Toward intelligent food packaging of biosensor and film substrate for monitoring foodborne microorganisms: A review of recent advancements

Abstract

Microorganisms in food do harms to human. They can cause serious adverse reactions and sometimes even death. So it is an urgent matter to find an effective method to control them. The research of intelligent- biosensor packaging is in the ascendant in recent years, which is mainly promoted by reflecting on food safety and reducing resource waste. Intelligent biosensor-packaging is an instant and efficient intelligent packaging technology, which can directly and scientifically manifest the quality of food without complex operation. In this review, the purposes of providing relevant information on intelligent biosensor-packaging are reviewed, such as types of biosensors for monitoring foodborne microorganism, the suitable material for intelligent biosensor-packaging and design and fabrication of intelligent biosensor-packaging. The potential of intelligent biosensor-packaging in the detection of foodborne microorganisms is emphasized. The challenges and directions of the intelligent biosensor-packaging in the detection of foodborne pathogens are discussed. With the development of science and technology in the future, the intelligent biosensor-packaging should be commercialized in a real sense. And it is expected that commercial products can be manufactured in the future, which will provide a far-reaching approach in food safety and food prevention.

Highlights

• Several biosensors are suitable for the detection of food microorganisms.

• Plastic polymer is an excellent choice for the construction of intelligent biosensor packaging.

• Design and fabrication can lay the foundation for intelligent-biosensor packaging.

• Intelligent biosensor-packaging can realize fast and real-time detection of microorganisms in food.

Keywords:

• Biosensor
• foodborne microorganisms
• food safety
• intelligent package

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Natural Science Foundation of Hunan Province of China (2020JJ4278), the key program of Hunan Provincial Department of science and technology (2020WK2020), Scientific Research Fund of Hunan Provincial Education Department (21A0161), Central South University of Forestry and Technology Introduced Talent Research Startup Fund (2021YJ034 and 2021YJ014), and Program for Science & Technology Innovation Platform/Talents of Hunan Province (2019TP1029).