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采用先进 VOC 分析技术 HSSE-GC-MS、PTR-TOF-MS 和 SIFT-MS 进行无损鸡蛋品种分离:性能评估和系统互补性研究。

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.

机构信息

KU Leuven, BIOSYST-MeBioS Biosensors Group, Department of Biosystems, Leuven, Belgium.

University of Antwerp, Research Group Pleco, Department of Biology, Wilrijk, Belgium.

出版信息

Food Res Int. 2024 Jan;176:113802. doi: 10.1016/j.foodres.2023.113802. Epub 2023 Dec 4.

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.

摘要

在过去的十年中,先进的分析技术已被用于研究鸡蛋中的挥发性有机化合物(VOCs)。这些 VOCs 为评估鸡蛋的新鲜度、受精能力、裂缝存在、胚胎性别和品种等因素提供了有价值的信息。在我们的研究中,我们评估了三种基于质谱的系统(顶空吸附萃取气相色谱-质谱联用;HSSE-GC-MS、质子转移反应飞行时间质谱联用;PTR-TOF-MS 和选择离子流管质谱联用;SIFT-MS)来分析和鉴定来自三个不同品种(Dekalb 白蛋鸡、Shaver 褐蛋鸡和 Ross 308 肉鸡)的完整孵化蛋中的 VOCs。这些鸡蛋在孵化第 2 天和第 8 天进行采样,以鉴定出不受孵化天数影响的品种区分 VOCs。通过将 PDMS 涂覆的搅拌棒与惰性 Teflon®空气采样袋一起放置在 15 个每个品种的鸡蛋中,对每个品种的 15 个鸡蛋进行 VOC 测量。在 2 小时的积累期后,使用 PTR-TOF-MS 和 SIFT-MS 分析顶空,并用 GC-MS 分析吸附在搅拌棒上的 VOC 以进行进一步的化合物鉴定。使用偏最小二乘判别分析(PLS-DA)构建了品种区分模型,并进行了变量选择。结果,使用 HSSE-GC-MS 鉴定出 111 种 VOC,其中醇类和酯类含量最丰富。PLS-DA 模型证明了品种鉴别能力,HSSE-GC-MS 和 PTR-TOF-MS 分别使用减少的 11 种 VOC 和 5 种产物离子获得了 95.5%的最高平衡准确率。SIFT-MS 模型使用减少的 11 种产物离子获得了 92.8%的平衡准确率。此外,HSSE-GC-MS 主要选择了更高分子量的 VOC,而 PTR-TOF-MS 和 SIFT-MS 之间存在互补性。与 SIFT-MS 相比,HSSE-GC-MS 与 PTR-TOF-MS 之间化合物丰度的相关性更高,表明 PTR-TOF-MS 更适合定量 HSSE-GC-MS 鉴定出的特定化合物。最后,研究结果支持存在源自合成和天然来源的 VOCs,突出了 VOC 分析系统在无损执行质量控制和揭示管理实践或编码在鸡蛋中的生物学信息差异方面的能力。

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