You are currently viewing a new version of our website. To view the old version click .

Foods

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.
Indexed in PubMed | Quartile Ranking JCR - Q1 (Food Science and Technology)

All Articles (23,569)

The quality of rice depends on physical, nutritional, and sensory attributes. However, in industrial practice, quality is predominantly based on physical characteristics evaluated by the conventional method for categorizing commercial atches. In this context, the present study aimed to characterize the physical quality and proximate composition and to classify commercial batches of polished white rice using machine learning (ML) algorithms based on spectral data. Individual samples (healthy grains and physical defects) and samples from commercial batches (Type 1 to Type 5 and Off-Type) were analyzed and prepared in accordance with current legislation. Spectral data were obtained using NIR and hyperspectral measurements covering the VIS/NIR/SWIR regions, and proximate composition was determined for moisture (MOI), starch (ST), protein (PRO), lipids (LIP), fiber (FIB), and ash (ASH). Multivariate analyses and ML classification models were applied to evaluate differences among grain types and commercial categories and to assess the discriminatory capacity of spectral information. The results showed that including physicochemical attributes to evaluate the quality of commercial batches simplifies the commercial categories currently used. For spectral behavior, batches classified as Type 1 and Type 2 showed low reflectance in the NIR and SWIR regions, suggesting greater interaction of radiant energy with compounds associated with nutritional and sensory quality. The MLP, LGBM, CAT, XGB and RF models performed best for the classification of commercial white polished rice batches, with metrics above 95%. The SWIR region, especially the 2173 nm spectral point, demonstrated high discriminatory power. In conclusion, the application of machine learning models based on VIS/NIR/SWIR spectroscopy proved highly efficient for classifying commercial batches of polished white rice, integrating physical and physicochemical attributes of the grains.

24 December 2025

Experimental operations performed: (A) sample collection; (B) conventional physical analysis; (C) compositional analysis using NIR; (D) acquisition of spectral curves; (E) application of ML algorithms for classification.

This study aimed to develop a dietary fiber-rich Antarctic krill composite shrimp surimi gel (AKSG) and to investigate the improvement effects of high protein (HP), high protein and dietary fiber (HPDF), and high dietary fiber (HDF) diet interventions on constipation behaviors and gut microbiota of mice. The results showed that the HPDF group significantly improved defecation in constipated mice, enhanced gastrointestinal peristalsis, and exhibited the most obvious effect on improving the colonic structure. The gut microbial analysis showed that the HPDF group increased the relative abundance of beneficial bacteria and improved the intestinal microbial environment of constipated mice. In addition, all groups effectively regulated the secretion of intestinal neurotransmitters. Inulin significantly increased the fecal water content by binding to water molecules, thus softening feces. Meanwhile, the addition of an appropriate amount of protein could further absorb water in the intestinal tract and relieve constipation. In conclusion, dietary fiber-rich AKSG might be a promising nutritious functional food for constipation relief.

24 December 2025

Hardness of AKSG with different addition amounts of inulin (A), ADSP (B), EWP (C), SA (D), and Lys (E). Values of different groups with different lower case letters (a–d) are significantly different at p < 0.05.

Despite the increasing global consumption of dietary supplements (DS) and the growing interest in complementary and alternative medicine (CAM), there is a significant gap in evidence-based knowledge and understanding of these practices among university students, particularly those in non-health-focused programs. This gap may lead to misconceptions, misuse, and unsafe practices, which necessitate targeted educational interventions. The presented cross-national comparative study assessed knowledge of DS and attitudes towards CAM among 809 university students from Croatia and Slovenia, including health-focused and non-health-focused study programs by use of validated questionnaires. The study integrated DS and CAM within the same analytical framework. Assessed knowledge on DS was moderate, with an average of 71.2% correct answers. Slovenian students from health-focused studies achieved the highest scores, while Croatian students from non-health focused studies scored the lowest values. Misconceptions persisted across all groups, while usage of supplements was widespread. Attitudes toward CAM were overall mildly positive, where Slovenian students from health-focused studies reported the most favorable views. Attitudes were more strongly associated with supplement use than with knowledge, indicating that personal experience and cultural context shape perceptions more than formal education. Our findings challenge the usual assumption that higher knowledge automatically leads to rational health decisions.

24 December 2025

Relative frequency (%) of: usage of herbs, (A), probiotics, (B), vitamins and minerals, (C), and other supplements, (D).
  • Systematic Review
  • Open Access

Metabolic syndrome (MetS) and its associated conditions, namely, type 2 diabetes mellitus (T2DM), non-alcoholic fatty liver disease (NAFLD), obesity, and polycystic ovary syndrome (PCOS) are characterized by insulin resistance, dyslipidemia, and low-grade inflammation. Curcumin, a polyphenolic compound derived from Curcuma longa Linn., exhibits pleiotropic metabolic and anti-inflammatory properties and has thus been evaluated as a nutraceutical intervention for these conditions, but findings remain inconsistent. This systematic review and meta-analysis evaluated the clinical efficacy of Curcuma longa supplementation on anthropometric, glycemic, lipid, inflammatory, and oxidative stress parameters in adults with MetS or related disorders. A comprehensive search of databases (PubMed, Scopus, AMED, LILACS, and Google Scholar) identified 104 eligible randomized controlled trials (RCTs). The included trials primarily assessed standardized oral turmeric/curcumin supplements and bioavailability-enhanced formulations rather than whole culinary turmeric. Pooled standardized mean differences (SMDs) with 95% confidence intervals (CIs) were computed using random-effects models. Subgroup analyses were conducted by disease category, dose, and formulation. Risk of bias was assessed using the Cochrane RoB 2 tool. Curcumin supplementation significantly reduced fasting blood sugar (SMD = −0.54, 95% CI −0.72 to −0.36) and HbA1c (SMD = −0.41, 95% CI −0.60 to −0.23) in T2DM; decreased triglycerides (SMD = −0.48; 95% CI: −0.70 to −0.25), and LDL cholesterol (SMD = −0.39; 95% CI: −0.59 to −0.18) while elevating HDL cholesterol (SMD = 0.45; 95% CI: 0.25 to 0.65) and total antioxidant capacity (SMD = 0.73; 95% CI: 0.51 to 0.94). Curcuma longa also attenuated systemic inflammation, lowering C-reactive protein (SMD = −0.62; 95% CI: −0.81 to −0.43), TNF-α (SMD = −0.57; 95% CI: −0.80 to −0.34), and IL-6 (SMD = −0.50; 95% CI: −0.70 to −0.29). Heterogeneity was moderate-to-high, reflecting some differences in the formulation, dosage, and duration. Collectively, these findings affirm that Curcuma longa exerts measurable, clinically relevant improvements on glycemic regulation, lipid metabolism, and inflammatory−oxidative balance, supporting its role as a nutraceutical adjunct in metabolic health management, while its bioavailability-enhanced formulations show superior efficacy. Larger, long-term, multicenter RCTs are warranted to confirm durability, optimal dosing, and safety.

24 December 2025

PRISMA flow diagram of the systematic review process.

News & Conferences

Issues

Open for Submission

Editor's Choice

Reprints of Collections

Edible Fungi
Reprint

Edible Fungi

Processing, Storage Preservation, Disease Control, and Potential Bioactivities
Editors: Demei Meng, Fansheng Cheng
Cereals and Cereal-Based Foods
Reprint

Cereals and Cereal-Based Foods

Nutritional, Phytochemical Characterization and Processing Technologies
Editors: Donatella Bianca Maria Ficco, Grazia Maria Borrelli

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Foods - ISSN 2304-8158