MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202631068138 A) filed by Jis College Of Engineering; and Aicte-Idea Lab, Jis College Of Engineering on May 30, 2026, for " Self-Healing Random-Access Dna Data Storage Architecture Using Crispr-Indexed Memory Blocks And Mems Microfluidic Control".
Inventors include Dr. Partha Sarkar; Dr. Moumita Pal; Mr. Soumojit Dasgupta; Arijit Das; Sanjukta Mandal; Sneha Biswas; and Saptarshi Majumder.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a self-healing random-access DNA memory system using CRISPR-indexed retrieval and MEMS microfluidic control for ultra-dense, scalable, secure, and energy-efficient digital data storage. The invention integrates synthetic DNA memory blocks, programmable CRISPR-Cas molecular addressing, MEMS-based microfluidic automation, and autonomous repair mechanisms to enable selective storage, retrieval, modification, sequencing, and restoration of digitally encoded information stored within synthetic DNA sequences. Binary digital data is converted into nucleotide sequences comprising adenine (A), thymine (T), cytosine (C), and guanine (G), and organized into DNA memory blocks containing molecular address tags, payload regions, checksum verification sequences, repair markers, and redundancy segments. CRISPR-Cas systems guided by programmable RNA molecules selectively identify and retrieve targeted DNA memory blocks without sequencing the entire storage pool, thereby enabling efficient random-access molecular data operations. The MEMS microfluidic platform comprising microchannels, nanoscale valves, reaction chambers, biosensors, sequencing interfaces, and molecular routing pathways automates DNA synthesis, transport, purification, sequencing, retrieval, and repair processes with reduced reagent consumption and minimal human intervention. Integrated biosensors continuously monitor DNA integrity, mutation probability, environmental conditions, and retrieval accuracy, wherein upon detection of degradation or corruption, autonomous CRISPR-mediated correction and redundancy-based molecular reconstruction mechanisms restore damaged nucleotide sequences. The modular architecture permits scalable expansion through integration of additional storage cartridges, sequencing units, repair chambers, and MEMS processing modules without redesigning the primary infrastructure. The invention provides advantages including ultra-high storage density, long-term data preservation, programmable random-access retrieval, autonomous self-healing capability, enhanced molecular security, compact physical footprint, reduced energy consumption, and environmentally sustainable operation suitable for next- generation archival storage systems, molecular computing platforms, secure information preservation infrastructures, and cloud-scale ultra-dense data storage environments.
Disclaimer: Curated by HT Syndication.
