Principles of Analytical Techniques (SBT 409)
PRINCIPLES OF ANALYTICAL TECHNIQUES (SBT 409)
Introduction
- The course is centered around Instrumental Methods of Analysis as presented by L.K. Gati.
Definition of Analysis
- Analysis is the process of identifying, separating, and quantifying the components of a sample to understand its nature and composition.
The Analytical Process
Overview
- The analytical process consists of multiple steps that are sequentially linked, forming a chain.
General Steps
- The general steps in the analytical process can be summarized as follows:
- Definition of Analytical Problem
- Selecting the Analytical Method
- Sampling
- Sample Preparation
- Perform Measurement
- Calculate Results and Report
The Analytical Process is Only as Strong as its Weakest Link
- Each component of the analytical process, including analysis, sampling, preparation, and reporting, must function optimally to yield reliable results.
Sample Analysis Steps
General Steps
- Sample analysis involves the following components:
- Sample Collecting and Storage
- Sample Preparation
- Analysis
Selecting the Analytical Method
Importance of Method Selection
- There is no single ‘best’ method in analytical chemistry; multiple methods are available for each analyte.
- Selecting the most appropriate method depends on multiple factors including:
- Accuracy
- Detection Limit / Sensitivity
- Speed of Analysis
- Legality
- Ease and Convenience
- Skill Required of Operator
- Cost and Availability of Equipment
- Per-sample Cost
Method Suitability
- No single method can satisfy all selection criteria. The analyst must prioritize factors based on the specific analytical problem at hand.
Importance of Sampling
Challenges in Sampling
- Sampling is often the most error-prone step in the analytical method.
- Improper sample selection can lead to significant errors in quantitative measurements.
- Sampling strategies contribute more to the overall precision of the analytical method than the instrument performance itself.
Composition of Real-Life Samples
- A real-life sample consists of a complex matrix comprising various components.
- Sample = Analyte + Matrix
Interference in Analytical Methods
Definition of Interference
- Interference occurs when a species other than the analyte affects the analytical method's response, leading to misleading results regarding the analyte's concentration or presence.
Specificity and Selectivity of Analytical Methods
Definitions
- Specificity refers to a method's ability to respond only to a single analyte, free from the influence of other substances.
- Selectivity applies when the method can respond to multiple different analytes in the presence of others.
- Few analytical methods are entirely free from interferences, hence specificity is often ideal but rarely achievable.
Types of Analytical Methods
Specific Method vs. Selective Method
- A Specific Method quantitatively measures the desired substance regardless of other substances present.
- A Selective Method shows a high degree of preference for the target substance when mixed with other components.
Goal of Analysis
Seeking Accuracy
- The ultimate goal in analysis is to obtain accurate results, which can be compromised when the analytical method is primarily selective rather than specific.
Enhancing Accuracy of Analytical Methods
Techniques to Improve Accuracy
- Accuracy in analytical methods can often be improved through the elimination of interferences. Several methods to achieve this include:
- Selective Precipitation
- Masking / Complexation
- Solvent Extraction
- Chromatography
Selective Precipitation
- Precipitation is a technique used to isolate and purify solution components by converting dissolved substances into a solid precipitate through the addition of precipitating agents. Various methods include co-precipitation and double decomposition.
Selective Precipitation
- Selective precipitation isolates a specific component through a targeted chemical reaction that forms a precipitate with only the desired component.
Masking and Complexation
Masking Agents
- Masking agents are reagents that react with potential interfering elements to convert them into non-interfering forms.
Definition of Masking
- Masking is used to render unwanted impurities unreactive in a solution via stable complex formations without physical detachment.
- Solvent extraction is a technique where two immiscible or partially miscible solvents are blended, allowing/dissolved chemicals to preferentially move into one of the liquid phases, typically involving a neutral species with one solvent being water.
Chromatography
- Chromatography is a widely adopted separation technique in both organic and inorganic analysis.
Sample Preparation
Definition and Importance
- Sample preparation is the process of converting a representative sample into a form suitable for analysis.
- Proper sample preparation ensures the composition remains unchanged, minimizes contamination, and enhances the accuracy of the results.
Challenges
- Sample preparation is often labor-intensive and has the potential to introduce errors. Ideally, samples would be directly introduced to the instrument, which is rarely practical.
Objectives
- The key objectives of sample preparation include:
- Conversion of the sample into a suitable analytical form.
- Elimination of interfering species.
- Pre-concentration of trace analytes.
General Steps in Sample Preparation
- Typical steps may include:
- Dissolution
- Decomposition / Digestion
- Filtration
- Extraction
- Centrifugation
- Distillation
- Chromatography
Specific Techniques for Solid Samples
- For instrumental techniques needing samples in liquid, solid samples must often be transitioned into a liquid phase via:
- Dissolution
- Extraction
- Decomposition
Sample Preparation for Liquid and Gaseous Samples
- Even liquid and gas samples require preparation; procedures like filtration and extraction are essential to maintain analyte integrity against contamination and physical changes.
Selection Criteria for Analytical Methods
Method Selection Factors
- The selection of an analytical method is guided by:
- Accuracy
- Detection Limit / Sensitivity
- Speed
- Legality
- Ease and Convenience
- Skill Required of Operator
- Cost and Availability of Equipment
Reliability and Practicability Criteria
- Reliability Criteria include: specificity, accuracy, precision, and sensitivity.
- Practically Criteria encompass speed, costs, technical requirements, dependability, and laboratory safety.
Conclusion on Selecting a Method
- Choosing a method necessitates balancing design criteria, with accuracy being paramount, especially in clinical and quality control labs where speed may be critical.