Submit to Special Issue Submit Abstract to Special Issue Review for Nutrients Propose a Special Issue

Journal Menu

Journal Browser

Advances in Technology for Dietary Assessment

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Benefits of Publishing in a Special Issue
Published Papers

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 4095

Share This Special Issue

Special Issue Editor

Dr. Dazhou Zhu

E-Mail Website
Guest Editor

Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100081, China
Interests: methods and standards for the detection; evaluation and identification of nutritional components of agricultural products; information technology for nutrition and health

Special Issue Information

Dear Colleagues,

With the continuous improvement in their living standards, consumers are shifting from being full and safe to being nutritious and healthy, paying more attention to the nutritional value and dietary health of food. The best way to scientifically analyze and evaluate the nutritional value of food and evaluate dietary structure has become a key link in nutritional intervention and consumption guidance. The emergence of information technology, omics technology, and new model animals provides new opportunities for the development and progress of dietary assessment technology. This Special Issue will delve into the new methods, models, technologies, and related applications for dietary nutrition assessment. We request original articles related to this topic, including research papers and reviews, with topics including, but not limited to, the following:

Methods, models, techniques, etc., for evaluating the nutritional quality of single dietary ingredients (ingredients, agricultural products);
Nutritional evaluation methods, models, techniques, etc., for processed and catering foods;
Dietary survey, dietary structure assessment methods, models, techniques, etc.;
Evaluation and analysis of dietary patterns in different regions and populations, as well as research on their relationship with human nutrition and health.

Dr. Dazhou Zhu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nutrients is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

dietary structure
dietary pattern
dietary survey
dietary assessment
nutritional quality
nutritional value
nutritional evaluation

Benefits of Publishing in a Special Issue

Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

12 pages, 657 KiB

Open AccessArticle

Study on the Differences in the Thirst-Quenching Effects of Different Beverages Supplemented Before Exercise: A Randomized Crossover Trial

by Jieying Gao, Yuchen Wang, Xiao Ren, Ying Nie, Yanmi Li, Yimin Zhang, Shuxian Huang and Dazhou Zhu

Nutrients 2025, 17(5), 760; https://doi.org/10.3390/nu17050760 - 21 Feb 2025

Viewed by 600

Abstract

Background/Objectives: Different beverages may vary in their effectiveness at quenching thirst. This study aims to explore the impact of pre-exercise consumption of different types of beverages on thirst relief, providing scientific evidence to guide the selection of the most suitable beverage type. Methods: A randomized crossover design was used, recruiting 13 healthy male college students as participants. Each participant completed five exercise trials, with a 7-day interval between trials. In random order, participants consumed 6 mL/kg body weight of water, carbonated beverage, juice, electrolyte drink, or tea before exercise in each trial. Blood, saliva, and urine samples were collected before and after exercise; body weight was measured, and thirst sensation was recorded. Results: Body weight significantly decreased in all groups post-exercise (p < 0.05), with no significant differences between the beverage groups (p > 0.05). Post-exercise, serum Na⁺ concentrations significantly decreased in all beverage groups, with the electrolyte drink group showing a significantly different change compared to the other groups (p < 0.05). Serum K⁺ concentrations significantly increased post-exercise only in the electrolyte drink group (p < 0.05). No consistent trend was observed in the changes in serum Ca²⁺ concentrations before and after exercise. Serum Cl⁻ concentrations post-exercise were significantly lower than pre-exercise in all groups except the electrolyte drink group (Group E) (p < 0.05). All five hydration protocols resulted in a decrease in plasma volume. There was no consistent pattern in the changes in urine osmolality before and after exercise. Salivary osmolality significantly increased post-exercise in all groups (p < 0.05). In terms of subjective thirst, the water supplementation group had the highest score. Conclusions: This study indicates that electrolyte drinks are more effective in maintaining physiological balance, while water is most effective in alleviating subjective thirst. The impact of different beverages on subjective thirst did not fully align with changes in physiological markers, suggesting that future research should comprehensively evaluate the relationship between subjective sensations and physiological changes. Full article

(This article belongs to the Special Issue Advances in Technology for Dietary Assessment)

► Show Figures

Figure 1

25 pages, 4070 KiB

Open AccessArticle

Integrating Metabolomics and Transcriptomics to Analyse and Reveal the Regulatory Mechanisms of Mung Bean Polyphenols on Intestinal Cell Damage Under Different Heat Stress Temperatures

by Yuchao Feng, Shu Zhang, Decheng Suo, Tianxin Fu, Ying Li, Zetong Li, Changyuan Wang and Xia Fan

