compounds (VOCs) from samples to classify VOC patterns associated with neurodegenerative conditions using metal-oxide-semiconductor (MOS) sensors (104). The AI-based system (100) comprises a sensor array unit (102). The AI-based system (100) utilizes a combination of seven different types of MOS sensors for capturing VOCs emitted through sample. The AI-based system (100) employs a trained artificial neural network (ANN) model to classify odor fingerprint data into multiple predefined pattern categories. The AI-based system (100) enables low-cost, early-stage pattern classification suitable for resource-limited settings.
Disclaimer: Curated by HT Syndication.
