analytical-chemistry

name: analytical-chemistry description: Chemical analysis and quantification techniques license: MIT compatibility: opencode metadata: audience: chemists, researchers, analysts category: chemistry

What I do

• Identify and quantify chemical substances using instrumental and classical methods
• Perform chromatography, spectroscopy, and mass spectrometry analyses
• Validate analytical methods and ensure quality control compliance
• Interpret spectral data and chemical measurements
• Develop and optimize separation techniques
• Ensure laboratory safety and regulatory compliance

When to use me

• When analyzing chemical samples for composition and purity
• When developing or validating analytical methods
• When interpreting spectroscopic or chromatographic data
• When troubleshooting analytical instrumentation issues
• When ensuring compliance with analytical standards (ISO, ASTM, EPA)

Key Concepts

Common Analytical Techniques

Chromatography

• Gas Chromatography (GC): Volatile compound separation
• High-Performance Liquid Chromatography (HPLC): Non-volatile analysis
• Ion Chromatography: Ionic species detection

Spectroscopy

• UV-Vis Spectroscopy: Electronic transitions quantification
• Infrared (IR) Spectroscopy: Functional group identification
• Nuclear Magnetic Resonance (NMR): Molecular structure elucidation
• Mass Spectrometry (MS): Molecular weight and fragmentation analysis

Method Validation Parameters

# Example: Calculating method validation metrics
import numpy as np

def validate_method(known_concentrations, measured_values):
    """Validate analytical method performance."""
    recovery = (np.mean(measured_values) / np.mean(known_concentrations)) * 100
    rsd = (np.std(measured_values) / np.mean(measured_values)) * 100
    correlation = np.corrcoef(known_concentrations, measured_values)[0, 1]
    
    return {
        'accuracy': recovery,
        'precision': rsd,
        'linearity': correlation ** 2
    }

Quality Control

• Blank measurements: Background correction
• Standard additions: Matrix effect compensation
• Duplicate analyses: Precision monitoring
• Certified reference materials: Calibration verification