Infrared & Raman Courses Produced by Coblentz Society Members or Organization Associated with the Society
Week-Long On-Site Course: Infrared & Raman Courses, Inc.
Bowdoin College, Brunswick, ME
Although everyone is still working on this, it may not happen in 2021.
Spectroscopy Courses Offered at Conferences
The courses below are offered at:
Practical Vibrational Spectroscopy – This course will provide an introduction to Raman, mid-infrared and near-infrared concentrating on why an absorption occurs, where an absorption occurs and the benefits and limitations of the techniques.
Spectral Searching – This course will provide an introduction to spectral searching. Among other topics it will cover how to do an efficient search, why the first “hit” may not be the right answer and how do you deal with a mixture or when the unknown is not in the database.
Problems with FT-IR Spectra and how to Avoid Them – Users of FT-IR spectrometers may have received little or no formal training in spectroscopy and therefore cannot distinguish between “good” and “bad” spectra. In this course, we will show many of the problems that are commonly encountered with FT-IR spectra measured by inexperienced (and often experienced!) users and show how to avoid them.
Introduction to Raman Spectroscopy and Imaging – You will learn the basics of applied Raman spectroscopy and imaging. Students will be taught the application of group theory to crystalline materials and how to apply those symmetry rules to perform “Raman Crystallography”. The instructor will teach Raman spectroscopy and imaging at a practical level and cover topics to allow the student to immediately apply the material in the workplace.
Process Analytical Technology: Out of the lab and into the Line – Process analytical technology (PAT) is a tool for product development, scale up and manufacturing of any chemical product. In this course, you will learn about the benefits of in-process monitoring, how to justify and plan the analysis implementation. We will discuss different PAT tools, how to choose them for your application and implementation. We will also discuss the benefits such as saving time and money, improving green scores and manufacturing proficiency. Applications from various industries will be used to explain concepts and provide examples of implementation.
Modern Portable Analytical Spectroscopy Portable spectrometers are used for many purposes, including quality control and process analyses in industrial environments, and for scene-assessment in law enforcement, emergency response and military applications. This hands-on course will cover the capabilities of modern portable spectrometers covering elemental spectroscopy (x-ray fluorescence and laser induced breakdown spectroscopy), molecular/optical (infrared and Raman), and mass spec/molecular (ion mobility and gas chromatography-mass spectroscopy). Advantages, limitations and applications of each method will be detailed. Attendees will be exposed to sampling and use of these systems during the hands-on exercises.
An Introduction to Quantitative Spectroscopic Analysis – This course is designed to provide practical information for the development of quantitative methods in spectroscopy. This introductory course is ideally suited for Scientists and Managers who want to expand their knowledge of developing and implementing spectroscopic methods for quantitative analysis of key ingredients or components in products. The course provides an overview of basic statistics, method development considerations, and common quantitative techniques, Additionally, the course provides practical considerations in designing methods, defining the problem, and validation requirements to ensure compliance with USP guidelines. Several applications and group discussions are included to illustrate key principals. Gas phase analysis will not be discussed.
Preprocessing, How to Do and Not to Do – The first things one learns when applying NIR spectroscopy and chemometrics to analytical problems is that you need to “preprocess the data”. If spectra were perfect and spectrometers produced identical spectra of identical samples and all reference data represented the analyte’s concentration in the spectra, then preprocessing would not be needed. Baseline offsets, particle size, heterogeneity and the vagaries of analytical procedures on different samples means it’s necessary to remove any interferences that do not belong to the analyte’s spectrum. The course will look at the various preprocessing techniques and what they mean to the spectra and the models.