Indriyosense · Kolkata · self test · OK
We integrate electronic materials, sensor engineering, electronics and intelligent software to create healthcare solutions aimed at earlier diagnosis, continuous monitoring and better patient outcomes.
Without measurement, dosing is an estimate
Plasma levodopa · simulated
1.51µM
01 · About
Our expertise spans five parallel capabilities:
Electrochemical detection of clinically meaningful molecules in blood and biofluids, on engineered electrode surfaces rather than fragile biological catalysts.
MDS 2025 · Applied Physics Letters · ACS Biomaterials Science & Engineering
02 · Technology architecture
03 · The problem
Levodopa concentration changes rapidly, with its blood level decreasing by approximately half within 1–2 hours.
Levodopa monitoring is currently performed through venous blood collection and laboratory-based techniques, resulting in a time-consuming process that is poorly suited to a rapidly changing drug concentration.
Real-time therapeutic drug monitoring is not yet routinely available: although wearables and patient diaries are used to assess symptoms, the actual levodopa concentration associated with those symptoms remains unmeasured.
One dose, over eight hours
Illustrative · not patient data
Drag across the chart, or press play, to see how quickly a single dose fades. Shape is schematic.
04 · The product
MONOTECT
Investigational device. Under development and not approved for clinical use in any jurisdiction.
MONOTECT is being developed so that a single drop of blood from a fingertip, on a small disposable strip, can show how much of your Parkinson's medicine is in your bloodstream, in about the time it takes to check a blood sugar reading.
It is a finger-prick sensor being developed to help monitor levodopa levels in Parkinson's patients, with the goal of supporting more informed dosing decisions and a better quality of life. It integrates non-enzymatic electrochemical sensing technology with innovative functional materials and intelligent data analytics, and is engineered to deliver rapid measurements in support of personalized disease management. Analytical performance is under evaluation.
Once validated, it is intended to assist clinicians in monitoring disease progression, evaluating therapeutic response and optimizing treatment strategies through timely and actionable insights. It is portable and user-friendly, designed for point-of-care and remote healthcare applications with the aim of reducing the need for frequent hospital visits and improving patient convenience and quality of life.
Screen- and inkjet-printed three-electrode strips on flexible substrates.
05 · Research & Recognition
06 · Team
Abhijit Narayan Eshore
Co-founder & Director · Research Scientist, IIT Kharagpur
A PhD from IIT Kharagpur, with expertise spanning advanced electronics materials, sensing technologies, interfacing electronics, circuit design, embedded machine learning and IoT/BLE. He has authored peer-reviewed publications and patents in next-generation sensing.
Crystallographic nanojunctions of bismuth ferrite for unconventional detection of carbon monoxide. ACS Applied Nano Materials, 2023
A selective resistive CO gas sensor based on bio-waste derived 2D-CaO nanoplates. Nanoscale, 2026
Electrochemical spectroscopy: a novel technique for trace-level glucose detection. IEEE Sensors Letters, 2024, with Prof. Ioannis Kymissis, Columbia University
Priyanka Dutta
Co-founder & Director · Senior Research Fellow, IIT Kharagpur
Specialising in state-of-the-art fabrication and device-integration techniques, prototype validation and innovative engineering for healthcare, working towards precision diagnostics that are affordable and reach patients.
Fully screen-printed flexible electrochemical sensor based on Ti₃C₂Tₓ–CuO nanocomposite for simultaneous determination of dopamine and uric acid. IEEE Sensors Journal, 2026
A direct MIP-interfaced FET sensor for sensitive, selective and real-time biomolecule detection in unamplified samples. Applied Physics Letters, 2023
Molecularly imprinted polymer interface on screen-printed ZnO nanorod field effect transistors for serotonin detection in clinical samples. ACS Biomaterials Science & Engineering, 2023
Prof. Prasanta Kumar Guha
Co-founder & Advisor · E&ECE Department, IIT Kharagpur
A Professor at IIT Kharagpur with expertise in material science, advanced electronics, semiconductor physics and related models, device fabrication and sensing technologies. He provides strategic guidance on research and technology development, product innovation and scientific direction.
Google Scholar, August 2026
MPhil and PhD, University of Cambridge · Research Associate, University of Warwick · IIT Kharagpur since 2010 · In-charge, VLSI Engineering Lab
Smart and selective gas sensor system empowered with machine learning over IoT platform. IEEE Internet of Things Journal, 2023
Hierarchical nanostructured WO₃–SnO₂ for selective sensing of volatile organic compounds. Nanoscale, 2015 · 255 citations
Selective discrimination of VOCs applying gas sensing kinetic analysis over a metal oxide-based chemiresistive gas sensor. ACS Sensors, 2021 · 184 citations
07 · Contact
We are talking to movement-disorder clinicians who want to pilot the device, engineers who want to build sensors that reach patients, and partners who share the goal. If you are one of them, write to us.