About this Research Topic
Food analysis is the discipline pertaining to the development and application of analytical approaches to guarantee the safety, quality, traceability, and nutritional value of foods in order to comply with legislation and meet rapidly changing consumer demands. Technology advancement has made it feasible to count on analytical instruments and methodological developments that were unthinkable few decades ago. Therefore, researchers in food science and nutrition are being pushed to move from conventional methodologies to novel analytical strategies, leading to significant enhancements in analytical accuracy, precision, detection limits, and sample throughput, thereby expanding the practical range of food applications.
Modern analytical techniques (e.g., near-infrared hyperspectral imaging, mass spectrometry, nuclear magnetic resonance, metabolomics, biosensor and nanotechnology, proteomics, Raman spectroscopy, etc.) have already shown the tremendous possibilities to speed up the resolution of food safety issues, prevent food fraud for authentication, certification, and traceability purposes, and to understand at molecular level the bioactivity of food and food ingredients. A number of innovative technologies have been proposed, investigated, developed and, in some cases, commercialized to rapidly and effectively determine the nutritional properties of the food product. In addition, the rise of artificial intelligence, data analytics provide enormous opportunities to boost the future food analysis. Surely, many challenges still remain unresolved with continuously new demands emerging in this research area, implying the complexity of this discipline.
This Research Topic will bring together original and high-quality contributions on new developments and applications of advanced and emerging analytical approaches, which can lead to advancements in future translational research in food science and nutrition for human health.
This Research Topic should attract state-of-the-art studies that will exploit the frontier of the food analysis benefitting from the advanced techniques and methods. Specific topics include (but are not limited to) the following:
(1) Recent trends in sample preparation and emerging technologies for food analysis.
(2) Research advances on hyperspectral imaging techniques.
(3) Development of multidisciplinary approach.
(4) Process analytical technology.
(5) Data analysis advances, e.g., chemometrics, machine learning algorithms, data fusion.
(6) Food safety, authenticity, and traceability.
(7) Innovative applications on food chemistry and toxicology.
(8) Analysis of food-derived bioactive analysis and their biological activity evaluation.
(9) Detection of pathogen and chemical residue contamination.
Based on this premise, both Research and Review articles are considered acceptable.
We would also like to acknowledge that Dr. Yuanyuan Pu (Teagasc (the Irish Agriculture and Food Development Authority), Moorepark Food Research Center, Fermoy, Co. Cork, Ireland) acted as a Topic Coordinator and has contributed to the preparation of the proposal of this Research Topic.
Modern analytical techniques (e.g., near-infrared hyperspectral imaging, mass spectrometry, nuclear magnetic resonance, metabolomics, biosensor and nanotechnology, proteomics, Raman spectroscopy, etc.) have already shown the tremendous possibilities to speed up the resolution of food safety issues, prevent food fraud for authentication, certification, and traceability purposes, and to understand at molecular level the bioactivity of food and food ingredients. A number of innovative technologies have been proposed, investigated, developed and, in some cases, commercialized to rapidly and effectively determine the nutritional properties of the food product. In addition, the rise of artificial intelligence, data analytics provide enormous opportunities to boost the future food analysis. Surely, many challenges still remain unresolved with continuously new demands emerging in this research area, implying the complexity of this discipline.
This Research Topic will bring together original and high-quality contributions on new developments and applications of advanced and emerging analytical approaches, which can lead to advancements in future translational research in food science and nutrition for human health.
This Research Topic should attract state-of-the-art studies that will exploit the frontier of the food analysis benefitting from the advanced techniques and methods. Specific topics include (but are not limited to) the following:
(1) Recent trends in sample preparation and emerging technologies for food analysis.
(2) Research advances on hyperspectral imaging techniques.
(3) Development of multidisciplinary approach.
(4) Process analytical technology.
(5) Data analysis advances, e.g., chemometrics, machine learning algorithms, data fusion.
(6) Food safety, authenticity, and traceability.
(7) Innovative applications on food chemistry and toxicology.
(8) Analysis of food-derived bioactive analysis and their biological activity evaluation.
(9) Detection of pathogen and chemical residue contamination.
Based on this premise, both Research and Review articles are considered acceptable.
We would also like to acknowledge that Dr. Yuanyuan Pu (Teagasc (the Irish Agriculture and Food Development Authority), Moorepark Food Research Center, Fermoy, Co. Cork, Ireland) acted as a Topic Coordinator and has contributed to the preparation of the proposal of this Research Topic.
Keywords: Emerging technologies for food analysis, Process analytical technology, Data analytics for food, Food safety, Authenticity, Traceability, Bioactive characterisation, Applications on food chemistry and toxicology, Foodborne pathogen detection
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.
