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Foods is an international, peer-reviewed, open access journal on food science published semimonthly online by MDPI. The Italian Society of Food Sciences (SISA) and Spanish Nutrition Foundation (FEN) are affiliated with Foods and their members receive discounts on the article processing charges.
Foods (ISSN 2304-8158) is an international, peer-reviewed scientific open access journal that provides an advanced forum for studies related to all aspects of food research, with major emphasis on the “science of food”.
Individual journal guidelines can be found at the journal ‘Instructions for Authors’ page. Data sharing policies concern the minimal dataset that supports the central findings of a published study.
Innovations to reshape global food systems through improving local food-production capabilities, enabling infrastructure for agricultural innovation, and facilitating knowledge flow as well as technology dissemination are necessary to curb food shortages and security.
This study aimed to evaluate the relative validity of intake of energy, nutrients and food groups assessed with MijnEetmeter food diary as compared to 24-h dietary recalls, and if this differed between experienced and new users.
Website. Department of the Science of Agriculture, Food and Environment (SAFE), University of Foggia, Foggia, Italy. Interests: 3D food printing; personalized nutrition; food science and technology; functional foods; food waste; novel foods; nutrition; coffee; cereals; reducing sugars in foods.
Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Valid and useful dietary assessment methods for adolescents with type 1 diabetes (T1D) are needed. In this study, we compared an image-based method with a written food diary for dietary intake estimation among adolescents with T1D and evaluated the adolescents’ experiences of the methods.
The present paper provides an insight into the complex and multifactorial nature of individual food choice by analyzing factors included in conceptual models. The early development of conceptual models of food choice can be dated back to the 1990s. There were three main types of models.
The measurement of calorie compensation in free-living conditions has largely remained unexplored. This paper proposes a methodology that leverages extensive app-based observational food diary data to measure an individual’s calorie compensation profile in free-living conditions.