Technique
Learn essential spectroscopy techniques with expert-led training on infrared spectral interpretation, UV-Visible spectroscopy, ICP-MS, ICP-OES, and atomic absorption spectroscopy. Master IR spectral analysis to identify molecular structures. Explore UV-Vis spectroscopy for concentration measurements and electronic transitions. Understand the fundamentals of ICP-MS and ICP-OES for trace element detection and atomic absorption spectroscopy for metal analysis. Gain insights into instrument setup, sample preparation, and data interpretation. Ideal for professionals in pharmaceuticals, environmental testing, food safety, and materials science. Start learning today to enhance your spectroscopy expertise and achieve accurate analytical results!
Infrared Spectral Interpretation
This module will introduce general infrared interpretation concepts to help you with structural elucidation.
UV-Visible Spectroscopy
This module covers the fundamental scientific principles behind UV-visible spectroscopy, the principles of the instrumentation, and practical tips for optimizing the instrument parameters.
Fundamentals of Atomic Absorption Spectroscopy
This webcast will present the fundamental theory of AAS, and will provide a good overview of the technique and common instrument designs. Advanced topics like background correction techniques and selected applications will also be explored.
Fundamentals of ICP-OES
This webcast will present the fundamental theory and typical instrumentation used for ICP-OES, and provides a good overview of the technique. General instrument setup, plasma formation, and sample introduction will be discussed as well as the process of light separation and quantification.
Fundamentals of ICP-MS
This webcast will provide you with the fundamental theory and knowledge of the instrumentation which will allow you to implement ICP-MS analyses in your laboratory. We will discuss the general instrument setup, how the plasma is formed, and how samples are introduced into the system, as well as looking at some basics of data interpretation.