analytical-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 ```python # 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