Intelligent Packaging and Food Safety

Siró, István

doi:10.1002/9781118474563.ch19

Cited by 4 publications

(2 citation statements)

References 90 publications

(109 reference statements)

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“…Carbon dots (CDs) are synthesized from natural materials, and provide additional functions to food packaging, ultimately increasing the quality, freshness, and shelf life of food products. 11 A review by Qu et al (2018) gives an idea for using carbon dots for food safety and preservation. Carbon dots can be easily synthesized from waste materials or eco-friendly substances such as peels, leaves, honey, and fruits.…”

Section: Deepikamentioning

confidence: 99%

Carbon dots for food packaging applications

Deepika

Kumar

Gaikwad

2023

Sustainable Food Technol.

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Section: Deepikamentioning

confidence: 99%

Carbon dots for food packaging applications

Deepika

Kumar

Gaikwad

2023

Sustainable Food Technol.

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“…Considered as the next generation of packaging systems, the IP are technologies to monitor and provide information of the status of the food storage, the packaging, or the internal and external environment by ensuring the quality indicators [6]. These packaging systems are capable of performing intelligent functions such as detection, acquisition, recording, monitoring, communication, and application of scientific logic, to facilitate decision making, extending the life and warning potential problems [7].…”

Section: Intelligent Packaging (Ip)mentioning

confidence: 99%

Nanosensors for a Monitoring System in Intelligent and Active Packaging

et al. 2016

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A theoretical wireless nanosensor network (WNSN) system that gives information about the food packaging condition is proposed. The protection effectiveness is estimated by measuring many factors, such as the existence of microorganisms, bacteria, gases, and contaminants. This study is focused on the detection of an antimicrobial agent (AA) attached on a polymer forming an active integrated package. All monitoring technologies for food conservation are analyzed. Nanobiosensor nanomachine (NM), which converts biological or chemical signals into electrical signals, is used. A mathematical model, which describes the constituent’s emigration from the package to food, is programmed in MatLab software. The results show three nanobiosensors forming a WNSN. The nanobiosensors are able to carry out the average concentration for different spots in the package. This monitoring system shows reading percentages in three degrees and different colors: excellent (green), good (cyan), and lacking (red). To confirm the utility of the model, different simulations are performed. Using the WNSNs, results of AA existing in food package (FP) through time were successfully obtained.

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