JOURNAL ARTICLE

A New JECFA Method for GC-MS Determination of Propylene Chlorohydrine Residues in Hydroxypropylated Starches.

  • Published In: Journal of AOAC International, 2023, v. 106, n. 5. P. 1220 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: van der Ark, Menko; Hopman, Johan; Mijland, Paul; Mulder, Wubbo; Asdarci, Fatma; O'Connell, Xavier; Medic, Jelena; Qian Wei; Brunt, Kommer 3 of 3

Abstract

This article focuses on the development and single-laboratory validation (SLV) of a new gas chromatography–mass spectrometry (GC–MS) method for determining total propylene chlorohydrin (PCH-t) residues in hydroxypropylated (HP) starches used in food. Propylene chlorohydrins (PCH-1 and PCH-2) are byproducts formed during starch modification with propylene oxide, with regulatory limits set by the Joint FAO/WHO Expert Committee on Food Additives (JECFA) at 1 mg/kg in dry starch. The new GC–MS method uses aqueous methanol extraction, a programmable temperature vaporization injector, and selected ion monitoring, achieving good linearity, precision (relative standard deviations of 3–5%), recovery (78–112%), and limits of quantification (0.2–0.3 mg/kg) well below regulatory limits. Compared to the outdated JECFA GC–FID method, the new method is more sustainable, less laborious, and increases analytical capacity by 4–5 times. Based on these results and a subsequent multi-laboratory trial, JECFA has decided to replace the old method with this new GC–MS procedure for PCH residue analysis in starches.

Additional Information

  • Source:Journal of AOAC International. 2023/09, Vol. 106, Issue 5, p1220
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2023
  • ISSN:1060-3271
  • DOI:10.1093/jaoacint/qsad042
  • Accession Number:171801886
  • Copyright Statement:Copyright of Journal of AOAC International is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.