The application of dispersive liquid–liquid microextraction in the analyses of the fatty acid profile in bovine milk in response to changes in body condition score

Andrew Quigley, Damian Connolly, Wayne Cummins

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Dispersive liquid–liquid microextraction (DLLME) was used prior to gas chromatography flame ionization detection (GC-FID) for the extraction of five fatty acids from milk taken from cows with different body condition scores. Optimum extraction conditions were: 300 μL of chloroform (extraction solvent), and 1 mL methanol (dispersive solvent). The procedure was optimised using Design of Experiments (DoE). The analytes were separated on a GC capillary column containing a polyethylene glycol stationary phase (15 m × 0.53 mm × 1.2 μm). Enrichment factors were in the range of 8–15 and limit of detection (LOD) was 0.04 μg/mL. Calibration graphs showed good linearity with coefficients of determination higher than 0.994% and relative standard deviations lower than 7%. This method provided a simple and rapid derivatisation and extraction method for the determination of fatty acids in bovine milk. It showed that there was a significant difference in the palmitic acid content of milk from cows that had an optimum body condition score (10.85 mg/mL) compared to cows that had a high body condition score (5.73 mg/mL).

Original languageEnglish
Pages (from-to)130-135
Number of pages6
JournalJournal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
Volume1073
DOIs
Publication statusPublished - 15 Jan 2018

Keywords

  • Body condition score
  • Dairy
  • Dispersive liquid–liquid microextraction
  • Fatty acid
  • Milk

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