Agent skill

dls-particle-sizer

Dynamic Light Scattering skill for hydrodynamic size distribution and polydispersity analysis

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/dls-particle-sizer

Metadata

Additional technical details for this skill

phase
6
domain
science
category
microscopy-characterization
priority
high
specialization
nanotechnology
tools libraries
[
    "Malvern Zetasizer software",
    "ALV correlator",
    "CONTIN algorithm"
]

SKILL.md

DLS Particle Sizer

Purpose

The DLS Particle Sizer skill provides dynamic light scattering analysis for nanoparticle hydrodynamic size determination, enabling rapid, non-destructive measurement of size distributions and stability assessment.

Capabilities

  • Hydrodynamic diameter measurement
  • Polydispersity index (PDI) calculation
  • Size distribution analysis (intensity, volume, number)
  • Temperature-dependent measurements
  • Multi-angle DLS analysis
  • Particle concentration estimation

Usage Guidelines

DLS Measurement

  1. Sample Preparation

    • Dilute to appropriate concentration
    • Filter to remove dust
    • Equilibrate temperature
  2. Data Analysis

    • Use cumulants for monomodal samples
    • Apply CONTIN for multimodal
    • Report intensity-weighted Z-average
  3. Quality Metrics

    • PDI < 0.1: Monodisperse
    • PDI 0.1-0.3: Narrow distribution
    • PDI > 0.3: Broad distribution

Process Integration

  • Statistical Particle Size Distribution Analysis
  • Nanoparticle Synthesis Protocol Development
  • Nanoparticle Drug Delivery System Development

Input Schema

json
{
  "sample_id": "string",
  "solvent": "string",
  "temperature": "number (C)",
  "refractive_index": "number",
  "viscosity": "number (cP)"
}

Output Schema

json
{
  "z_average": "number (nm)",
  "pdi": "number",
  "distribution": {
    "intensity": {"peaks": [{"size": "number", "percent": "number"}]},
    "volume": {"peaks": [{"size": "number", "percent": "number"}]},
    "number": {"peaks": [{"size": "number", "percent": "number"}]}
  },
  "quality_metrics": {
    "intercept": "number",
    "baseline": "number"
  }
}

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