Comparison of Four Extraction Techniques for the Evaluation of Volatile Compounds in Spray-Dried New Zealand Sheep Milk.


Journal

Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009

Informations de publication

Date de publication:
18 May 2019
Historique:
received: 17 04 2019
revised: 14 05 2019
accepted: 17 05 2019
entrez: 22 5 2019
pubmed: 22 5 2019
medline: 15 11 2019
Statut: epublish

Résumé

Recent growth and diversification of sheep milk products means more sophisticated methods are required to ensure their flavour quality. The objective of this study was to compare four extraction techniques for the analysis of volatile compounds in sheep milk by gas chromatography-mass spectrometry (GC-MS). Solvent Assisted Flavour Evaporation (SAFE), Solid Phase Microextraction (SPME), Headspace Sorptive Extraction (HSSE) and Stir Bar Sorptive Extraction (SBSE) were evaluated for their sensitivity, selectivity, reproducibility, and overall efficiency. A total of 48 volatile compounds from nine compound classes were identified in the spray-dried sheep milk. Alcohols, aldehydes, alkanes, carboxylic acids, ketones, lactones, sulphur compounds, nitrogen compounds, and terpenes were all present, but the differences between the methods were most apparent for lactones. SBSE extracted eight lactones, SAFE extracted four lactones and HSSE and SPME only detected trace levels of two lactones. Six of the lactones-δ-hexa-lactone, δ-octalactone, γ-decalactone, γ-dodecalactone, δ-tetradecalactone, and δ-hexadeca-lactone-were identified for the first time in spray-dried sheep milk. The present work demonstrated that SBSE is an effective tool for the extraction and analysis of volatiles, especially lactones, in sheep milk and dairy products in general. A discussion of the benefits and limitations of each method is included.

Identifiants

pubmed: 31109044
pii: molecules24101917
doi: 10.3390/molecules24101917
pmc: PMC6571582
pii:
doi:

Substances chimiques

Solvents 0
Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

J Agric Food Chem. 1999 Feb;47(2):648-54
pubmed: 10563947
J Agric Food Chem. 2000 Aug;48(8):3470-5
pubmed: 10956135
J Agric Food Chem. 2001 Jun;49(6):2948-53
pubmed: 11409991
J Agric Food Chem. 2001 Oct;49(10):4825-32
pubmed: 11600029
J Agric Food Chem. 2002 Jan 16;50(2):305-12
pubmed: 11782199
J Dairy Res. 2002 Nov;69(4):579-93
pubmed: 12463695
J Chromatogr. 1963 Aug;11:463-71
pubmed: 14062605
J Agric Food Chem. 2005 Jan 26;53(2):398-402
pubmed: 15656679
J Dairy Sci. 2005 Nov;88(11):3764-72
pubmed: 16230682
J Dairy Sci. 2009 Jun;92(6):2409-22
pubmed: 19447973
J Food Sci. 2009 Sep;74(7):S334-43
pubmed: 19895500
Nat Biotechnol. 2012 Oct;30(10):918-20
pubmed: 23051804
J Sci Food Agric. 2014 Jul;94(9):1701-5
pubmed: 24549967
Food Chem. 2015 Jul 15;179:94-102
pubmed: 25722143
Food Chem. 2018 Sep 15;260:327-335
pubmed: 29699676
J Dairy Sci. 1993 Mar;76(3):677-90
pubmed: 8463483
J Dairy Sci. 1996 Aug;79(8):1322-31
pubmed: 8880455
J Chromatogr Sci. 1999 Jan;37(1):17-23
pubmed: 9987853

Auteurs

Ryan High (R)

Department of Food Science, University of Otago, PO Box 56, Dunedin 9054, New Zealand. ryan.high@postgrad.otago.ac.nz.

Phil Bremer (P)

Department of Food Science, University of Otago, PO Box 56, Dunedin 9054, New Zealand. phil.bremer@otago.ac.nz.

Biniam Kebede (B)

Department of Food Science, University of Otago, PO Box 56, Dunedin 9054, New Zealand. biniam.kebede@otago.ac.nz.

Graham T Eyres (GT)

Department of Food Science, University of Otago, PO Box 56, Dunedin 9054, New Zealand. graham.eyres@otago.ac.nz.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH