乳业科学与技术 ›› 2025, Vol. 48 ›› Issue (4): 79-85.DOI: 10.7506/rykxyjs1671-5187-20250303-017

• 专题论述 • 上一篇    

乳制品货架期指标选择及预测模型研究进展

万龙玉,涂文,张佳欣,王华冰,王旭,赵倩玉,曲波,姜毓君,赵锋   

  1. (1.东北农业大学食品学院,黑龙江 哈尔滨 150030;2.国家乳业技术创新中心,内蒙古 呼和浩特 010000)
  • 出版日期:2025-07-01 发布日期:2025-08-11
  • 基金资助:
    国家乳业技术创新中心项目(2022-JBGS-1)

Research Progress on Indicator Selection and Predictive Modeling for Shelf-Life Determination of Dairy Products

WAN Longyu, TU Wen, ZHANG Jiaxin, WANG Huabing, WANG Xu, ZHAO Qianyu, QU Bo, JIANG Yujun, ZHAO Feng   

  1. (1. College of Food Science, Northeast Agricultural University, Harbin 150030, China; 2. National Center of Technology Innovation for Dairy, Hohhot 010000, China)
  • Published:2025-07-01 Online:2025-08-11

摘要: 延长乳制品货架期对乳品行业的发展具有至关重要的意义。在全球范围内,乳品企业正积极寻求新的业务增长点,以同时满足消费者对乳制品品质不断提升的需求,以及提高加工食品在供应链中的经济效益和环境可持续性。乳制品的体系十分复杂,在贮藏过程中,营养素自身及营养素与营养素之间的理化反应繁复多变,且易受外界环境变化的影响而发生劣变。本文通过分析乳制品自身氧化、非酶褐变及主要环境变化等关键指标,明确选取适宜的指标并构建可靠的乳制品货架期预测模型,为快速、准确构建货架期模型提供科学依据,以助力乳品行业可持续发展。

关键词: 乳制品;货架期预测模型;品质指标;分析方法

Abstract: Extending the shelf life of dairy products is of critical importance for the development of the dairy industry. Globally, dairies are actively exploring innovative business growth strategies to address the rising consumer demand for high-quality dairy products while simultaneously improving the economic benefits and promoting the environmental sustainability of processed foods within the supply chain. The system of dairy products is very complex, and during the storage period, the physicochemical properties of nutrients and nutrient-nutrient interactions are complicated, highly variable, and susceptible to deterioration when the external environment changes. This review focuses on key quality indicators of dairy products, such as lipid oxidation, non-enzymatic browning, and significant environmental factors. By systematically selecting appropriate indicators and developing robust shelf-life prediction models, a scientific foundation is laid for the rapid and precise development of shelf-life models. These efforts ultimately support the sustainable development of the dairy industry.

Key words: dairy products; shelf-life prediction model; quality indicators; analytical methods

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