POLYMERS AND POLYMER MATRIX COMPOSITES |
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Intelligent Label of Anthocyanins Based on Lycium Ruthenicum Murray: Freshness Indicator Property and Mechanism |
CHEN Liangzhe1,2,*, XIONG Zeyu1, JIA Dandan1, SUN Xinyu1, HUANG Shaoyun1, GUO Ting1, ZHAN Hongju1, LIU Xinghai2
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1 School of Electronic Information Engineering, Jingchu University of Technology, Jingmen 448000, Hubei, China 2 Research Center of Graphic Communication, Printing and Packaging, Wuhan University, Wuhan 430072, China |
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Abstract Lycium ruthenicum Murray (LM) is rich in natural anthocyanins, and the variation of pH can cause responsive discolouration. Through the simple and easy method, the smart label is constructed on the filter paper to realize the rapid and non-destructive detection of the freshness of the packaging meat, which can effectively protect the health of consumers. Hence, this study employed LM as raw material to extract anthoc-yanins (LMa) by an ultrasonic-solvent method. Then, the porous filter paper was selected as the carrier, and the paper-based LMa (LMa-p) smart label was obtained via the soaked method followed by assembling. The results of UV-Vis, FTIR, optical microscopy and other instruments show that LMa has a typical anthocyanin structure, which has been successfully loaded on porous filter paper. The indicator mechanism attributes the molecular configuration of LMa changes from yellow last cation to quinone base with the increase of pH, resulting in the color change. In addition, the LMa-p label is based on a 10.0 mg/mL soak solution and the fast filter paper has a loose and porous surface structure, which can balance response and sensitivity well. The response time and total color difference (ΔE) are about (0.94±0.18) s and 11.27±0.12, respectively, and the label can be reused many times. Furthermore, in the preservation experiment of fish, LMa-p label can feedback on the freshness information in time and accurately, and the ΔE value reaches 9.29±0.06 at the time of corruption (11 h), indicating great application potential.
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Published:
Online: 2022-12-09
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Fund:National Natural Science Foundation of China(51776143), the Natural Science Foundation of Hubei Pro-vince(2021CFB215) and Research Team Project of Jingchu University of Technology(TD202101, T2020023). |
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