Agilent Cary 1/3 4/5 Multi-Component Analysis Application Note

This document describes a quantitative analysis method for complex multi-component mixtures, focusing on the features and advantages of Agilent Technologies, Inc.'s Cary multi-component software.


Agilent Cary 1/3 4/5 Multi-Component Analysis Application Note - cover page
Brand
Agilent
Category
Other
Document type
Application Note
Language
English
Pages
6
File format
PDF
File size
404 KB
Published
11 June, 2012
Updated
29 September, 2023
Model
Cary 1
MD5 checksum
7AAB88F4A9CA6465CDB39A638F256ED5

About this manual

This document describes the quantitative analysis of complex multi-component mixtures using the Cary multi-component software. It details how the software can simultaneously measure up to 10 individual components in a mixture without the need for time-consuming sample preparation or separation.

The note presents three specific systems analyzed to demonstrate the software's accuracy: a Vitamin B group mixture (B1, B2, B6), an antihistamine mixture (pseudoephedrine, dextromethorphan, triprolidine), and a four-component pharmaceutical compound mixture. The document outlines the optimal instrument settings, such as Kalman interval and bin size, required for accurate results.

What's inside

  • Introduction
  • Multi-component systems
  • Equipment
  • Vitamin B group analysis
  • Antihistamines analysis
  • Pharmaceutical compounds
  • Discussion
  • Conclusion
  • References

Specifications

Maximum components measurableup to 10 individual components
Compatible instrumentsCary 1/3 4/5 spectrophotometer
Typical error rangeless than 1-2 %

Frequently asked questions

How many components can the software measure simultaneously?

The software allows up to 10 individual components in a mixture to be measured quantitatively.

Is sample separation required for this analysis?

No, individual components can be simultaneously measured without the need for separation and extraction.

What is the typical accuracy of the concentration calculations?

If conditions are met and parameters are optimized, sample concentrations can be calculated typically with less than 1-2 % error.

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