作文(语言)
核磁共振
理论(学习稳定性)
磁场
领域(数学)
材料科学
化学
物理
计算机科学
数学
语言学
量子力学
机器学习
哲学
纯数学
作者
Sara Aghajanzadeh,Ali Asghari,Christophe Cordella,Seddik Khalloufi
出处
期刊:Food Chemistry
[Elsevier]
日期:2025-02-25
卷期号:478: 143585-143585
被引量:3
标识
DOI:10.1016/j.foodchem.2025.143585
摘要
This study investigates the application of low-field nuclear magnetic resonance (LF-NMR) to evaluate emulsion stability, focusing on formulation, mechanical treatments, and storage. The results showed that Emulsion 2 (water: 72.73 %, oil: 18.18 %, and egg yolk: 9.09 %) showed 4.68 % decrease in the longest peak relaxation time (T24) and 14.58 % reduction in T24 peak ratio than Emulsion 1 (water: 85.71 %, oil: 9.52 %, and egg yolk: 4.76 %). Mechanical treatments (high-speed mixing and high-pressure homogenization) increased T24 peak area ratio (>64 %) due to particle size reduction (<200 μm) and enhanced stability. Conversely, centrifuging the mechanically treated samples increased T24 peak ratio (Emulsion 1: 61.95 %, Emulsion 2: 21.88 %), indicating phase separation. After one day of storage, single-component relaxation time (T2w) doubled, reflecting weaker hydrogen bonding. A peak ratio's relationship with storage time (R2 > 0.99) was developed to predict emulsion stability. This study demonstrates LF-NMR's potential for predicting phase behavior and optimizing emulsion formulations and processing technologies.
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