Water dynamics and microbial communities of bigeye tuna (Thunnus obesus) during simulated cold chain logistics

This study investigated changes in the physicochemical indexes, water dynamics, and microbial communities of bigeye tuna (Thunnus obesus) during simulated cold chain logistics. With increasing storage time, the color and water activity decreased gradually, while drip loss gradually increased, and pH...

Full description

Saved in:
Bibliographic Details
Published in:Journal of food safety 2020-04, Vol.40 (2), p.n/a
Main Authors: Wang, Xin‐Yun, Xie, Jing
Format: Article
Language:English
Subjects:
Bound water
Cold
Cold storage
Environmental effects
Environmental factors
Food safety
Logistics
Microbial activity
Microbiomes
Microorganisms
Moisture content
NMR
Nuclear magnetic resonance
Principal components analysis
Redundancy
Simulation
Supply chains
Thunnus obesus
Tuna
Water activity
Water content
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study investigated changes in the physicochemical indexes, water dynamics, and microbial communities of bigeye tuna (Thunnus obesus) during simulated cold chain logistics. With increasing storage time, the color and water activity decreased gradually, while drip loss gradually increased, and pH increased with a fluctuating pattern. The trend of bound water content was not obvious, trapped water declined, and free water increased with fluctuations over time, according to low‐field nuclear magnetic resonance (LF‐1H NMR). High‐throughput sequencing results indicated that fluctuating temperatures inhibited Acinetobacter and Pseudomonas and promoted Pelomonas, Psychrobacter, and Shewanella. Principal component analysis and redundancy analysis revealed significantly different microbial community interactions among the four groups, and environmental factors had distinct effects on bacterial community assemblages. LF‐NMR and high‐throughput sequencing can be used to monitor dynamic quality changes in bigeye tuna during simulated cold chain logistics with fluctuating temperatures. Schematic diagram of four cold chain logistics simulations based on low‐field nuclear magnetic resonance (LF‐NMR) and high‐throughput sequencing
ISSN:0149-6085
1745-4565
DOI:10.1111/jfs.12766