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Nanomolar

Nanomolar provides a non‑invasive graphene sensor platform that detects multiple biomarkers such as glucose, lactate, and cortisol in sweat with sub‑nanomolar sensitivity. The system delivers real‑time quantitative data and analytics via a portable device, enabling point‑of‑care diagnostics, continuous athlete monitoring, and high‑frequency data collection for clinical research.

Singapore, Singapore1500+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Current health monitoring relies on invasive blood draws or subcutaneous sensors, which can be uncomfortable, limit testing frequency, and restrict real-time insight into biomarkers like glucose, lactate, and cortisol.

Solution

Nanomolar offers a non‑invasive sensing platform that uses graphene‑based sensors with sub‑nanomolar sensitivity to detect multiple biomarkers in sweat and other external bio‑fluids. The sensors provide instant analytics, delivering real‑time quantitative data without the need for needles or laboratory equipment. This enables point‑of‑care diagnostics, continuous performance monitoring for athletes, and high‑frequency data collection in clinical research, supporting preventive health strategies and data‑driven training programs.

Target Audience

Primary customers include point‑of‑care clinicians and diagnostic labs, sports scientists and coaches seeking real‑time performance metrics, and clinical researchers requiring high‑frequency biomarker data.

Features

  • Graphene sensor technology delivering sub‑nanomolar detection limits for glucose, lactate, cortisol, H₂O₂, sodium and potassium
  • Ultra‑wide concentration range allowing accurate measurement across physiological levels
  • Real‑time data processing with instant analytics and feedback via integrated software
  • Non‑invasive, sweat‑based sampling suitable for continuous monitoring in clinical, sports and research settings
  • Compact, portable form factor designed for point‑of‑care use without specialized operators
This profile is AI-generated and may contain inaccuracies.