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
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
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.
作者简介: 陈良哲,荆楚理工学院电子信息工程学院讲师、硕士研究生导师。2014年福建师范大学应用化学专业本科毕业,2016年福建师范大学有机化学专业硕士毕业,2019年武汉大学材料加工工程专业博士毕业后到荆楚理工学院工作至今。目前主要从事智能包装、绿色印刷材料、储能材料与器件等方面的研究工作,发表论文10余篇,包括Sensors and Actuators B: Chemical、Journal of Hazardous Materials、Advanced Engineering Materials、Nanomaterials、RSC Advances、Chemistry Select、Journal of Imaging Science and Technology和《精细化工》等。
引用本文:
陈良哲, 熊泽宇, 贾丹丹, 孙歆钰, 黄少云, 郭婷, 詹红菊, 刘兴海. 基于黑果枸杞花青素的智能标签:新鲜度指示性能和机理[J]. 材料导报, 2022, 36(23): 21040186-6.
CHEN Liangzhe, XIONG Zeyu, JIA Dandan, SUN Xinyu, HUANG Shaoyun, GUO Ting, ZHAN Hongju, LIU Xinghai. Intelligent Label of Anthocyanins Based on Lycium Ruthenicum Murray: Freshness Indicator Property and Mechanism. Materials Reports, 2022, 36(23): 21040186-6.
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2022, Vol. 36 
