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Publishing Language: Chinese | Open Access

Kinetic Modeling for Shelf-Life Prediction of Dry Salted Duck Based on Total Volatile Basic Nitrogen

Li DAN1 Li HE1Shangpeng DIAO2Yage XING1 ( )Qinglian XU1Hong LIU1Xingyu LÜ1Yangyang YE1Luoguo WUREMO1
School of Food and Bioengineering, Xihua University, Chengdu 610039, China
Dechang County Maoyuanchang (Tong Ear) Food Co. Ltd., Liangshan 615599, China
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Abstract

A model for predicting the shelf-life of Daliangshan hand-torn duck at different storage temperatures was established. Changes in the sensory score, total volatile basic nitrogen (TVB-N), peroxide value (POV), thiobarbituric acid (TBA) value, and a* value of dry salted duck stored at 25, 30 or 37 ℃ were analyzed and the correlation among them was examined. Chemical reaction kinetic equations and the Arrhenius equation were used to develop a shelf-life prediction model for hand-torn dried duck. The results showed that the sensory score, a*, water activity (aw) and pH decreased with storage time, irrespective of storage temperature, while the opposite trend was observed for the TVB-N, POV and TBA value. The changing trend was 37 ℃ > 30 ℃ > 25 ℃. Pearson’s correlation coefficients between the sensory attributes and the physicochemical indexes showed TVB-N to be an effective quality index to predict the shelf-life of hand-torn dried duck. According to the proposed prediction model, the estimated shelf-life of dry salted duck was 305, 255 and 204 d at 25, 30 and 37 ℃, respectively. Within the first 100 days of storage, the relative deviation between the predicted value and the measured value was less than 10%, demonstrating high accuracy and reliability of the model. In conclusion, this model could allow quick and reliable prediction of the shelf-life of dry salted duck.

CLC number: TS251.5+5 Document code: A Article ID: 1002-6630(2025)11-0302-08

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Food Science
Pages 302-309

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Cite this article:
DAN L, HE L, DIAO S, et al. Kinetic Modeling for Shelf-Life Prediction of Dry Salted Duck Based on Total Volatile Basic Nitrogen. Food Science, 2025, 46(11): 302-309. https://doi.org/10.7506/spkx1002-6630-20241209-062

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Received: 09 December 2024
Published: 15 June 2025
© Beijing Academy of Food Sciences 2025.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).