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  • 25 days
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Beverages

Beverages is an international, peer-reviewed, open access journal on beverage research and development published monthly online by MDPI.

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All Articles (1,075)

  • Article
  • Open Access

Preliminary Characterization of Fermented Skim Goat Milk Beverages with Differently Processed Millet

  • Laura Abubakirova,
  • Tamara Tultabayeva and
  • Assem Sagandyk
  • + 2 authors

Cereal-derived ingredients offer one approach to diversifying fermented dairy beverages, yet their incorporation into skim goat milk systems remains insufficiently characterized. This exploratory study characterized four fermented skim goat milk formulations, each represented by a single production batch: a millet-free control (C), O1 containing sprouted millet dried at 38 °C, O2 containing sprouted millet subjected to wok thermal treatment, and O3 containing a commercially processed non-sprouted millet ingredient. The millet ingredients were incorporated after fermentation at an addition rate of 10 g per 100 mL of fermented milk base. Physicochemical characteristics, rheological profiles, microbial counts, and volatile profiles were determined, with HS-SPME-GC-MS used for volatile analysis. Moisture content was 92.1% in C and 80.9–83.8% in the millet-containing formulations, whereas water activity remained high and varied only slightly, from 0.9945 to 0.9971. The recorded rheological profiles displayed shear-thinning behavior; however, substantial technical variability occurred in the low-shear region and these observations were not used to establish formulation-specific rheological advantages. Presumptive streptococci were present at 7.43–8.08 log CFU/mL and lactobacilli at 8.08–8.39 log CFU/mL. In the analyzed batches, O1 showed the highest normalized relative peak areas of tentatively assigned 2,3-butanedione (18.66%) and nonanal (9.58%), whereas O2 showed the highest normalized relative peak areas of tentatively assigned octanoic acid (25.77%) and decanoic acid (22.20%). The four formulations displayed different batch-specific analytical profiles. Because each formulation was produced as a single batch, the observations cannot be interpreted as reproducible treatment effects and require confirmation using independently produced batches.

Beverages

7 November 2026

Apparent-viscosity profiles of C, O1, O2, and O3. The individual curves represent three consecutive technical measurements performed on the same loaded aliquot. Three non-positive instrument-recorded apparent-viscosity observations could not be displayed on the logarithmic axes. No values were replaced or estimated. No smoothing or interpolation was applied. (A): C (Control); (B): O1 Sample; (C): O2 Sample; (D): O3 Sample.
  • Review
  • Open Access

This review presents the scientific and technical aspects of mead production, focusing on honey characterization, medieval and modern mead production and sensory profiles. It highlights the challenges and potential opportunities for optimization of mead production, emphasizing the need for further research into honey’s chemical properties and their influence on mead’s sensory attributes. However, the bioactive profile, aroma composition (flavor), taste, health-promoting properties and overall quality of alcoholic mead composition have been scarcely studied. Moreover, this review also covers the characterization of the production process for low-alcohol mead and studies related to the sensory evaluation of mead. The study concludes that understanding these constituents and technological steps is crucial for enhancing mead quality and consumer appeal.

Beverages

6 November 2026

The primary technological steps in mead production.
  • Article
  • Open Access

Franchise coffee shops now offer an increasingly diverse beverage portfolio with substantial variation in nutritional composition. However, cross-brand comparisons remain difficult because products are commonly organized according to proprietary menu names and marketing concepts rather than standardized nutritional attributes. This study developed and applied a standardized beverage classification framework based primarily on beverage ingredients and preparation characteristics to examine nutritional variation both within and across beverage categories. Nutritional information for 3586 beverages from 31 major franchise coffee brands was obtained from official websites. Beverages were systematically assigned to 10 standardized categories according to their ingredients and preparation methods. Serving size and per-serving contents of energy, total sugar, protein, saturated fat, sodium, and caffeine were analyzed and compared across beverage categories and between matched hot and iced products. All nutritional variables differed significantly among beverage categories (all p < 0.001). However, substantial within-category variability was also observed. For example, total sugar content among coffee beverages ranged from 13.0 g/serving at the 25th percentile to 48.0 g/serving at the 90th percentile. The findings demonstrate substantial nutritional variation both between and within standardized beverage categories, indicating that beverages sharing similar ingredient and preparation characteristics do not necessarily have similar nutritional profiles. The proposed framework provides a transparent and reproducible taxonomy for organizing heterogeneous beverage products across brands and may facilitate nutritional surveillance and comparative research.

Beverages

2 November 2026

Flow chart of brand selection, beverage selection, data extraction, data cleaning, classification, and quality control used to construct the final analytical dataset.
  • Article
  • Open Access

Protected Designations of Origin (PDOs) are a cornerstone of the European wine sector, supporting quality, identity, and reputation. However, declining consumption and global competition threaten these systems, especially in mature markets. This pilot study explores how institutional design, production capacity, and strategic positioning influence regional wine competitiveness. Using a qualitative System Dynamics (SD) approach based on Causal Loop Diagram (CLD) analysis of literature and secondary data, it examines the hypothetical integration of the Franciacorta DOCG and the Oltrepò Pavese Metodo Classico DOC, two prominent Italian wine appellations in northern Lombardy, into a unified system named here “Grande Franciacorta”. The resulting CLD is hypothesis-generating and identifies hypothesized feedback mechanisms: reinforcing loops of branding, production capacity, and organizational capability, constrained by balancing loops of land availability, perceived exclusivity, and institutional resistance. It suggests that regulatory coordination alone may be insufficient and that early, coordinated investment in branding may be necessary to stimulate self-reinforcing growth, provided that governance aligns stakeholders, manages expansion, and preserves premium exclusivity. We did not run a stock-and-flow simulation or empirical test; the results are propositions for future quantitative assessment. The contribution shows how the timing of reputation-building and capacity expansion interacts with territorial and institutional constraints, with implications for geographical-indication policy and regional governance. The paper advances the policy debate on geographical indications by proposing a dynamic framework for adapting PDO systems to market shifts, with implications for regional governance and wine-sector development.

Beverages

1 November 2026

Production areas of the Franciacorta DOCG and of Oltrepò Pavese (DOC and Metodo Classico DOCG).

Featured Articles of Last Quarter

Quantitative volatile aroma composition for each class of substances in old-vine genotypes (Barbarossa Etna, Madama Nera, Minnella Nera, Moscatella Nera, and Terribile) and reference (Cabernet Sauvignon, Nerello Cappuccio, and Nerello Mascalese) wine samples. All values are expressed as mean ± standard deviation (n = 3). Different letters within each panel indicate significant differences among genotypes (Tukey’s HSD, p &lt; 0.05).

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Beverages - ISSN 2306-5710