Search
Innovative processes in smart packaging. A systematic review

March 13, 2022 | Journal of the Science of Food and Agriculture | Source |

 

Introduction: Food loss and waste are major environmental concerns, contributing to 29% of global GHG emissions, with especially high levels at the consumer stage. To address this, researchers from the University of Beira Interior and Center for Mechanical and Aerospace Science and Technologies (C-MAST) in Portugal conducted a PRISMA-based review of 108 studies on smart packaging across agro-industrial sectors. While meat and general topics dominated the literature, the review identified notable research gaps in dairy, fruits and vegetables, and particularly bakery and pastry—sectors needing targeted innovation due to unique commercial or technical constraints.

 

Key findings: Unlike active packaging, which directly interacts with food to extend its shelf life, smart packaging focuses on monitoring and communicating product conditions without altering the product itself. The study identified Time Temperature Indicators (TTIs), freshness indicators (monitoring microbial metabolites), gas indicators, sensors (physical, chemical, and biosensors), and data carriers (QR codes and RFID tags) as effective smart packaging technologies. TTIs were found to be especially cost-effective and broadly applicable, offering a clear indication of temperature history and food quality. Meanwhile, QR codes and RFID tags demonstrated strong potential for enhancing traceability, preventing fraud, optimizing logistics, and engaging consumers through features like augmented reality.

The review identified challenges such as sensor affordability, complex RFID integration, and the need for progress in printed electronics and biosensor miniaturization. It highlighted the value of synergistic technologies—like RFID with humidity, pH, and temperature sensors—for more effective monitoring. Chipless RFID emerged as a promising, low-cost alternative, though further advances in materials and printing are needed. Future research should address these gaps to improve the scalability and effectiveness of smart packaging for sustainable agrifood systems.

Figure | Food loss and waste in various stages of the food supply chain. Adapted from Chen et al.

Viewed Articles
Innovative processes in smart packaging. A systematic review
March 13, 2022 | Journal of the Science of Food and Agriculture | Source |  Introduction: Food loss and waste are major environmental concerns, contributing to 29% of global GHG emissions, with especi
Read More
Prediction-based breeding: Modern tools to optimize and reshape programs
October 09, 2025 | Crop Science |  Introduction: Traditional plant breeding often prioritizes explanatory models to understand biological mechanisms, which can limit the generalizability of selection
Enhancing energy autonomy of greenhouses with semi-transparent photovoltaic systems through a comparative study of battery storage systems
January 17, 2025 | Scientific Reports | Introduction: Greenhouses require stable energy supplies for maintaining optimal environmental conditions, yet their heavy reliance on grid electricity increase
Reinforcement learning-based model predictive control for greenhouse climate control
March, 2025 | Smart Agricultural Technology | Introduction: Model predictive control (MPC) is a promising approach for greenhouse climate management, but its reliance on accurate prediction models mak
A hybrid sustainability performance measurement approach for fresh food cold supply chains
April 20, 2023 | Journal of Cleaner Production | Source |  Introduction: Fresh food cold supply chains (CSCs) in developing countries face major sustainability issues, including food waste, high energ
Agentic artificial intelligence-driven digital twin for real-time irrigation control with fuzzy sustainability objectives
April 15, 2026 | IJOCTA | Introduction: Real-time irrigation management faces a fundamental challenge: existing frameworks typically use either static optimization models or reactive threshold-based c
TOP