MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641110978 A) filed by Dr B Nagaraj; Anguraj D; Vikkash S. U; Mahima Sri A; Krishna Praba M; Rekunathan B; and Rajeev S on September 16, 2026, for Alveolar Selective Smart Filter Breath Ammonia Diagnostic Patch.

Inventors include Anguraj D; Vikkash S. U; Mahima Sri A; Krishna Praba M; Rekunathan B; and Rajeev S.

The application for the patent was published on September 25, 2026, under issue no. 39/2026.

Abstract: This invention discloses a non-invasive, multi-layered colorimetric diagnostic patch integrated into a standard face mask for early screening and quantitative monitoring of chronic kidney disease (CKD) via metabolic breath ammonia analysis. Traditional breath analysis faces accuracy issues due to "oral noise" (contaminants from mouth bacteria/diet) and humidity interference. The proposed device overcomes these limitations using a zero-power sequential filtering stack inside a compact housing. A micro-porous sacrificial neutralizing layer infused with a urease inhibitor chemically traps and neutralizes transient oral ammonia spikes. A moisture- actuated hydro-expansive polymer gate remains closed during initial exhalation and opens only upon reaching the specific humidity and temperature threshold of deep- lung (alveolar) air. The isolated true metabolic breath reacts with a pH-sensitive indicator dye embedded in a stabilized hydrogel matrix, exhibiting a distinct color transition from yellow to blue-green when ammonia levels exceed a clinical kidney stress threshold of 800 ppb. To eliminate human visual error, the sensor is surrounded by a static, non-reactive color-calibration ring. This enables a standard smartphone camera to perform differential RGB analysis under any lighting condition, accurately calculating a quantitative ppb value and the corresponding estimated Glomerular Filtration Rate (eGFR) score. Leveraging trapped body heat (34°C - 37°C) within the face mask to standardize reaction kinetics, this low-cost, decentralized patch provides a highly accurate alternative to invasive blood tests, ideal for at-home diabetic monitoring and rural point-of-care clinics

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