| 徐影影1，苗永军2，张铭凯1，杜倩弟3，邓乾春4，陈洪建3，朱慧馨3.不同体外消化模型对DHA藻油乳液
在消化过程中稳定性的影响[J].中国油脂,2026,51(5):.[XU Yingying1 , MIAO Yongjun2 , ZHANG Mingkai1, DU Qiandi3,
DENG Qianchun4, CHEN Hongjian3, ZHU Huixin3.Effects of different in vitro digestion models on the stability of DHA algal oil emulsion during digestion[J].China Oils and Fats,2026,51(5):.] |
| 不同体外消化模型对DHA藻油乳液
在消化过程中稳定性的影响 |
| Effects of different in vitro digestion models on the stability of DHA algal oil emulsion during digestion |
| |
| DOI：10.19902/j.cnki.zgyz.1003-7969.250089 |
| 中文关键词: DHA藻油乳液 体外消化模型 物理稳定性 脂质氧化稳定性 |
| 英文关键词:DHA algal oil emulsion in vitro digestion model physical stability lipid oxidative stability |
| 基金项目: |
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| Author Name | Affiliation | | XU Yingying1 , MIAO Yongjun2 , ZHANG Mingkai1, DU Qiandi3,
DENG Qianchun4, CHEN Hongjian3, ZHU Huixin3 | 1.College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430048, China
2.State
Key Laboratory of Woody Oil Resources Utilization, Hunan Academy of Forestry Sciences, Changsha 410004,
China
3.College of Health Sciences and Engineering, Hubei University,Wuhan 430062, China
4.Institute of oil Crops, Chinese Academy of Agricultural Sciences, Wuhan 430062, China |
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| 摘要点击次数: 133 |
| 全文下载次数: 8 |
| 中文摘要: |
| 旨在为DHA藻油乳液在消化道环境中的稳定性调控提供理论依据，采用激光微米粒度仪、激光扫描共聚焦显微镜、气相色谱-质谱联用仪及液相色谱-串联质谱仪测定了经纯化的DHA藻油乳液（SDOE）在非消化、静态消化和半动态消化模型中粒径、微观结构和氧化产物，对比分析其在3种模型中的稳定性。结果表明：不同模型中SDOE的粒径、微观结构和氧化程度不同；在非消化模型中，SDOE的平均粒径和微观结构未发生明显变化；在静态消化模型中，口腔消化阶段SDOE平均粒径无显著变化，胃消化阶段显著增大至1.378 μm，且出现大粒径液滴与明显聚集现象，在肠道消化阶段平均粒径降至0.419 μm，油滴变小；而半动态消化模型中SDOE的平均粒径仅在胃部消化末期轻微上升至0.325 μm，在肠道消化末期，其平均粒径明显小于静态消化模型，且在微观结构中几乎未见显色信号；氧化产物分析表明，非消化模型中SDOE生成的氧化产物最少，氧化程度最低，半动态消化模型中生成的挥发性氧化产物少于静态消化模型，SDOE主要生成的挥发性氧化产物为乙醇、3-甲基丁醛、己醛、(E)-2-己烯醛、(E)-2-庚烯醛、(E,E)-2,4-庚二烯醛、(E)-2-辛烯醛及(E,E)-2,4-癸二烯醛，结合态非挥发性氧化产物在静态及半动态消化模型中种类基本一致，较为稳定。综上，消化过程显著影响SDOE的稳定性，SDOE在半动态消化模型中稳定性更强。 |
| 英文摘要: |
| To provide a theoretical basis for regulating the stability of DHA algal oil emulsion in the digestive tract environment, laser micrometer particle size analyzers, confocal laser scanning microscope, gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-tandem mass spectrometry (LC-MS/MS) were used to determine the particle size, microstructure, and oxidation products of purified DHA algal oil emulsion (SDOE) in non-digestive, static digestive, and semi-dynamic digestive models. The stability of SDOE among these three models was comparatively analyzed. The results showed that the particle size, microstructure, and oxidation degree of SDOE differed among the models. In the non-digestion model, the average particle size and microstructure of SDOE remained largely unchanged. In the static digestion model, the average particle size of SDOE showed no significant change during the oral digestion phase but increased markedly to 1.378 μm during gastric digestion, accompanied by the formation of large droplets and noticeable aggregation. During the intestinal digestion phase, the average particle size decreased to 0.419 μm, with smaller oil droplets. In the semi-dynamic digestion model, the average particle size only slightly increased to 0.325 μm at the end of gastric digestion, and at the end of intestinal digestion, its particle size was significantly lower than that in the static digestion model, with almost no staining signal risible in the microstructure. Analysis of oxidation products revealed that the non-digestion model produced the fewest oxidation products and exhibited the lowest oxidation level. The semi-dynamic digestion model generated fewer volatile oxidation products than the static digestion model. The primary volatile oxidation products generated from SDOE were ethanol, 3-methylbutanal, hexanal, (E)-2-hexenal, (E)-2-heptenal, (E,E)-2,4-heptadienal, (E)-2-octenal, and (E,E)-2,4-decadienal. The types of bound non-volatile oxidation products were largely consistent and relatively stable in both the static and semi-dynamic digestion models. In summary, the digestion process significantly impacts the stability of SDOE, and SDOE exhibits greater stability in the semi-dynamic digestion model. |
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