About this Research Topic
The earth provides abundant foods to meet the daily needs of human beings. Food safety and quality is a major concern of humans due to the increasing public awareness of health. Foods are susceptible to various biological and chemical contaminants. Detection methods including enzyme-linked immunosorbent assay (ELISA) and gas chromatography-mass spectrometry (GC-MS) are very accurate, but these techniques are time-consuming, laborious, expensive, and destructive. Therefore, it is necessary to develop efficient and convenient methods to ensure food safety in real-time. Advances in sensors have facilitated the development of new materials, devices, and multifunctional sensing systems to monitor food quality. The rapid development of optical sensing technology provides new opportunities for applying spectral sensing and imaging techniques for food safety and quality inspection.
This Research Topic will focus on all aspects of optical sensing for measuring quality attributes of different food and agricultural products. Related technologies have been closely integrated with advanced data mining and deep learning methods in recent years in sensing different quality characteristics of various foods. We look forward to research achievements related to developments and applications of different optical sensing techniques and the latest algorithms.
We accept original research articles and literature review articles on innovative research outcomes using optical sensing techniques such as spectroscopy, color imaging, hyperspectral imaging, multispectral imaging, and fluorescence imaging, to realize food safety and quality determination in a non-destructive manner. Manuscript themes may include but are not limited to the following:
• Sensors;
• Detection of biohazards in foods;
• Identification of food authenticity;
• Evaluation of food nutrients or bioactive components;
• Computer vision;
• Spectroscopy;
• Deep learning algorithms.
This Research Topic will focus on all aspects of optical sensing for measuring quality attributes of different food and agricultural products. Related technologies have been closely integrated with advanced data mining and deep learning methods in recent years in sensing different quality characteristics of various foods. We look forward to research achievements related to developments and applications of different optical sensing techniques and the latest algorithms.
We accept original research articles and literature review articles on innovative research outcomes using optical sensing techniques such as spectroscopy, color imaging, hyperspectral imaging, multispectral imaging, and fluorescence imaging, to realize food safety and quality determination in a non-destructive manner. Manuscript themes may include but are not limited to the following:
• Sensors;
• Detection of biohazards in foods;
• Identification of food authenticity;
• Evaluation of food nutrients or bioactive components;
• Computer vision;
• Spectroscopy;
• Deep learning algorithms.
Keywords: food quality, food safety, optical sensor, computer vision, machine learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
