食品科学 ›› 2018, Vol. 39 ›› Issue (23): 212-220.doi: 10.7506/spkx1002-6630-201823032

• 包装贮运 • 上一篇    下一篇

乳源抗菌肽复合生物保鲜剂对冷却牛肉货架期的影响

黄明焜,师振强,李志成*,夏效东,孙艳文   

  1. 西北农林科技大学食品科学与工程学院,陕西 杨凌 712100
  • 出版日期:2018-12-15 发布日期:2018-12-17
  • 基金资助:
    “十二五”国家科技支撑计划项目(2015BAD16B08);杨凌示范区科技计划项目(2016NY-30)

Effects of Composite Biological Preservatives Containing Antimicrobial Peptides Derived from Casein on the Shelf-Life of Chilled Beef

HUANG Mingkun, SHI Zhenqiang, LI Zhicheng*, XIA Xiaodong, SUN Yanwen   

  1. College of Food Science and Engineering, Northwest A & F University, Yangling 712100, China
  • Online:2018-12-15 Published:2018-12-17

摘要: 为延长冷却牛肉货架期并建立货架期预测模型,选取乳源抗菌肽、壳聚糖、乳酸链球菌素(Nisin)、茶多酚和丁香精油5 种天然保鲜剂,通过U16(84)均匀试验,以挥发性盐基氮(total volatile basic nitrogen,TVB-N)含量、pH值和菌落总数为指标进行分析,确定保鲜剂的适宜添加量为壳聚糖22.5 g/L、Nisin 0.15 g/L、乳源抗菌肽9.7 g/L、茶多酚1.5 g/L、丁香精油13.0 g/L,(4±1)℃条件下冷却牛肉货架期比空白组延长了25 d以上。对于冷却牛肉TVB-N含量,乳源抗菌肽与Nisin、茶多酚、丁香精油之间及Nisin与茶多酚之间具有极显著的交互影响(P<0.01),丁香精油与Nisin之间具有显著的交互作用(P<0.05)。用复合天然保鲜剂处理后的冷却牛肉在-1、2、6 ℃条件下贮藏,运用Arrhenius方程拟合温度对冷却牛肉菌落总数的影响,结果显示不同温度下决定系数R2均大于0.91,货架期预测模型为SL=2.75×10-9×exp(6 567.2/T)。贮藏温度分别为2、4 ℃和6 ℃时,冷却牛肉的实际货架期分别为61、53 d和47 d,与货架期预测值相比,相对误差均在6%以内,表明建立的模型可以有效预测冷却牛肉在-1~6 ℃贮藏条件下的货架期。

关键词: 冷却牛肉, 乳源抗菌肽, 复合保鲜剂, 货架期, 预测模型

Abstract: In order to extend the shelf-life of chilled beef and establish a predictive model for the determination of the shelflife, we developed and optimized an effective composite preservative containing antimicrobial peptides derived from casein, chitosan, nisin, tea polyphenols and clove essential oil using a U16(84) uniform design. Total volatile basic nitrogen (TVB-N) value, pH and total viable count were used as response variables. The results showed that the optimal combination was determined as 22.5 g/L chitosan, 0.15 g/L nisin, 9.7 g/L antimicrobial peptides derived from casein, 1.5 g/L tea polyphenols and 13.0 g/L clove essential oil. Compared with the control group, the shelf-life of chilled beef treated with the optimal composite preservative and stored at (4 ± 1) ℃ was extended by over 25 days. The interaction between antimicrobial peptides and nisin, tea polyphenols or clove essential oil, and between nisin and tea polyphenols had a significant effect on the change of TVB-N content (P < 0.01). Total viable counts of chilled beef treated with this composite preservative as a function of storage temperature (?1, 2 and 6 ℃) were fitted with the Arrhenius equation with the coefficients of determination greater than 0.91. The shelf-life (SL) prediction model developed was as follows: SL = 2.75 × 10-9 × exp (6 567.2/T). The actual shelf-life of chilled beef at 2, 4 and 6 ℃ was 61, 53 and 47 d, respectively and the relative error between the actual and predictive values less than 6%, suggesting that the model can effectively predict the shelf-life of chilled beef at ?1–6 ℃.

Key words: chilled beef, antimicrobial peptides derived from casein, composite preservative, shelf-life, prediction model

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