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Advances in fingerprint and rapid methods for improved traceability in agri-food supply chains

Code: 9781801463416
Daniel Cozzolino, Heather E. Smyth and Yasmina Sultanbawa, ARC Industrial Transformation Training Centre for Uniquely Australian Foods and Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Australia

Chapter synopsis: Agri-food supply and value chain markets have become increasingly complex due to the changes in consumers demands, the development of complex food standards associated with food safety and quality, advances in technology (e.g. big data, machine learning), and changes in the food industry structure. However, recent issues related to food authenticity, adulteration, fraud, mislabelling, traceability and provenance have added a new dimension to consumers’ concerns, and food industry and regulatory bodies worldwide. The incorporation of sensing technologies combined with data analytics, are determining a paradigm shift in the way food ingredients and foods are both evaluated and monitored. This chapter discusses the utilisation of data analytics and sensing technologies to address issues related with food authenticity, adulteration, fraud, traceability and provenance in the food supply and value chains. In particular, this chapter will focus on the use of rapid analytical methods based in vibrational spectroscopy in combination with data analytics.

DOI: 10.19103/AS.2021.0097.21
Table of contents 1 Introduction 2 The addition and creation of value – food traceability, authenticity and provenance 3 Artificial intelligence, machine learning – data analytics 4 Rapid analytical methods and sensing techniques 5 Case study 6 Summary and future trends 7 Where to look for further information 8 Funding 9 References

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