Hassoun Abdo, Kamiloglu Senem, Garcia-Garcia Guillermo, Parra-López Carlos, Trollman Hana, Jagtap Sandeep, Aadil Rana Muhammad, Esatbeyoglu Tuba
Univ. Littoral Côte d'Opale, UMRt 1158 BioEcoAgro, USC ANSES, INRAe, Univ. Artois, Univ. Lille, Univ. Picardie Jules Verne, Univ. Liège, Junia, F-62200 Boulogne-sur-Mer, France; Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France.
Department of Food Engineering, Faculty of Agriculture, Bursa Uludag University, 16059 Gorukle, Bursa, Turkey; Science and Technology Application and Research Center (BITUAM), Bursa Uludag University, 16059 Gorukle, Bursa, Turkey.
Food Chem. 2023 May 30;409:135303. doi: 10.1016/j.foodchem.2022.135303. Epub 2022 Dec 23.
Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0) technologies to ensure food authenticity, safety, and high food quality. Growing interest in food traceability has led to the development of a wide range of chemical, biomolecular, isotopic, chromatographic, and spectroscopic methods with varied performance and success rates. This review will give an update on the application of Traceability 4.0 in the fruits and vegetables sector, focusing on relevant Industry 4.0 enablers, especially Artificial Intelligence, the Internet of Things, blockchain, and Big Data. The results show that the Traceability 4.0 has significant potential to improve quality and safety of many fruits and vegetables, enhance transparency, reduce the costs of food recalls, and decrease waste and loss. However, due to their high implementation costs and lack of adaptability to industrial environments, most of these advanced technologies have not yet gone beyond the laboratory scale. Therefore, further research is anticipated to overcome current limitations for large-scale applications.
食品可追溯性4.0是指应用第四次工业革命(即工业4.0)技术来确保食品的真实性、安全性和高品质。人们对食品可追溯性的兴趣日益浓厚,促使各种性能和成功率各异的化学、生物分子、同位素、色谱和光谱方法得以发展。本综述将介绍可追溯性4.0在水果和蔬菜领域的应用进展,重点关注相关的工业4.0使能技术,尤其是人工智能、物联网、区块链和大数据。结果表明,可追溯性4.0在提高许多水果和蔬菜的质量与安全性、增强透明度、降低食品召回成本以及减少浪费和损失方面具有巨大潜力。然而,由于这些先进技术实施成本高昂且对工业环境缺乏适应性,大多数技术尚未超越实验室规模。因此,预计需要进一步研究以克服当前大规模应用的局限性。