Electrical impedance spectroscopy for non-destructive meat freshness assessment

The quality of meat is inherently linked to the time of its departure from the processing facility, the conditions of transportation, and the methods of storage, all of which directly affect the meat's integrity. Rapid, non-destructive, and precise evaluation of meat quality has thus emerged as...

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Bibliographic Details
Published in:Discover Food Vol. 4; no. 1; pp. 177 - 16
Main Authors: Wang, Shiqian, Zhang, Ziye, Zhao, Xinyao, Xiao, Xinqing
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.12.2024
Springer Nature B.V
Springer
Subjects:
Agriculture
Biosensors
Chemical contaminants
Chemistry
Chemistry and Materials Science
Cost analysis
Data collection
Dielectric properties
Electrical impedance
Electrochemistry
Enzymes
Feature analysis
Food Microbiology
Food Science
Impedance
Meat
Meat industry
Meat processing
Meat products
Meat quality
Nutrition
Physiology
Predictive modeling
Review
Software
Spectroscopy
Spectrum analysis
Predictive modeling
Biosensors
Feature analysis
Meat quality
Electrical impedance
ISSN:2731-4286, 2731-4286
Online Access:Get full text
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Summary:The quality of meat is inherently linked to the time of its departure from the processing facility, the conditions of transportation, and the methods of storage, all of which directly affect the meat's integrity. Rapid, non-destructive, and precise evaluation of meat quality has thus emerged as a significant area of interest in recent years. Electrical impedance spectroscopy (EIS), recognized for its high reproducibility, user-friendly nature, non-polluting properties, measurement stability, and controllable error rates, stands out as a cutting-edge, non-destructive technique for quality assessment in today's landscape of equipment, applications, and data analysis methodologies. This paper provides a comprehensive review of the utilization of EIS-based non-destructive sensors for gauging the internal quality of meat, detailing the modalities of measurement and predictive modeling techniques. A critical discourse on the merits and demerits of various biosensors is presented, alongside an examination of the practical applicability of the EIS measurement approach. The paper encapsulates the commonly employed methods for the selection and processing of electrical impedance sensor data, including preprocessing, feature selection, calibration, and validation. Ultimately, the paper posits that the evolution from costly electrochemical devices traditionally used for impedance data collection to more economical, impedance-based devices for estimating meat freshness represents an avenue ripe for future exploration.
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ISSN:2731-4286
2731-4286
DOI:10.1007/s44187-024-00259-5