colorimetric sensors
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2022 ◽  
Author(s):  
FangKai Han ◽  
Xingyi Huang ◽  
Joshua Harington Aheto ◽  
Xiaorui Zhang ◽  
Marwan M.A. Rashed

A low-cost electronic nose (E-nose) based on colorimetric sensors fused with near-infrared (NIR) spectroscopy was proposed as a rapid and convenient technique for detecting beef adulterated with duck. The total...


Author(s):  
Priyanka Shiveshwarkar ◽  
Savier Vega Siurano ◽  
Mahri Kadyrova ◽  
Natalie Tran ◽  
Justyn Jaworski
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Author(s):  
Muhammad Tahir Waseem ◽  
Hafiz Muhammad Junaid ◽  
Hira Gul ◽  
Zulfiqar Ali Khan ◽  
Cong Yu ◽  
...  

Author(s):  
Pelin Talu Özkaya ◽  
Seval Dağbağlı

Food packaging has an important role in protecting food against physical, chemical, and biological hazards during storage and distribution and in informing the consumer about the product. The packaging of foods that susceptible to chemical / microbiological spoilage especially such as meat, hence limited storage time, is even more important than other foods. In addition, the tendency of health-conscious consumers to be a part of real-time controls and monitoring food safety has led to the widening of this packaging perception. Hence, there have been innovative studies in recent years, especially aiming real time monitorization of freshness indicators. The focus of these studies is “colour indicators” used in the production of intelligent indicator films and colorimetric sensors within specific matrices to be integrated into packaging materials. The colour indicators change colour in the presence of certain metabolites released in food spoilage, which allows freshness to be determined. Colour substances used for this purpose can be natural or synthetic. Hence, natural pigments such as anthocyanin, curcumin, etc. have been more preferrable since being harmless to the health as well as increasing tendency of consumers to utilization from natural resources. In this review, information about natural colour indicators and studies in which these indicators are used to determine the freshness of meat in real time and visually are given.


Author(s):  
Yanan Li ◽  
Zhenni Qian ◽  
Chenyang Shen ◽  
Zeyu Gao ◽  
Keru Tang ◽  
...  

2021 ◽  
pp. 130404
Author(s):  
Jingjing Yu ◽  
Francis Tsow ◽  
Sabrina Jimena Mora ◽  
Vishal Varun Tipparaju ◽  
Xiaojun Xian

Author(s):  
Mohamed Hasaan Hussain ◽  
Lim Ping Fook ◽  
Maria Kana Sanira Putri ◽  
Huey Ling Tan ◽  
Noor Fitrah Abu Bakar ◽  
...  

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