Trace and Ultra-trace Analysis of Metals using Atomic Absorption Spectrometry
Offered By: Indian Institute of Science Bangalore via Swayam
Course Description
Overview
Introduction to pollution control monitoring, Introduction to Atomic Absorption Spectroscopy, Theoretical Principals of Atomic Absorption and emission phenomenon, Instrumentation, Optical benchmarking, flame and flame emission, absorption and flameless ETAAS, hydride generation, Cold vapor mercury analysis, Practice of Spectrophotometry, Applications of Absorption Spectrometry to pollution monitoring, Ambient Air Monitoring, Industrial Effluents and Metal Ions, Continuous Monitoring and Bio Chemical Analysis.This course is useful for the determination of metals as ions in µg, ng, pg levels in aqueous and nonaqueous solutions. It has applicability to air pollution, water and solid waste matrices. A emphasis is laid on fundamentals of atomic structure, spectroscopy, instrumentation, method development and industrial applications. The course will be useful for chemists, chemical engineers, metallurgists, biotechnologists and NGOs.INTENDED AUDIENCE: Chemists and Chemical Engineers, Environmental Engineers Environmental Scientists, Civil Engineers, Pollution Control Administrators.PREREQUISITES: 10+2+3 years of BE/BSc Basic knowledge of differential calculus and integration
Syllabus
Week 1 : Introduction to pollution control monitoring and Introduction to atomic structure
Week 2 : Interaction of electromagnetic radiation with fundamental particles
Week 3 : Instrumentation, for flame, flameless and graphite furnace AAS
Week 4 : Mechanism of Atomization
Week 5 : Design of atomizers, flame, graphite , hydride generation and Instrumentation of AAS & AES - electronics and optics
Week 6 : Techniques of flame AAS, Interferences in flame and non flame AAS
Week 7 : Interferences in Hydride generation AAS and cold vapor mercury, Applications of AAS to individual elements.
Week 8 : Applications of AAS to individual elements continued, pollution monitoring and environmental sampling and conclusion.
Taught by
Prof. J. R. Mudakavi
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