
Nguồn ngoài
Analytical Chemistry 2.0
Analytical chemistry spans nearly all areas of chemistry but involves the development of tools and methods to measure physical properties of substances and apply those techniques to the identification of their presence (qualitative analysis) and quantify the amount present (quantitative analysis) of species in a wide variety of settings.
- Tác giả
- David Harvey
- Nhà xuất bản
- DePauw University
- Nguồn
- LibreTexts
- Giấy phép
- CC BY-NC-SA
- Ngôn ngữ
- EN
- Danh mục
- Khoa học cơ bản
Mục lục· 141 mục
- 01: Front Matter
- 1.1: TitlePage
- 1.2: InfoPage
- 1.3: Table of Contents
- 02: Introduction to Analytical Chemistry
- 2.1: What is Analytical Chemistry?
- 2.2: The Analytical Perspective
- 2.3: Common Analytical Problems
- 2.4: Introduction to Analytical Chemistry (Exercises)
- 2.5: Introduction to Analytical Chemistry (Summary)
- 03: Basic Tools of Analytical Chemistry
- 3.1: Measurements in Analytical Chemistry
- 3.2: Concentration
- 3.3: Stoichiometric Calculations
- 3.4: Basic Equipment
- 3.5: Preparing Solutions
- 3.6: Spreadsheets and Computational Software
- 3.7: The Laboratory Notebook
- 3.8: Basic Tools of Analytical Chemistry (Exercises)
- 3.9: Basic Tools of Analytical Chemistry (Summary)
- 04: The Vocabulary of Analytical Chemistry
- 4.1: Analysis, Determination, and Measurement
- 4.2: Techniques, Methods, Procedures, and Protocols
- 4.3: Classifying Analytical Techniques
- 4.4: Selecting an Analytical Method
- 4.5: Developing the Procedure
- 4.6: Protocols
- 4.7: The Importance of Analytical Methodology
- 4.8: The Vocabulary of Analytical Chemistry (Exercises)
- 4.9: The Vocabulary of Analytical Chemistry (Summary)
- 05: Evaluating Analytical Data
- 5.01: Characterizing Measurements and Results
- 5.02: Characterizing Experimental Errors
- 5.03: Propagation of Uncertainty
- 5.04: The Distribution of Measurements and Results
- 5.05: Statistical Analysis of Data
- 5.06: Statistical Methods for Normal Distributions
- 5.07: Detection Limits
- 5.08: Using Excel and R to Analyze Data
- 5.09: Evaluating Analytical Data (Exercises)
- 5.10: Evaluating Analytical Data (Summary)
- 06: Standardizing Analytical Methods
- 6.1: Analytical Standards
- 6.2: Calibrating the Signal
- 6.3: Determining the Sensitivity
- 6.4: Linear Regression and Calibration Curves
- 6.5: Blank Corrections
- 6.6: Using Excel and R for a Regression Analysis
- 6.7: Standardizing Analytical Methods (Exercises)
- 6.8: Standardizing Analytical Methods (Summary)
- 07: Equilibrium Chemistry
- 7.01: Reversible Reactions and Chemical Equilibria
- 7.02: Thermodynamics and Equilibrium Chemistry
- 7.03: Manipulating Equilibrium Constants
- 7.04: Equilibrium Constants for Chemical Reactions
- 7.05: Le Châtelier’s Principle
- 7.06: Ladder Diagrams
- 7.07: Solving Equilibrium Problems
- 7.08: Buffer Solutions
- 7.09: Activity Effects
- 7.10: Using Excel and R to Solve Equilibrium Problems
- 7.11: Some Final Thoughts on Equilibrium Calculations
- 7.12: Equilibrium Chemistry (Exercises)
- 7.13: Equilibrium Chemistry (Summary)
- 08: Collecting and Preparing Samples
- 8.01: The Importance of Sampling
- 8.02: Designing a Sampling Plan
- 8.03: Implementing the Sampling Plan
- 8.04: Separating the Analyte from Interferents
- 8.05: General Theory of Separation Efficiency
- 8.06: Classifying Separation Techniques
- 8.07: Liquid–Liquid Extractions
- 8.08: Separation Versus Preconcentration
- 8.09: Collecting and Preparing Samples (Exercises)
- 8.10: Collecting and Preparing Samples (Summary)
- 09: Gravimetric Methods
- 9.1: Overview of Gravimetric Methods
- 9.2: Precipitation Gravimetry
- 9.3: Volatilization Gravimetry
- 9.4: Particulate Gravimetry
- 9.5: Gravimetric Methods (Exercises)
- 9.6: Gravimetric Methods (Summary)
- 10: Titrimetric Methods
- 10.1: Overview of Titrimetry
- 10.2: Acid–Base Titrations
- 10.3: Complexation Titrations
- 10.4: Redox Titrations
- 10.5: Precipitation Titrations
- 10.6: Titrimetric Methods (Exercises)
- 10.7: Titrimetric Methods (Summary)
- 11: Spectroscopic Methods
- 11.01: Overview of Spectroscopy
- 11.02: Spectroscopy Based on Absorption
- 11.03: UV
- Vis and IR Spectroscopy
- 11.04: Atomic Absorption Spectroscopy
- 11.05: Emission Spectroscopy
- 11.06: Photoluminescence Spectroscopy
- 11.07: Atomic Emission Spectroscopy
- 11.08: Spectroscopy Based on Scattering
- 11.09: Spectroscopic Methods (Exercises)
- 11.10: Spectroscopic Methods (Summary)
- 12: Electrochemical Methods
- 12.1: Overview of Electrochemistry
- 12.2: Potentiometric Methods
- 12.3: Coulometric Methods
- 12.4: Voltammetric Methods
- 12.5: Electrochemical Methods (Exercises)
- 12.6: Electrochemical Methods (Summary)
- 13: Chromatographic
- 13.1: Overview of Analytical Separations
- 13.2: General Theory of Column Chromatography
- 13.3: Optimizing Chromatographic Separations
- 13.4: Gas Chromatography
- 13.5: High-Performance Liquid Chromatography
- 13.6: Other Forms of Liquid Chromatography
- 13.7: Electrophoresis
- 13.8: Chromatographic and Electrophoretic Methods (Exercises)
- 13.9: Chromatographic and Electrophoretic Methods (Summary)
- 14: Kinetic Methods
- 14.1: Kinetic Methods Versus Equilibrium Methods
- 14.2: Chemical Kinetics
- 14.3: Radiochemistry
- 14.4: Flow Injection Analysis
- 14.5: Kinetic Methods (Exercises)
- 14.6: Kinetic Methods (Summary)
- 15: Developing a Standard Method
- 15.1: Optimizing the Experimental Procedure
- 15.2: Verifying the Method
- 15.3: Validating the Method as a Standard Method
- 15.4: Using Excel and R for an Analysis of Variance
- 15.5: Developing a Standard Method (Exercises)
- 15.6: Developing a Standard Method (Summary)
- 16: Quality Assurance
- 16.1: The Analytical Perspective—Revisited
- 16.2: Quality Control
- 16.3: Quality Assessment
- 16.4: Evaluating Quality Assurance Data
- 16.5: Quality Assurance (Exercises)
- 17: Additional Resources
- 18: Back Matter