Agilent Application Note: Rapid Monitoring of Carbohydrates in Food with Capillary Electrophoresis

This Application Note presents a method for rapid determination of carbohydrates in food using capillary electrophoresis with indirect UV-detection. Non-derivatized carbohydrates can rapidly be determined using this method, which is simple and stable, and suitable for application in routine labs.


Agilent Application Note: Rapid Monitoring of Carbohydrates in Food with Capillary Electrophoresis - cover page
Brand
Agilent
Category
Other
Document type
Application Note
Language
English
Pages
2
File format
PDF
File size
110 KB
Published
12 June, 2012
Updated
30 September, 2023
MD5 checksum
E75B0E516A76AC748F4E63272EA2B6B0

About this manual

This document presents a method for the rapid monitoring of carbohydrates in processed foods, such as fruit juices and yogurt, using capillary electrophoresis (CE) with indirect UV-detection. The technique is highlighted for its simplicity, stability, and suitability for routine laboratory analysis, offering a viable alternative to high-performance liquid chromatography (HPLC) for complex sample matrices. The method allows for the determination of non-derivatized carbohydrates, which is important for regulatory compliance and consumer protection regarding additives like sweeteners and preservatives.

What's inside

  • Abstract
  • Experimental
  • Equipment
  • Results and discussion
  • Chromatographic conditions

Specifications

Detection limits7-15 ppm
Capillary length (total)80.5 cm
Capillary effective length72 cm
Capillary internal diameter50 pm
Voltage-25 kV
Temperature15°C
Detection signal350/20 nm

Frequently asked questions

What equipment is used for the carbohydrate analysis?

The analysis uses the Agilent Capillary Electrophoresis system equipped with DAD detection and Agilent ChemStation software.

What is the linear range of the standard assay?

The standard assay was linear over the range 50-10 000 ppm with r² > 0.999.

What are the repeatability results for migration times and peak areas?

Repeatability was < 0.16 % RSD for migration times and <2.3 % RSD for peak areas (n = 6).

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