Abstract
Over the past few decades, instrumental analysis has come a long way in terms of sensitivity, efficiency, automation, and the use of sophisticated software for instrument control and data acquisition and processing. However, the full potential of such sophistication can only be realized with the user’s understanding of the fundamentals of method optimization, statistical concepts, calibration strategies and data processing, to tailor them to specific analytical needs without blindly accepting the output data provided by the instrument.
The objective of this course is to provide the necessary knowledge to strategically exploit the full potential of such capabilities and commonly available spreadsheet software. Topics to be covered include Analytical Statistics, Propagation of Errors, Signal Noise, Uncertainty and Dynamic Range, Linear and Non-linear Calibration, Weighted versus Un-Weighted Regression, Optimum Selection of Calibration Range and Standard Intervals, Gravimetric versus Volumetric Standards and their Preparation, Matrix effects, Signal Drift, Standard Addition, Internal Standards, Drift Correction, Matrix Matching, Selection from multiple responses, Use and Misuse of Dynamic Range, Evaluation and Visualization of Calibrations and Data from Large Data Sets of Multiple Analytes using EXCEL, etc. Although the demonstration data sets will be primarily selected from ICPES/MS and Chromatographic measurements, the concepts discussed will be applicable to any analytical technique, and scientific measurements in general to benefit a broader audience.
Please note that the language of instruction is English only.
For further inquiries: ndesilva@uottawa.ca
Learning objectives
After this course, participants will be familiar with:
Statistical concepts and errors relevant to analytical measurements and calibration.
Pros and cons of different calibration strategies.
Optimum selection of calibration type, standards, intervals
Practical strategies for efficient preparation of calibration standards.
Efficient use of spreadsheets for post-processing of data, refining, evaluation, and validation.
Critical thinking in analytical method development and data processing.
Targeted Audience (Internal and External)
Laboratory personnel
Graduate/Hon. Students**
Scientific Researchers/Technicians (in academia, industry and government)
**Discounted fee ($400 off regular price) available for students - please email us at smohanty@uottawa.ca with your student number and supervisor's name to receive the code for use during checkout!
Information Source: University of Ottawa - Geochemistry Laboratory | eventbrite

Ottawa

Canada

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