Browsing by Author "Aadil, Rana Muhammad"

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    Food quality 4.0: From traditional approaches to digitalized automated analysis
    (Elsevier, 2022-08-01) Hassoun, Abdo; Jagtap, Sandeep; Garcia-Garcia, Guillermo; Trollman, Hana; Pateiro, Mirian; Lorenzo, José M.; Trif, Monica; Rusu, Alexandru; Aadil, Rana Muhammad; Šimat, Vida; Cropotova, Janna; Câmara, José S.
    Food quality has recently received considerable attention from governments, researchers, and consumers due to the increasing demand for healthier and more nutritious food products. Traditionally, food quality is determined using a range of destructive and time-consuming approaches with modest analytical performance, underscoring the urgent need to develop novel analytical techniques. The Fourth Industrial Revolution (called Industry 4.0) is progressing exponentially, driven by the advent of a range of digital technologies and other innovative technological advances. “Food Quality 4.0” is a new concept referring to the use of Industry 4.0 technologies in food analysis to achieve rapid, reliable, and objective assessment of food quality. In this review, we will first discuss the fundamentals and principles of Food Industry 4.0 technologies and their connections with the Food Quality 4.0 concept. Then, the most common techniques used to determine food quality will briefly be reviewed before highlighting the advancements made in analytical techniques to assess food quality in the era of Industry 4.0. Food Quality 4.0 is characterized by growing digitalization and automation of food analysis using the most advanced technologies in the food industry. Key aspects of Food Quality 4.0, including, among others, non-destructive fingerprinting techniques, omics technologies and bioinformatics tools, Artificial Intelligence and Big Data, have great potential to revolutionize food quality. Although most of these technologies are still under development, it is anticipated that future research will overcome current limitations for large-scale applications.
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    Implementation of relevant fourth industrial revolution innovations across the supply chain of fruits and vegetables: a short update on Traceability 4.0
    (Elsevier, 2022-12-29) Hassoun, Abdo; Kamiloglu, Senem; Garcia-Garcia, Guillermo; Parra-López, Carlos; Trollman, Hana; Jagtap, Sandeep; Aadil, Rana Muhammad; Esatbeyoglu, Tuba
    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.