One-Day Course:
Monday, November 13; 8:30am – 5:00pm
Deborah A. Peru, DP Spectroscopy and Training, LLC, Lebanon, NJ
COURSE DESCRIPTION
This course includes both classroom lessons and live demonstrations in using Near Infrared and Raman Instruments. Participants can observe, ask questions, measure samples, and learn how to develop quantitative methods. The course is based on industrial experience in developing methods for innovation, product & process understanding, problem solving, quality assurance testing, and process monitoring & control. Topics discussed include how to define the problem, types of sampling and measurement errors, wavelength selection strategies, spectral preprocessing, review of quantitative tools & algorithms, and a lifecycle approach for validation and implementation of the quantitative procedure. Lessons include real-world case study examples and easy exercises to emphasize key principles discussed. The information can be applied to the development of quantitative procedures using Ultraviolet, Visible, Near IR, Mid-IR, and Raman instruments.
WHO SHOULD ATTEND
This introductory course is ideally suited for scientists new to the field of quantitative spectroscopy and anyone who wants to expand their knowledge of developing and implementing spectroscopic methods for analysis of key ingredients and components in products. This course is intended for scientists, process engineers, and managers supervising the development and use of spectroscopic instruments in – R&D, quality, and manufacturing:R&D Managers, Scientists, and Engineers (all fields – pharma, chemical, forensics, food, environmental, Etc.)
– QA/QC personnel
– Process analytical technology (PAT) personnel
TOPICS
- Introduction to Quantitative Spectroscopic Analysis
a. What is quantitative spectroscopic analysis?
b. When and where is it used
c. Defining the problem - Types of Measurement Error
a. Random error and Its sources
b. Signal-to-Noise
c. Systematic error
d. Other sources - Statistics for Spectroscopists
a. Describing the independent (X block) variables
b. Describing the dependent (Y block) Variables
c. Analyzing residual plots
d. Introduction to chemometric methods - Designing the Method
a. Developing a calibration protocol
b. Calibration design strategies (including DOE)
c. Choosing the appropriate instrument “Fit for Purpose”. Fundamental review of spectroscopy techniques (Mid-IR, Near-IR, Raman, UV/Vis, fluorescence)
d. Project management tips - Types of Quantitative Methods
a. Variable extraction methods: Peak area, Peak ratio, MCR
b. Variable transformations (including colorimetry)
c. Fundamentals of CLS, MLR
d. Basics of Chemometrics (PCA, PCR, PLS)
e. Preprocessing techniques - Variable Selection Strategies
a. Benefits & types of variable selection strategies
b. Case study examples - Validation (USP/FDA Guidelines)
a. Accuracy & recovery
b. Linearity
c. Specificity
d. Precision (repeatability & Intermediate robustness)
e. Real-world implementation strategy - Wrap Up
a. Summary & final remarks
b. Final Q&A
ABOUT THE INSTRUCTORS
Deborah Peru (M.B.A., Nutritional Science, B.S., Chemistry B.A.) is the Owner and President of DP Spectroscopy & Training LLC. She has over 37 years in industrial R&D and process analytical technology (PAT) experience in the petrochemical, specialty chemical, consumer products, and pharmaceutical industries. Ms. Peru research focused in developing near infrared, mid-infrared, Raman, and SERS methods for laboratory and in-line measurements. Her PAT experience also includes use of laboratory reactors and in-situ particle size analyzers for optimizing products & processes for improved yield, stability and performance. Her experience includes developing both qualitative and quantitative models for quality assurance, problem solving, understanding ingredient interactions, manufacturing cost savings, and finished product testing. Ms. Peru also managed projects pertaining to development of light-based devices for clinical testing of consumer products. Ms. Peru is serving as the Secretary for both the Coblentz Society and the New York/New Jersey Regional Section of the Society for Applied Spectroscopy (SAS) and is the recipient of the 2019 SAS Distinguished Service Award.
