香芹酚
食品科学
蜡样芽孢杆菌
抗菌活性
TBARS公司
化学
精油
保质期
肠沙门氏菌
乳酸
活性包装
食品包装
腌制
金黄色葡萄球菌
脂质氧化
核化学
抗氧化剂
细菌
大肠杆菌
生物
生物化学
脂质过氧化
基因
遗传学
作者
Mojtaba Heydari‐Majd,Babak Ghanbarzadeh,Mostafa Shahidi Noghabi,Mohammad Ali Najafi,M.W. Hosseini
标识
DOI:10.1016/j.fpsl.2018.12.002
摘要
In the current study, the active packaging films based on poly lactic acid (PLA) containing 1.5% w/w zinc oxide (ZnO) nanoparticles and varying concentrations (0.5, 1, 1.5% w/w) of Zataria multiflora Boiss. essential oil (ZEO) and Menthe piperita L. essential oil (MEO) were produced. The efficacies of the resulted active films on shelf life extension of Otolithes ruber fish during 16 days of refrigerated storage (4 ± 1 °C) were evaluated. The antibacterial activity of the films was tested against five common food-borne pathogens (Escherichia coli, Salmonella enterica, Pseudomonas aeruginosa, Bacillus cereus and Staphylococcus aureus) by disc diffusion method. The fillet samples were analyzed periodically for microbiological (aerobic count, Enterobacteriaceae count, Pseudomonas spp., Lactic acid bacteria (LAB) count and H2S-producing bacteria) and chemical (TBARS and TVB-N). PLA/ZnO/ZEO and PLA/ZnO/MEO films showed enhanced antibacterial (691 and 513.33 mm2, repectively, against S. aureus) and antioxidant (69.14 and 49.08%, repectively) activity than control. Based on the microbial count, the active films significantly increased the shelf life of fillets from 8 to 16 days. The lowest TBARS (0.8 mg MA/kg muscle) and TVB-N (21.23 mg/100 g muccle) values were obtained in fillets wrapped with PLA/ZnO containing 1.5% ZEO. Carvacrol and menthone were found to be the main compounds of ZEO and MEO following GC analysis, respectively. Atomic absorption spectrophotometer showed transfer only a minuscule amount of Zn2+ ions to the meat. Overally, the PLA/ZnO films containing the essential oils could be deemed as a potential alternative to the current common technologies for extending the shelf-life of meat products like 'Otolithes ruber fillets.
科研通智能强力驱动
Strongly Powered by AbleSci AI