Galbanum nanocomposite coating containing Satureja khuzestanica essential oil for prolonging shrimp ( Metapenaeus affinis) shelf life at various temperatures

被引:0
|
作者
Afsar, Limo [1 ]
Hassanzadazar, Hassan [1 ]
Shojaee-Aliabadi, Saeedeh [2 ]
Aminzare, Majid [1 ]
机构
[1] Zanjan Univ Med Sci, Sch Publ Hlth, Dept Food Hyg & Safety, Zanjan, Iran
[2] Shahid Beheshti Univ Med Sci, Natl Nutr & Food Technol Res Inst, Fac Nutr Sci Food Sci & Technol, Dept Food Sci & Technol, Tehran, Iran
关键词
Shrimp shelflife; Galbanum gum; Lignocellulose nanofibers; Satureja khuzestanica; PACIFIC WHITE SHRIMP; ARTIFICIAL NEURAL-NETWORKS; POMEGRANATE PEEL EXTRACT; CARBOXYMETHYL CELLULOSE; LITOPENAEUS-VANNAMEI; SODIUM ALGINATE; QUALITY CHANGES; GUM; STORAGE; FILMS;
D O I
10.1016/j.lwt.2024.117169
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The effects of nanocomposite coatings based on galbanum gum (GG) and lignocellulose nanofibers (LCNF) containing Satureja khuzestanica essential oils (SKEO) (1 and 2%) on increasing the shelf life of shrimp and modeling the shelf life of shrimp during 12 days' storage at different temperatures of 0, 8, and 15 degrees C were investigated. During the storage period, total aerobic mesophilic bacteria (TMB), total psychrophilic bacteria (PBC), pseudomonas spp., lactic acid bacteria, H2S-producing bacteria, and chemical tests including volatile nitrogen bases (TVB-N) and thiobarbituric acid substances (TBARs) and pH increased in all treatments. The pattern of the parameters' increase in different groups was as the following: G + LN + SE2 < G + SE2 < G + LN + SE1 < G + SE1 < G + LN < G < C. The values of a & lowast; and b & lowast; parameters increase less with decreasing temperature during storage time and increasing the concentration of essential oil in the nanocomposites (P < 0.05). The sensory attributes of the coated shrimp samples were significantly more acceptable (P < 0.05). Integration of GG/LCNF/SKEO coating promisingly can improve the quality of shrimp samples during refrigerated storage. Artificial neural network sensitivity analysis (ANN model) as a computational tool to predict food quality showed that the storage time has the greatest effect on the quality of shrimp samples.
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页数:14
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