MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202621060649 A) filed by Dr. Santosh Mani; Dr. Archana Sharma; Teku Bhau Thakre; Dr. Pushpendra Rai; Dr R Umapriya; Mr. G. K. Vinay Kumar; and Dayananda Sagar Academy Of Technology And on May 13, 2026, for Ai-Enabled Microfluidic Reactor For Rapid Nanoparticle Synthesis And Real-Time Reaction Monitoring.

Inventors include Dr. Santosh Mani; Dr. Archana Sharma; Teku Bhau Thakre; Dr. Pushpendra Rai; Dr R Umapriya; Mr. G. K. Vinay Kumar; and Dayananda Sagar Academy Of Technology And Management.

The application for the patent was published on July 10, 2026, under issue no. 28/2026.

Abstract: ABSTRACT AI-Enabled Microfluidic Reactor for Rapid Nanoparticle Synthesis and Real-Time Reaction Monitoring The present invention discloses an AI-enabled microfluidic reactor system designed for rapid, controlled synthesis of nanoparticles with integrated real-time reaction monitoring and adaptive optimization capabilities. The system combines microfluidic channel networks, precise flow control mechanisms, and embedded sensing units with advanced artificial intelligence algorithms to achieve high-throughput and reproducible nanoparticle production. The microfluidic platform enables precise manipulation of reaction parameters such as flow rate, temperature, reagent concentration, and mixing efficiency at microscale levels, thereby ensuring uniform nucleation and growth of nanoparticles. Integrated optical, spectroscopic, and electrochemical sensors continuously capture reaction data, which is processed by machine learning models to predict particle size, morphology, and distribution in real time. The AI module dynamically adjusts process parameters through a feedback loop to maintain optimal synthesis conditions, minimize waste, and improve yield. The system supports the synthesis of a wide range of nanoparticles, including metallic, polymeric, and semiconductor nanomaterials, with applications in drug delivery, catalysis, electronics, and energy storage. Compared to conventional batch synthesis methods, the proposed invention offers enhanced precision, scalability, reduced reaction time, and improved reproducibility.

Disclaimer: Curated by HT Syndication.