Advanced Separation Science

Overview

STAFF

NAME CONTRIBUTION
Prof. De Lorenzi (Pavia) 3 Lectures
Dr P Manesiotis
p.manesiotis@qub.ac.uk 9 Lectures / 4 seminars

Summary of Lecture Content:
Summary of Lecture Content:
 Lecture 1: Introduction to separations and chromatography
 Lecture 2: Liquid Chromatography 1
 Lecture 3: Liquid Chromatography 2
 Lecture 4: Liquid Chromatography 3
 Lecture 5: Gas Chromatography
 Lecture 6: TLC/IC/FPLC
 Lecture 7: Self-Study: Method development and validation
 Lecture 8: Size Exclusion Chromatography
 Lecture 9: Capillary Electrophoresis 1
 Lecture 10: Capillary Electrophoresis 2
 Lecture 11: Sample preparation
 Lecture 12: Hyphenated analytical techniques

Summary of Practical Content:
 Workshop 1 & Practical 1: HPLC instrumentation and familiarisation with procedures and software.
 Workshop 2 & Practical 2: HPLC method development.
 Workshop 3 & Practical 3: HPLC method validation and assay of pharmaceutical mixture.
 Workshop 4 & Practical 4: Gas chromatography.

Learning Objectives

At the end of the module the students are expected to:
• Perform enhanced laboratory and instrumentation skills related to modern separation techniques.
• Apply the theoretical background of separation techniques to the analysis of pharmaceuticals, biopharmaceuticals and related products.
• Apply basic and advanced procedures used in the chromatographic analysis of pharmaceuticals, biopharmaceuticals and related products.
• Possess practical skills associated with analytical instrumentation and techniques including HPLC, GC, IC, TLC and GPC.
• Read, understand and assimilate new information and subsume acquired knowledge into a concise format.
• Reflect on experimental outcomes and use this in relation to overcoming analytical method development orientated problems.
• Demonstrate problem solving skills.
• Perform advanced mathematical and statistical manipulation of data.
• Demonstrate effective written and oral communication skills, including preparation and presentation of technical reports based on experimental results.
• Be able to working in a team, through participation in group projects.
• Demonstrate critical thinking through the validation of information (personal and literature data) and the application of theoretical knowledge to practical method development and problem solving.

Skills

• Ability to obtain and record relevant analytical data.
• Ability to perform data handling, interpretation of results and formulating conclusions.
• Ability to produce written reports utilising IT skills.

Assessment

Assessment:
Examination 70 % (3 hours)
Coursework 30 %

Course Requirements:
Coursework submission 100 %
Laboratory Class attendance 100 %
Examination theory Veto 50 %

Both the exam and total coursework elements must be passed at 50%.