Obtaining and Preparing Samples for Analysis

Importance of Sampling in Chemical Analysis
  • Sampling is crucial in chemical analysis as it involves using a small fraction of a larger sample.
  • Proper collection and subdivision of samples are vital to ensure representativeness and accuracy.
Key Objectives in Sampling and Preparation
  • Familiarization with common sampling terms and methods.
  • Understanding different types of samples and how to obtain and prepare them.
Basic Steps for Analysis
  • Technique Selection: Identify the analytical methods to be employed.
  • Sample Collection: Collect and prepare samples effectively.
  • Method Application: Properly apply analytical methods.
  • Data Analysis & Reporting: Analyze results systematically and accurately.
Types of Analytical Samples & Methods
  • Quantitative Methods:
    • Gravimetric methods: Based on weights of sample constituents.
    • Volumetric methods: Based on volume measurements.
    • Instrumental methods: Utilizing instruments for analysis.
  • Sample handling varies significantly between small (micro) and large (macro) samples.
Understanding Constituents
  • Differentiate between:
    • Major constituents: 1-100% by mass.
    • Minor constituents: 0.01-1% by mass.
    • Trace constituents: 100 ppm to 1 ppb.
    • Ultratrace constituents: Less than 1 ppb.
The Challenge of Real Samples
  • Real samples can have complex matrices that interfere with analysis.
  • Matrix Effects: Interferences caused by components similar to the analyte from the sample itself or preparation reagents.
Sampling Process
  • Sampling Definition: Obtaining a representative fraction from material (e.g., water from a polluted lake).
  • Gross Sample: Collection of sampling units/increments.
  • Laboratory Sample: Creation of representative samples from the gross sample.
Pharmaceutical Sample Types
  • Liquid Samples: Analyzed for drug metabolism/bioavailability.
  • Solid Samples: Require specific sampling techniques due to variability in particle size and homogeneity.
  • Examples of Sample Types:
    • Plasma: Metabolism or bioavailability analysis.
    • Tablets/Capsules: Solid mixtures requiring careful sampling to ensure uniformity.
Preparation Techniques for Samples
  • Solid Samples:
    • Sample size reduction (grinding) enhances homogeneity.
    • Different fractions can be combined for representative analysis.
  • Liquid Samples:
    • Shake heterogeneous samples; collect aliquots from stationary liquid at different depths for representation.
  • Gases:
    • Collected in evacuated bags.
Steps in Sample Preparation
  1. Preliminary Treatment: Remove undesired materials through steps like filtration, centrifugation, or extraction.
  2. Dissolving Active Ingredients: Using appropriate solvents.
  3. Adjusting Analytical Conditions: Control pH, temperature, and other factors.
Primary Concerns in Sample Preparation
  • Range: Ensure concentrations are within the instrument’s working range.
  • Selectivity: Avoid interference from sample matrix components.
  • Recovery: A 100% recovery is optimal; less may be acceptable for biological analyses.
  • Stability: Analyze samples while ensuring stability of analytes until analysis.
Prevention of Segregation in Samples
  • Techniques to prevent component segregation include thorough mixing, grinding, and utilizing solvents properly.
Fundamental Theories of Sample Preparation
  • Physicochemical Interactions: Ionic, dipole-dipole, hydrogen bonding, and hydrophobic interactions must all be considered during sample preparation.
  • Solubility: Ensuring the sample dissolves effectively, influenced by pH and temperature adjustments.
  • Phase Equilibrium: Understanding partition coefficients can help optimize extraction methods.
Specific Sample Preparation Techniques
  • Liquid-Solid Extraction: Grinding the solid matrix and using solvents to extract desired compounds, followed by filtration.
  • Soxhlet Extraction: An effective method for extracting compounds from solids using a continuous flow of solvent, though it has limitations related to temperature and handling multiple samples.