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Non-destructive egg breed separation using advanced VOC analytical techniques HSSE-GC-MS, PTR-TOF-MS, and SIFT-MS: Assessment of performance and systems' complementarity.
Corion, Matthias; Portillo-Estrada, Miguel; Santos, Simão; Lammertyn, Jeroen; De Ketelaere, Bart; Hertog, Maarten.
Afiliação
  • Corion M; KU Leuven, BIOSYST-MeBioS Biosensors Group, Department of Biosystems, Leuven, Belgium.
  • Portillo-Estrada M; University of Antwerp, Research Group Pleco, Department of Biology, Wilrijk, Belgium.
  • Santos S; KU Leuven, BIOSYST-MeBioS Biosensors Group, Department of Biosystems, Leuven, Belgium.
  • Lammertyn J; KU Leuven, BIOSYST-MeBioS Biosensors Group, Department of Biosystems, Leuven, Belgium.
  • De Ketelaere B; KU Leuven, BIOSYST-MeBioS Biostatistics Group, Department of Biosystems, Leuven, Belgium.
  • Hertog M; KU Leuven, BIOSYST-MeBioS Postharvest Group, Department of Biosystems, Leuven, Belgium. Electronic address: maarten.hertog@kuleuven.be.
Food Res Int ; 176: 113802, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38163682
ABSTRACT
Over the past decade, advanced analytical techniques have been utilized to examine volatile organic compounds (VOCs) in eggs. These VOCs offer valuable insights into factors such as freshness, fertility, the presence of cracks, embryo sex, and breed. In our study, we assessed three mass spectrometry-based systems (headspace sorptive extraction gas chromatography-mass spectrometry; HSSE-GC-MS, proton transfer reaction time-of-flight-mass spectrometry; PTR-TOF-MS; and selected ion flow tube mass spectrometry; SIFT-MS) to analyze and identify VOCs present in intact hatching eggs from three distinct breeds (Dekalb white layer, Shaver brown layer, and Ross 308 broiler). The eggs were sampled on incubation days 2 and 8, to identify VOCs that distinguish breeds irrespective of incubation day. VOC measurements were conducted on 15 eggs per breed by placing them together with PDMS-coated stir bars inside inert Teflon® air sampling bags. After an accumulation period of 2 h, the headspace was analyzed using PTR-TOF-MS and SIFT-MS, while the VOCs adsorbed onto the stir bars were analyzed using GC-MS for additional compound identification. Partial least squares discriminant analysis (PLS-DA) models were constructed for breed differentiation, and variable selection was performed. As a result, 111 VOCs were identified using HSSE-GC-MS, with alcohols and esters being the most abundant. The PLS-DA models demonstrated the efficacy of breed discrimination, with the HSSE-GC-MS and the PTR-TOF-MS exhibiting the highest balanced accuracy of 95.5 % using a reduced set of 11 VOCs and 5 product ions, respectively. The SIFT-MS model had a balanced accuracy of 92.8 % with a reduced set of 11 product ions. Furthermore, complementarity was observed between HSSE-GC-MS, which primarily selected higher molecular weight VOCs, and PTR-TOF-MS and SIFT-MS. A higher correlation was found for compound abundances between the HSSE-GC-MS and the PTR-TOF-MS relative to the SIFT-MS, indicating that the PTR-TOF-MS was better suited to quantify specific compounds identified by the HSSE-GC-MS. Finally, the findings support the presence of VOCs originating from both synthetic and natural sources, highlighting the ability of the VOC analysis systems to non-destructively perform quality control and reveal differences in management practices or biological information encoded in eggs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Orgânicos Voláteis Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Food Res Int Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Orgânicos Voláteis Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Food Res Int Ano de publicação: 2024 Tipo de documento: Article