VOC Response-Pattern Sensing with the VolTrac™ Platform

Advancing VOC sensing with tunable chemi-resistive sensors designed for low-cost, low-power, and seamless integration.

The VolTrac™ VOC Sensor

🚀 NVIDIA Inception Program Member - Accelerating AI-Powered VOC Analysis Every living organism emits VOCs, unique markers of their physiological state, serving as a chemical dialogue between species. This chemical language provides insights into biological processes at a granular level. To harness this data, it's essential to capture response patterns from multiple volatiles and interpret distinct molecular fingerprints corresponding to defined states. AI algorithms support downstream pattern analysis.

Project VolTrac™ is at the forefront of this endeavor, pioneering the development of cost-effective, energy-efficient VOC sensors designed for PPB-level sensitivity targets, pattern-level selectivity, and robust stability. These seamlessly blend with current technologies. Central to our innovation is a chemo-resistive sensing method, complemented by our unique sensor head preparation— a combo that's scalable and prime for miniaturization.
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The Core Principle: Chemi-resistive Arrays

At the heart of the VolTrac™ platform is a chemi-resistive sensor array. Unlike optical or mass-spectrometry methods which are often bulky and expensive, chemi-resistive sensors operate by measuring changes in electrical resistance when exposed to target gases.

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Molecular Response Patterns

We functionalize polymers to be response-biased towards specific chemical families (e.g., aldehydes, ketones, alkanes). While no single sensor is perfectly selective, an array of diverse sensors creates a unique "fingerprint" for complex mixtures.

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Room Temperature Operation

Unlike metal-oxide (MOX) sensors that require high temperatures (200°C–400°C), our organic polymer sensors operate effectively at room temperature. This drastically reduces power consumption and enables compact, portable sensing systems.

AI-Powered Pattern Recognition

AI-Driven Analysis

Raw sensor data is just the beginning. The VolTrac™ platform employs sophisticated pattern recognition algorithms to interpret the complex signals from the sensor array.

  • Pattern Recognition: Our AI models analyze the collective response of the 8-sensor array to identify VOC response patterns.
  • Drift Compensation: Algorithms compensate for environmental factors like humidity and temperature to support consistent model performance.
  • Continuous Learning: As we collect more data from the field, our models are updated to improve response-pattern interpretation over time.
AI-Powered VOC Pattern Recognition

Hardware Specifications

The VolTrac™ sensor module is designed for compact, embedded applications, making it ideal for integration into medical devices, wearables, and environmental monitors.

Parameter Specification
Sensor Module Dimensions 30 mm x 30 mm
Weight 4 g
Array Size 8-16 Sensors
Sensitivity PPB-level targets for selected analytes
Operating Temperature 268K - 318K (Room Temperature)
Measurement Window ~15 seconds
Stability Evaluated through defined internal test cycles
Readout Interface Voltage Divider / ADC to Microcontroller
Connectivity Bluetooth, Wi-Fi
VolTrac™ Sensor Module

Latest Research Update

Secured ISO 13485:2016 certification for the Quality Management System. Secured CDSCO approval for OBA-L clinical evaluation.

Key Usecases
Some of the straight forward use-cases of the VolTrac™ sensor are as follows;
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Monitoring of perishables

Gauges the freshness and quality of food and other perishable goods.

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Human breath sensors
Human breath sensors

Analyzes human exhalation for signs of health conditions or anomalies.

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Wearable integration
Wearable integration

Incorporates into wearables to provide real-time environmental or health insights.

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Detection of plant stress
Detection of plant stress

Identifies early signs of plant distress or disease.

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Identification of Mother Trees
Identification of Mother Trees

Pinpoints primary, nurturing trees in a forest network.

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Air quality monitoring

Assesses environmental air conditions for pollutants or hazards.

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Identification of plant-microbe interactions
Identification of plant-microbe interactions

Analyzes the symbiotic relationships between plants and microorganisms.

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Pheromone sensor
Pheromone sensor

Detects specific chemical signals emitted by organisms, signaling various behaviors or states.

