中国乳业 ›› 2026, Vol. 0 ›› Issue (3): 73-79.doi: 10.12377/1671-4393.26.03.11

• 质量安全 • 上一篇    下一篇

乳制品中耐热蛋白酶的生物工程检测方法研究进展

胡舒婕   

  1. 焦作工贸职业学院,河南焦作 454550
  • 出版日期:2026-03-25 发布日期:2026-04-09
  • 作者简介:胡舒婕(1996-),女,河南沁阳人,硕士,助教,研究方向为生物工程。

Research Progress on Bioengineering Detection Methods of Thermoduric Proteinases in Dairy Products

HU Shujie   

  1. Jiaozuo College of Industry And Trade,Jiaozuo Henan 454550
  • Online:2026-03-25 Published:2026-04-09

摘要: 耐热蛋白酶是影响乳品品质稳定性的关键风险因子,其耐热特性导致常规杀菌工艺难以实现彻底灭活,进而引发产品在货架期内的蛋白质水解与感官品质劣变。本文系统分析了耐热蛋白酶的微生物来源(如假单胞菌、芽孢杆菌)及其热稳定机制(疏水相互作用、金属离子依赖性),并重点探讨了检测技术的创新进展与行业应用中所面临的瓶颈。现有检测方法中,比色法成本低但灵敏度不足,荧光检测技术(如FRET)虽灵敏度高却受限于底物通用性,而分子生物学(PCR)与免疫识别(ELISA)技术则难以直接反映酶活性。研究表明,未来检测技术将向多手段融合(如LC-MS联用传感器阵列)与智能化(如机器学习辅助决策)方向发展,同时需解决原料筛查盲区、加工在线监测滞后及终端产品标准缺失等产业痛点。本文为构建高效、精准的耐热蛋白酶检测体系提供了理论依据,对相关行业标准制定与质量控制优化有重要参考价值。

关键词: 乳品, 耐热蛋白酶, 检测方法, 研究进展

Abstract: Thermoduric proteinases are a critical risk factor affecting the quality stability of dairy products. Their thermoduric property makes them difficult to achieve complete inactivation through conventional sterilization processes,thereby leading to protein hydrolysis and sensory quality deterioration of the product during its shelf life. This paper systematically analyzed the microbial sources of thermoduric proteinases(e.g.,Pseudomonas,Bacillus)and their thermal stability mechanisms(e.g.,hydrophobic interactions,metal ion dependence),and focused on the innovative progress of detection technologies and the bottlenecks encountered in industrial application. Among current detection methods,the colorimetric assays are cost-effective but lack sensitivity,while fluorescence-based techniques(e.g.,FRET)offer high sensitivity but are limited by substrate universality. Moreover,the molecular biology(PCR)and immunoassays(ELISA)are difficult to directly reflect the enzymatic activity. Research indicates that future detection technologies will evolve towards a multi-methods integration approach(e.g.,LC-MS combined with sensor arrays)and intelligent solutions(e.g.,machine learning-assisted decision-making),while also addressing industry pain points such as blind spots in raw material screening,lag in online processing monitoring,and the absence of standards for end products. This paper provided a theoretical foundation for the construction of an efficient and precise thermoduric proteinase detection system,and has significant reference value for the establishing relevant industry standards and the optimization of quality control.

Key words: dairy product, thermoduric proteinase, detection method, research progress

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