Food Science at IgMin Research | Medicine Group
We aim to foster scientific connections that strengthen interdisciplinary knowledge.
About
Food Science is an interdisciplinary field that focuses on the study of the physical, chemical, and biological properties of food. This dynamic discipline investigates the processes involved in food production, preservation, safety, and quality, aiming to enhance nutritional value and ensure consumer health. Researchers in Food Science explore innovative techniques for food processing, packaging, and storage, contributing to the development of healthier and more sustainable food systems.
The study of Food Science integrates principles from biology, chemistry, and engineering to address challenges related to food safety, nutrition, and sustainability. By leveraging advancements in technology and scientific research, this field plays a crucial role in developing functional foods, fortifying dietary products, and improving food quality. Innovations in Food Science are essential for addressing global food security, reducing waste, and promoting healthier diets.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- Homologous Series of Chemical Compounds in Three-component Systems (Aa+ – Bb+ – Cc–) and (Zn2+ - Ge4+ - P3-) in Generalized Form
- Abrasive Wear in Some High Fe-Cr-C Alloy in Cement Powder
- Ammonia: A Trend of Dry Deposition in Vietnam
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- Melanocytic Nevi Classification using Transfer Learning
