nanosensor-calibration-manager

name	nanosensor-calibration-manager
description	Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
allowed-tools	["Read","Write","Glob","Grep","Bash"]
metadata	{"specialization":"nanotechnology","domain":"science","category":"applications","priority":"high","phase":6,"tools-libraries":["Sensor calibration software","Data analysis tools"]}
graph	{"domains":["domain:nanotechnology"],"skillAreas":["skill-area:mathematical-reasoning","skill-area:physics-simulation","skill-area:data-analysis"],"workflows":["workflow:experiment-design"],"roles":["role:research-engineer"]}

Nanosensor Calibration Manager

Purpose

The Nanosensor Calibration Manager skill provides comprehensive characterization of nanomaterial-based sensors, enabling systematic calibration, sensitivity optimization, and selectivity validation for analytical applications.

Capabilities

• Calibration curve generation
• Limit of detection (LOD) calculation
• Sensitivity and dynamic range analysis
• Selectivity and interference testing
• Response time characterization
• Long-term stability assessment

Usage Guidelines

Sensor Calibration

1. Calibration Curve

   • Prepare standard solutions
   • Measure sensor response
   • Fit calibration model

2. Performance Metrics

   • Calculate LOD (3 sigma method)
   • Determine linear range
   • Assess sensitivity (slope)

3. Selectivity Testing

   • Test interferents
   • Calculate selectivity coefficients
   • Validate in complex matrices

Process Integration

• Nanosensor Development and Validation Pipeline

Input Schema

{
  "sensor_id": "string",
  "analyte": "string",
  "concentration_range": {"min": "number", "max": "number", "unit": "string"},
  "interferents": ["string"],
  "matrix": "buffer|serum|environmental"
}

Output Schema

{
  "calibration": {
    "equation": "string",
    "r_squared": "number",
    "linear_range": {"min": "number", "max": "number"}
  },
  "performance": {
    "lod": "number",
    "loq": "number",
    "sensitivity": "number",
    "response_time": "number (seconds)"
  },
  "selectivity": [{
    "interferent": "string",
    "selectivity_coefficient": "number"
  }]