The importance of sensitivity and selectivity

Volatile Organic Compounds (VOCs) are like the alphabets in the language of life. It transmits vital information that can only be deciphered with the right tools. This is where the dual importance of sensitivity and selectivity in VOC sensors comes to the fore.

Sensitivity refers to the sensor's capability to detect even minuscule amounts of a specific compound in a given medium. Quantified in units such as Parts Per Million (PPM) or Parts Per Billion (PPB), sensitivity essentially gauges the sensor's efficiency in recognizing low-concentration response changes in a given test setup. VolTrac™ is being developed for PPB-level sensitivity targets in selected analyte workflows, enabling response-pattern analysis of subtle VOC changes.

Selectivity, on the other hand, revolves around a sensor array's proficiency in differentiating response patterns between diverse analytes. This discernment becomes particularly critical when dealing with complex biological systems wherein numerous VOCs might coexist. Leveraging advanced nanotechnology, our sensors are engineered to support structurally and functionally distinct response patterns.

When interfacing with biology, where the stakes are high and the language intricate, sensors must be acutely sensitive to pick up even the faintest whispers of VOCs and very selective to accurately interpret the said signals without confusion.
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VolTrac™, History at a glance

A quick view of how VolTrac™ has evolved across sensor performance, IP milestones and real-world pilot evaluations.

Sensors & Performance

  • 2019 Dec – VolTrac™ research programme launched.
  • 2021 Dec – First 1 cm² sensor prototype built.
  • 2022 May – Chemically stable VOC sensor head fabricated.
  • 2022 Aug – 100 ppb detection in controlled facility.
  • 2023 Mar – Multi-channel VOC sensor array validated in lab.
  • 2023 Jul – 9 new sensor heads across key domains.
  • 2023 Sep – 10 ppb room-temperature sensitivity demonstrated.
  • 2023 Dec – Sensor heads with improved transient responses.
  • 2024 Jul – 17+ domain-specific sensor heads across VOC spaces.
  • 2024 Oct – Low-ppb sensitivity evaluated under selected ambient test conditions.
  • 2024 Dec – 20+ sensor heads covering wider VOC panel.
  • 2025 Aug – Developed further sensor heads for specific use cases like AHM, Compound detection etc.
  • 2025 Sep – 25+ sensor heads covering wider VOC panel.
  • 2025 Dec – Miniaturized sensor modules for small footprint applications.
  • 2026 Mar – Low power VOC sensors for real-time monitoring.

IP & Recognition

  • 2022 Nov – Patent application for VolTrac™ filed.
  • 2024 May – International patent application submitted.
  • 2024 Jun – Indian patent for VolTrac™ technology granted.
  • 2025 May – Additional patent applications advanced in regional phases.
  • 2025 Oct – National media spotlight on 90-second VolTrac™ breath screening.
  • 2026 Feb – Trademark applications advanced.
  • 2026 Apr – Applied for further patents.
  • 2026 May – CDSCO approval for OBA-L clinical evaluation received.
  • 2026 May – ISO 13485:2016 certification received.

Clinical & Ecosystem

  • 2019 Dec – Clinical translation set as long-term VolTrac™ goal.
  • 2024 Mar – Pharma collaboration for TB, COPD and asthma pilots.
  • 2025 Jan – Connected prototype enables field and early clinical pilots.
  • 2025 Mar – 10-sensor prototypes prepared for multi-site hospital trials.
  • 2025 Jul – 18-sensor prototypes prepared for trials.
  • 2025 Sep – Connected prototype with Bluetooth and Wi-Fi rolled out.
  • 2025 Oct – Different foam factors (Hand-held, Bench-top, Wall-mount) rolled out to enable different usecases.
  • 2025 Nov – MCC incubation for OBA-L™ and DeTecX™-BF pilot evaluations.
  • 2026 Jan – Independent Ethical Committee clearence recieved for Lung cancer screening at MCC for OBA-L™.
  • 2026 Mar – Partnered with DDNMRC for clinical studies.
  • 2026 May – Partnered with BGS Medical college and Hospitals for clinical studies.