Agilent 5973N MSD Analysis of Monochloropropanediol Application Note

This document introduces the method for the detection of 3-chloro-1,2-propanediol (3-MCPD) in hydrolyzed vegetable protein.


Agilent 5973N MSD Analysis of Monochloropropanediol Application Note - cover page
Brand
Agilent
Category
Other
Document type
Application Note
Language
English
Pages
4
File format
PDF
File size
118 KB
Published
12 June, 2012
Updated
30 September, 2023
Model
5973N
MD5 checksum
93F1120730393BD3C3AB2C2186521149

About this manual

This document examines gas chromatography with mass spectrometric detection methods for identifying 3-chloro-1,2-propanediol (3-MCPD), a suspected carcinogen found in hydrolyzed vegetable protein. The text details the chemical formation of 3-MCPD during acid hydrolysis and the regulatory context surrounding its detection limits.

The note specifically evaluates two ionization techniques using the Agilent 5973N MSD: Electron Impact (EI) and Electron Capture Negative Ionization (ECNI). It compares their sensitivity and selectivity, providing specific m/z values for fragment ions relevant to 3-MCPD detection in both scan and selected ion monitoring modes.

What's inside

  • Introduction
  • Experimental
  • Results and Discussion
  • Electron Impact Ionization
  • Electron Capture Negative Ionization
  • References

Specifications

Detection Limit (Scan Mode, EI)few picograms
Detection Limit (SIM Mode, EI)subpicogram levels
Derivatization Time30 minutes
ECNI Source Temperature150 °C

Frequently asked questions

Which ionization mode is better for actual food samples?

Electron capture negative ionization (ECNI) is more selective and better suited for actual samples due to greater selectivity and suppression of chemical noise.

What m/z fragments are used for 3-MCPD detection in EI mode?

The ions at 453, 289, 275, and 253 m/z are used because they contain the 3-MCPD structure, unlike the base peak at 169 m/z.

What are the candidate ions for 3-MCPD detection in ECNI mode?

The 502, 482, and 446 m/z ions are good candidates for detection and quantitation in ECNI mode.

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