Nutrients 2025, 17(1), 88; https://doi.org/10.3390/nu17010088 - 29 Dec 2024

Cited by 1 | Viewed by 1059

Abstract

Background/Objectives: Polyphenols represent a new strategy of dietary intervention for heat stress regulation. Methods: The metabolic and genetic effects of three heat stress-regulated mung bean polyphenols on mouse small intestinal epithelial Mode-k cells were investigated by metabolomics–transcriptomics correlation analysis at different heat stress levels. Results: Lipid metabolism, energy metabolism, and nervous system pathways were the key metabolic regulatory pathways. Under the heat stresses of 39 °C, 41 °C, and 43 °C, the key pathways regulated by mung bean polyphenols on intestinal epithelial Mode-k cells were choline metabolism, pyrimidine metabolism, and the retrograde endorphin signalling pathway in cancer, respectively. FoxO, Rap1, and PI3K-Akt signalling pathways were the key environmental regulatory signalling pathways. Mung bean polyphenols can alleviate heat stress-induced cells at 39 °C by inhibiting cell apoptosis and promoting lipid and amino acid accumulation. Mung bean polyphenols can alleviate the threat of cell death caused by heat stress at 41 °C by regulating heat shock proteins, inhibiting mitochondrial function and some nerve disease-related genes. The threat of cell death by heat stress at 43 °C can be alleviated by regulating nerve-related genes. Conclusions: This study confirmed that mung bean polyphenols can regulate heat stress. The results provide a reference for analysing the mechanism of dietary polyphenol regulating heat stress. Full article

(This article belongs to the Special Issue Advances in Technology for Dietary Assessment)

► Show Figures

Figure 1

22 pages, 3186 KiB

Open AccessArticle

Translational Algorithms for Technological Dietary Quality Assessment Integrating Nutrimetabolic Data with Machine Learning Methods

by Víctor de la O, Edwin Fernández-Cruz, Pilar Matía Matin, Angélica Larrad-Sainz, José Luis Espadas Gil, Ana Barabash, Cristina M. Fernández-Díaz, Alfonso L. Calle-Pascual, Miguel A. Rubio-Herrera and J. Alfredo Martínez

Nutrients 2024, 16(22), 3817; https://doi.org/10.3390/nu16223817 - 7 Nov 2024

Viewed by 1600

Abstract

Recent advances in machine learning technologies and omics methodologies are revolutionizing dietary assessment by integrating phenotypical, clinical, and metabolic biomarkers, which are crucial for personalized precision nutrition. This investigation aims to evaluate the feasibility and efficacy of artificial intelligence tools, particularly machine learning (ML) methods, in analyzing these biomarkers to characterize food and nutrient intake and to predict dietary patterns. Methods: We analyzed data from 138 subjects from the European Dietary Deal project through comprehensive examinations, lifestyle questionnaires, and fasting blood samples. Clustering was based on 72 h dietary recall, considering sex, age, and BMI. Exploratory factor analysis (EFA) assigned nomenclature to clusters based on food consumption patterns and nutritional indices from food frequency questionnaires. Elastic net regression identified biomarkers linked to these patterns, helping construct algorithms. Results: Clustering and EFA identified two dietary patterns linked to biochemical markers, distinguishing pro-Mediterranean (pro-MP) and pro-Western (pro-WP) patterns. Analysis revealed differences between pro-MP and pro-WP clusters, such as vegetables, pulses, cereals, drinks, meats, dairy, fish, and sweets. Markers related to lipid metabolism, liver function, blood coagulation, and metabolic factors were pivotal in discriminating clusters. Three computational algorithms were created to predict the probabilities of being classified into the pro-WP pattern. The first is the main algorithm, followed by a supervised algorithm, which is a simplified version of the main model that focuses on clinically feasible biochemical parameters and practical scientific criteria, demonstrating good predictive capabilities (ROC curve = 0.91, precision–recall curve = 0.80). Lastly, a reduced biochemical-based algorithm is presented, derived from the supervised algorithm. Conclusions: This study highlights the potential of biochemical markers in predicting nutritional patterns and the development of algorithms for classifying dietary clusters, advancing dietary intake assessment technologies. Full article

(This article belongs to the Special Issue Advances in Technology for Dietary Assessment)

► Show Figures

Journal Menu

Journal Browser

Advances in Technology for Dietary Assessment

Share This Special Issue

Special Issue Editor

Special Issue Information

Keywords

Benefits of Publishing in a Special Issue

Published Papers (3 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI