An intelligent cellulose pad loaded with copper nanoparticles for real-time freshness monitoring of beef

被引:0
|
作者
Sharif, Khadije [1 ]
Shekarchizadeh, Hajar [1 ]
机构
[1] Isfahan Univ Technol, Coll Agr, Dept Food Sci & Technol, Esfahan 8415683111, Iran
关键词
Copper nanoparticles; Intelligent packaging; Beef; MEAT; CHITOSAN; CABBAGE; FILMS; GUM;
D O I
10.1016/j.lwt.2024.116949
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
This study aimed to develop a colorimetric indicator using copper nanoparticles (CuNPs) to identify the spoilage of packaged beef. CuNPs-based colorimetric indicators were prepared with cellulose papers impregnated with CuNPs. The stability test showed that the color parameters of the CuNPs-based indicator had no significant color changes during 30 d of storage. The prepared indicator had an excellent and selective sensitivity to H2S gas produced during beef spoilage. The prepared indicator was used in the beef package to monitor its shelf life. The CuNPs-based colorimetric indicator showed noticeable color changes from white to brown due to the reaction of CuNPs with sulfide gases and the production of Cu2S and CuS compounds, confirmed by XPS analysis. The pH and total viable count results indicated a perfect correlation between the colorimetric indicator and the qualitative parameters determining spoilage. The results of the color change of the indicator used in the damaged package showed that not only was the color change of the indicator irreversible, but it also clearly showed the stage of spoilage of the beef during its storage. The CuNPs-based colorimetric indicator provides a promising approach in intelligent packaging systems of meat products to monitor their freshness with the naked eye.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] In situ growth of curcumin-loaded cellulose composite film for real-time monitoring of food freshness in smart packaging
    Miao, Zhouyu
    Yang, Mingchen
    Abdalkarim, Somia Yassin Hussain
    Yu, Hou-Yong
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2024, 279
  • [2] Designing cellulose nanofibrils/carbon dots intelligent label with colorimetric and fluorescent dual responsiveness for real-time monitoring of food freshness
    Zhu, Hong
    Li, Jian
    Cheng, Jun-Hu
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2024, 271
  • [3] Porphyrin fluorescence imaging for real-time monitoring and visualization of the freshness of beef stored at different temperatures
    Liu, Huan
    Zhu, Lei
    Ji, Zengtao
    Zhang, Min
    Yang, Xinting
    FOOD CHEMISTRY, 2024, 442
  • [4] Stretchable, antifatigue, and intelligent nanocellulose hydrogel colorimetric film for real-time visual detection of beef freshness
    Yu, Kejin
    Yang, Lina
    Zhang, Siyu
    Zhang, Ning
    Xie, Mengxi
    Yu, Miao
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2024, 268
  • [5] Real-time monitoring of the aging of single plasmonic copper nanoparticles
    Qin, Li-Xia
    Jing, Chao
    Li, Yang
    Li, Da-Wei
    Long, Yi-Tao
    CHEMICAL COMMUNICATIONS, 2012, 48 (10) : 1511 - 1513
  • [6] Intelligent biogenic amine-responsive fluorescent label for visual and real-time monitoring of seafood freshness
    Liu, Yingnan
    Jiang, Wanqi
    Yang, Zan
    Tong, Fei
    Wang, Lei
    Zhu, Lu
    Yu, Zhenyu
    Zheng, Mingming
    Xiao, Yaqing
    Zhou, Yibin
    FOOD CHEMISTRY, 2022, 388
  • [7] An Intelligent Indicator Film Based on Food Derived Materials for Real-Time Visual Monitoring of Salmon Freshness
    Yan, Zhiyu
    Zhang, Siqi
    Lin, Songyi
    Ding, Ni
    Qiang, Jiaxin
    Xie, Tongtong
    Zhang, Simin
    JOURNAL OF AQUATIC FOOD PRODUCT TECHNOLOGY, 2024, 33 (09) : 734 - 746
  • [8] Lignin-Derived Carbon Dot/Cellulose Nanofiber Films for Real-Time Food Freshness Monitoring
    Si, Lin
    Shi, ZeKun
    Hou, JiaYi
    Miao, ChengXia
    Hou, Qin
    Xu, Zhixiang
    Ai, Shiyun
    ACS APPLIED NANO MATERIALS, 2022, 5 (11) : 16620 - 16632
  • [9] A pH-Responsive colourimetric sensor array based on machine learning for real-time monitoring of beef freshness
    Lin, Yuandong
    Ma, Ji
    Sun, Da-Wen
    Cheng, Jun-Hu
    Wang, Qijun
    FOOD CONTROL, 2023, 150
  • [10] Intelligent Janus nanoparticles for intracellular real-time monitoring of dual drug release
    Cao, Han
    Yang, Yuhong
    Chen, Xin
    Shao, Zhengzhong
    NANOSCALE, 2016, 8 (12) : 6754 - 6760