Virtual Event
March 8 - 12, 2021


An Introduction to Quantitative Spectroscopic Analysis (PART 1 of 2)

  • (Full Day Course - Part 1 & 2 are required together)
  • Course Number:SC5708A
Tuesday,March 09, 2021:8:30 AM -12:30 PM


Deborah Peru
DP Spectroscopy and Training, LLC


This course is designed to provide practical information for the development and implementation of quantitative methods of analysis using spectroscopy. The fundamentals, advantages and disadvantages of Mid Infrared, Near Infrared, Ultraviolet, Visible, and Fluorescence are discussed. The course includes a review of basic statistics, sampling considerations, and designing the calibration standard set. Additionally, the course provides practical considerations for defining the problem, designing methods, and validation to ensure compliance with USP guidelines. Various quantitative methods will be discussed that can be used in research and development, product/process optimization, quality assurance, clinical studies, process monitoring and control. Break-out session are included to reinforce learning of key principals and provides learners with opportunity to ask questions and have group discussions. Atomic Spectroscopy and gas phase spectroscopic analysis will not be discussed.

Register for this Short Course

Course Outline

The course provides a comprehensive view of how to develop quantitative methods and includes practical knowledge that can be apply immediately in the workplace.
Lesson 1: Introduction to Quantitative Spectroscopic Analysis
- Design a plan for developing a method
Lesson 2: Types of Measurement Error
- How to characterize and minimize uncertainty in the calibration model
Lesson 3: Statistics used in Spectroscopy
- Describe how statistics is used to characterize the dependent (Y) and independent (X) variables in the data set
Lesson 4: Designing the Method
- Select spectroscopy technique and sampling accessories based on technology fundamentals, performance requirements, and measurement goals
Lesson 5: Calibration Modeling
- Develop methods using curve fitting, peak area, peak ratios, colorimetry, linear regression, PCR, PLS & preprocessing
Lesson 6: Validation Guidelines & Agencies
- Utilize statistical tests to validate spectroscopy methods
Lesson 7: Applications

Additional Info

Course Sub-Categories (Up to 5):
Chemometrics,Data Analysis,Data Management,Food,Infrared Spectroscopy,Raman Spectroscopy,Sample Preparation,Spectroscopy,Statistics,Teaching Analytical Chemistry,Validation

Proposal Number:

Target Audience:
This course is ideally suited for laboratory scientists, process engineers, and managers supervising the development and use of spectroscopic instruments in R&D, quality assurance, manufacturing, or product efficacy testing. The course will enhance your creativity for designing and implementing spectroscopy methods.