Know How

How to Choose the Right Titration Electrodes for Pharmaceuticals

Know How

3 Keys to Selecting the Right Electrodes for Pharmaceutical Applications

This poster helps you to select the right electrode for your pharmaceutical application when switching from manual to automated titration.
This poster helps you to select the right electrode for your pharmaceutical application when switching from manual to automated titration.

Numerous pharmacopeia monographs related to titration refer to manual methods. Changing from manual to automated titration can offer proven advantages such as greater accuracy and throughput.

In the automated titration method, an electrode is used to indicate endpoint or equivalent point rather than a traditional visual indicator. METTLER TOLEDO offers durable, high-performance electrodes that fit numerous pharmaceutical applications. The poster summarizes the three relevant key elements when selecting an electrode:

  • Titration type
  • Sample matrix/titrants
  • Indicators

It also provides a table that helps you find the suitable METTLER TOLEDO electrode for your pharmaceutical applications.

Find out which titration electrode you need. Download the free poster about selecting the right electrode for your pharmaceutical application when switching from manual to automated titration.

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How Is Titration Used in Pharmaceutical Applications?

Titration has long been one of the standard analytical methods used in the pharmaceutical industry. It is mostly utilized for quality control as well as for product development. Most commonly, it is applied in content analysis by redox titrations, purity analysis of pharmaceutically active substances (API) and water content determination for activity and storage lifetime of a pharmaceutical product.

 

Why Automated Titration?

A manual titration of a series of samples is time consuming as the user must repeatedly perform each individual operation and the less accurate it is depends on operator subjectivity.

Automated titration provides a variety of advantages. It is not only eliminates errors of transcription and wrong calculation, but also provides better reproducibility, and reduces costs per analysis with an optimized workflow.