Mass spectrometry (MS) is a leading contributing technology applied in food analysis. The powerful analytical capacity at the molecular level and copious features enabled different types of MS (e.g., liquid chromatography-electrospray ionization-MS, matrix-assisted laser desorption/ionization-time of flight-MS and inductively coupled plasma-MS) to be used in food nutrients' analysis, harmful substances’ detection, and public health associated food safety study, etc. Modern food processing technologies have made food products with more complex and diverse components, and therefore, studies related to the accurate identification, quantification, and transformation of food components are crucial. In this circumstance, as an indispensable analytical tool, MS will play a more and more important role.
This research topic aims to publish high-quality results relating to MS-based food analytical research such as novel methods for the determination of nutrients (e.g., proteins and vitamins) and xenobiotics (e.g., pesticides and polyaromatic hydrocarbons) in foods, identification, quantification, and transformation characterization of emerging harmful substances in foods, and food safety assessment.
We welcome original research and review articles including (but not limited to) the following subjects:
• MS-based novel analytical approaches for nutrients and xenobiotics in foods;
• MS-based identification, quantification, and transformation characterization of emerging harmful substances (e.g., synthetic chemical additives and new environmental contaminants) in foods;
• MS-based exposome analysis of endogenous/exogenous hazardous substances in foods;
• Big data analysis of public health-associated food safety based on MS detection results.
Mass spectrometry (MS) is a leading contributing technology applied in food analysis. The powerful analytical capacity at the molecular level and copious features enabled different types of MS (e.g., liquid chromatography-electrospray ionization-MS, matrix-assisted laser desorption/ionization-time of flight-MS and inductively coupled plasma-MS) to be used in food nutrients' analysis, harmful substances’ detection, and public health associated food safety study, etc. Modern food processing technologies have made food products with more complex and diverse components, and therefore, studies related to the accurate identification, quantification, and transformation of food components are crucial. In this circumstance, as an indispensable analytical tool, MS will play a more and more important role.
This research topic aims to publish high-quality results relating to MS-based food analytical research such as novel methods for the determination of nutrients (e.g., proteins and vitamins) and xenobiotics (e.g., pesticides and polyaromatic hydrocarbons) in foods, identification, quantification, and transformation characterization of emerging harmful substances in foods, and food safety assessment.
We welcome original research and review articles including (but not limited to) the following subjects:
• MS-based novel analytical approaches for nutrients and xenobiotics in foods;
• MS-based identification, quantification, and transformation characterization of emerging harmful substances (e.g., synthetic chemical additives and new environmental contaminants) in foods;
• MS-based exposome analysis of endogenous/exogenous hazardous substances in foods;
• Big data analysis of public health-associated food safety based on MS detection results.
