Shimadzu Training Courses: Chromatography & Mass Specrometry

Back by popular demand we are continuing our Excellence in Science learning by running an Autumn Programme of our FREE learning workshops

Shimadzu Scotland

Alba Innovation Centre, Alba Campus
Livingston, EH54 7GA

19th September - GC/GCMS

20th September - HPLC/UHPLC/LCMS

Shimadzu Centre of Excellence

Mill Court, Featherstone Road,
Milton Keynes, MK12 5RD

2nd October - GC/GCMS

3rd October - HPLC/UHPLC

4th October - LCMS

We are now FULLY BOOKED, however, you can still register to go to our reserve list. If a suitable space becomes available again, we will get in touch. 

https://www.shimadzu.co.uk/shimadzu-training-courses-registration

For any questions regarding the course please contact: Anna.Cooper@Shimadzu.co.uk

These days are great personal development, sharing and networking opportunities. With a focus on improving, refreshing and updating Chromatography and Mass Spectrometry knowledge.

Led by our highly experienced scientists, between them possessing over a century of experience - the participants benefit from lectures and analytical instrumentation sessions.

Designed to be informative, educational and non-vendor specific, QA, QC, Analysts, Technicians, Researchers, Academics, Post Doc’s & Students have all benefited from attending.

SPACES ARE LIMITED SO BOOK NOW TO AVOID DISAPPOINTMENTShimadzu UK reserve the right to refuse acceptance or entry into the workshop should this be necessary

Agendas

The registration for each day will be opened from 9am with the first seminar commencing at 9.30am. The courses will finnish at 4.30pm. Lunch will be provided to all participants. 

GC/GCMS course - Livingston and Milton Keynes

  • Welcome Registration & Refreshments
  • GC & GCMS Best Practice Sessions & Practical Workshops
    • GC Theory
    • Liquid Sampling (Split, Splitless, PTV, On-column & Large-volume injection)
    • Other Sampling Techniques (Headspace, SPME, Thermal Desorption & Pyrolysis)
    • Method Development (Columns, Liners, Temperatures, Flows, etc.)
    • GC Detectors
    • GCMS Theory
    • Data processing (Integration, Identification & Quantitation)
    • Troubleshooting
    • GC Maintenance
    • MS Maintenance
    • Automated Sample Preparation (Milton Keynes only)
  • Ask the Experts!
  • Summary of Key Learning Points and Farewell

LC/LCMS course - Livingston 

  • Welcome Registration & Refreshments
  • Participants Introductions and Workshop Objectives
  • Technique Best Practice Part One

> An HPLC – Separated: how the collective components of an HPLC work

> The Separation Process: deepening the understanding of your column

  • Practical Demonstration

> Speed: how to enhance performance through reducing run times and increasing throughput

> Selectivity: optimising separation parameters to achieve ultimate resolution

  • Ask the Experts! Troubleshooting – your questions answered
  • Technique Best Practice Part Two:

> Quantification: exploring the most appropriate methodology for your particular needs

> Software: keeping abreast of the current and future developing trends

  • Summary of Key Learning Points and Farewell

HPLC/UHPLC course - Milton Keynes

  • Welcome Registration & Refreshments
  • Participants Introductions and Workshop Objectives
  • Technique Best Practice Part One

> An HPLC – Separated: how the collective components of an HPLC work

> The Separation Process: deepening the understanding of your column

> LC detectors

> Recent Advances in Chromatography Including SFC

  • Practical Demonstration
  • Ask the Experts! Troubleshooting – your questions answered
  • Technique Best Practice Part Two – Interactive workshop:
  • Summary of Key Learning Points and Farewell

Introduction to LCMS - Milton Keynes

  • Welcome Registration & Refreshments
  • Participants Introductions and Workshop Objectives
  • Introducing LCMS

> Basic Terminology

> Considerations when moving to LCMS

> Ionisation methods

> Mass Analysers

  • Laboratory Sessions
    • LCMS Hardware & Maintenance
    • Data Modes for Qualitative and Quantitative Analysis
  • Data Options
    • Qualitative data acquisition and review
    • Quantitative Data – ensuring data quality
  • Open Discussion on Best Practice, with Q&A:
  • Summary and Farewell

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