Storage Duration Prediction for Long-Expired Frozen Meat Exceeding State Reserve Time via Swept-Source Optical Coherence Tomography (SS-OCT) under Low-Frequency Electric Field

Storage duration detection for frozen meat, especially meat exceeding the state reserve time several times, has always been a big challenge in food safety inspection. Under long freezing times, the physical and chemical properties of meat change complexly. In this paper, the SS-OCT detection method...

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Bibliographic Details
Main Authors: Lu Zhang, Ruoxuan Li, Xiaorong Shen, Linkai He, Jie Huang, Chi Song, Zeyu Fan, Hong Zhao, Kejia Li, Meizhen Xie, Jinfeng Peng, Pingping Jia, Xiaojun Deng, Minli Yang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/10/9/956
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Summary:Storage duration detection for frozen meat, especially meat exceeding the state reserve time several times, has always been a big challenge in food safety inspection. Under long freezing times, the physical and chemical properties of meat change complexly. In this paper, the SS-OCT detection method under a low-frequency electric field is firstly (to our knowledge) applied to the predict storage durations of long-expired frozen meat. The average normalized cross-correlation (<i>ANCC</i>) is put forward as a comprehensive parameter to reflect both the electric–kinetic and optical properties of meat’s biological changes. A monotonically increasing inversion rule between <i>ANCC</i> and the storage duration of frozen meat is found after investigating 3840 pork samples, the frozen storage durations of which were from 1 to 13 months. To verify the correctness and accuracy of our method, nine groups of long-expired frozen pork samples were investigated. The maximum relative error for their storage durations is less than 5.71%, which means that our SS-OCT method under a low-frequency electric field is promising in providing a rapid on-site storage duration detection method without any complicated laboratory pretreatments for food safety inspection.
ISSN:2304-6732