Analytical Chemistry (CAN)
Section Information
Analytical Chemistry focuses on the development and application of methods to identify, separate, and quantify chemical substances. The field supports research and industry by providing accurate measurement techniques for chemical composition, structure, and properties across environmental, biological, pharmaceutical, and industrial systems.
Current research includes advanced spectroscopy, chromatography, electrochemical analysis, mass spectrometry, sensor development, and microanalytical techniques. Innovations in instrumentation, nanomaterials, automation, and data processing are improving sensitivity, selectivity, and real-time monitoring capabilities.
This section publishes method development studies, instrument design research, validation analyses, applied measurement studies, and review articles related to qualitative and quantitative chemical analysis.
Scope
Spectroscopic Analysis
- UV–Vis, infrared, and Raman spectroscopy
- Nuclear magnetic resonance spectroscopy
- Atomic absorption and emission spectroscopy
- Fluorescence and luminescence techniques
Chromatographic and Separation Techniques
- Gas and liquid chromatography
- High-performance liquid chromatography
- Capillary electrophoresis
- Sample preparation and extraction methods
Mass Spectrometry
- Mass analyzers and ionization methods
- Tandem mass spectrometry
- Proteomic and metabolomic analysis
- Quantitative and qualitative mass analysis
Electroanalytical Chemistry
- Voltammetry and amperometry
- Potentiometric sensors and ion-selective electrodes
- Electrochemical biosensors
- Corrosion and surface analysis
Sensor and Nanotechnology Applications
- Chemical and biological sensor development
- Nanoscale materials for detection
- Lab-on-a-chip systems
- Real-time monitoring technologies
Environmental and Industrial Analysis
- Water, air, and soil quality assessment
- Food and pharmaceutical analysis
- Industrial process monitoring
- Trace element and contaminant detection
Data Processing and Chemometrics
- Multivariate data analysis
- Calibration and validation methods
- Signal processing and noise reduction
- Statistical quality control in analysis
Editorial Board
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Papers Published
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