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Method Development for Fast GPC/SEC

Video Method Development for Fast GPC/SEC Part 1

Method Development for Fast GPC/SEC

Part 1: Identifying Starting Parameters Running time - 00:07:51

Reviews GPC as a technique, and the starting parameters to begin developing a method: temperature, solvent, and column type.

Method development resources from Agilent will also be reviewed.

Video Method Development for Fast GPC/SEC Part 2

Method Development for Fast GPC/SEC

Part 2: Instruments for GPC/SEC Running time - 00:07:27

Covers the types of instruments used in GPC and SEC.

The basics workings of high temperature and room temperature GPC will be reviewed, as well as the contributions of individual components to the overall quality of the analysis.

Video Method Development for Fast GPC/SEC Part 3

Method Development for Fast GPC/SEC

Part 3: Choosing a GPC/SEC Detector Running time - 00:05:48

Briefly examines both the common and unique detectors used in GPC and SEC.

Examples are given to illustrate the value of each type of the detector in different situations.

Video Method Development for Fast GPC/SEC Part 4

Method Development for Fast GPC/SEC

Part 4: Choosing a GPC/SEC Column Running time - 00:11:50

Covers the step by step process of choosing a GPC column.

Different types of columns are reviewed, including benefits and tradeoffs.

Finally, examples give a walkthrough of the selection process, based on needs and limitations.

Video Method Development for Fast GPC/SEC Part 5

Method Development for Fast GPC/SEC

Part 5: Optimizing the Method Running time - 00:06:45

Assesses each step in the method, and ways to improve throughput and eliminate downtime.

A focus is placed best practices to eliminate error and minimize time spent troubleshooting.

video Method Development for Fast GPC/SEC Part 6

Method Development for Fast GPC/SEC

Part 6: Troubleshooting a GPC Method Running time - 00:10:23

Reviews the steps to identify an issue and quickly troubleshoot it.

Both common and uncommon problems are addressed, and solutions are provided.

The emphasis in this presentation is on early identification and best practices that prevent analysis issues from impacting data quality.