Food safety and consumer health are seriously threatened by food adulteration worldwide. The future of optical approaches in overcoming this obstacle is examined in this chapter. We explore the possibilities of cutting-edge technology like quantum dots, terahertz spectroscopy, and hyperspectral imaging (HIS) as well as the revolutionary potential of artificial intelligence (AI), including machine learning and deep learning techniques. The importance of multidisciplinary research, teamwork, and tackling issues like data privacy and regulatory compliance are all covered in this chapter. We can create a more robust and sustainable food system and guarantee that everyone has access to wholesome food by utilizing the potential of these cutting-edge technologies.

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The Future of Optical Techniques in Food Adulteration Detection

  • Rajib Biswas

摘要

Food safety and consumer health are seriously threatened by food adulteration worldwide. The future of optical approaches in overcoming this obstacle is examined in this chapter. We explore the possibilities of cutting-edge technology like quantum dots, terahertz spectroscopy, and hyperspectral imaging (HIS) as well as the revolutionary potential of artificial intelligence (AI), including machine learning and deep learning techniques. The importance of multidisciplinary research, teamwork, and tackling issues like data privacy and regulatory compliance are all covered in this chapter. We can create a more robust and sustainable food system and guarantee that everyone has access to wholesome food by utilizing the potential of these cutting-edge technologies.