1. Assessing the potential of urban orchards, berry bushes, and apiaries for local food production and carbon mitigation in a small European CityRok Kamnik, 2025, izvirni znanstveni članek Opis: With the growing concentration of populations in urban centres, ensuring resilient and sustainable food systems has become a critical priority. Disruptions in food supply chains, particularly in small cities with limited logistical flexibility, can severely compromise food availability. In response, the utilisation of urban green spaces for food production has been increasingly recognised as a viable strategy to enhance local self-sufficiency while contributing to broader environmental goals. This study evaluated the potential for integrating urban orchards, berry bushes, and apiaries within the public green spaces of Maribor, a small Slovenian city with a total area of 40 km². Emphasis was placed on publicly owned or publicly accessible land—including municipal holdings, stateowned plots, and land managed by public companies—that remains underutilised yet suitable for edible landscaping. Using spatial analysis conducted through QGis, available green space was quantified and assessed for suitability in supporting fruit trees, edible shrubs, and beekeeping installations. Estimates were then derived for the number of fruit and berry seedlings that could be planted, the volume of potential fruit and honey yields, and the corresponding contribution to carbon dioxide reduction through enhanced urban vegetation and decreased food transport dependency. The results indicate that even fragmented and seemingly marginal green areas possess significant aggregate potential for improving local food resilience, fostering community engagement, and delivering measurable carbon mitigation benefits. Furthermore, urban food forests and community orchards were identified as multifunctional landscape interventions that not only enhance food security but also improve urban biodiversity, air quality, and residents’ mental well-being. These findings align with the European Union’s objectives for urban ecosystem efficiency and carbon neutrality by 2050 and underscore the importance of integrating edible green infrastructure into urban planning frameworks. The study contributes to the growing body of evidence supporting the role of decentralised, nature-based solutions in urban sustainability transitions.
Ključne besede: urban green infrastructure, urban orchards, edible landscaping, community food forests, local food resilience, urban apiaries, GIS-based spatial analysis
Objavljeno v DKUM: 13.08.2025; Ogledov: 0; Prenosov: 4
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2. Improving personalized meal planning with large language models: identifying and decomposing compound ingredientsLeon Kopitar, Leon Bedrač, Larissa Jane Strath, Jiang Bian, Gregor Štiglic, 2025, izvirni znanstveni članek Opis: Background/Objectives: Identifying and decomposing compound ingredients within meal plans presents meal customization and nutritional analysis challenges. It is essential for accurately identifying and replacing problematic ingredients linked to allergies or intolerances and helping nutritional evaluation. Methods: This study explored the effectiveness of three large language models (LLMs)—GPT-4o, Llama-3 (70B), and Mixtral (8x7B), in decomposing compound ingredients into basic ingredients within meal plans. GPT-4o was used to generate 15 structured meal plans, each containing compound ingredients. Each LLM then identified and decomposed these compound items into basic ingredients. The decomposed ingredients were matched to entries in a subset of the USDA FoodData Central repository using API-based search and mapping techniques. Nutritional values were retrieved and aggregated to evaluate accuracy of decomposition. Performance was assessed through manual review by nutritionists and quantified using accuracy and F1-score. Statistical significance was tested using paired t-tests or Wilcoxon signed-rank tests based on normality. Results: Results showed that large models—both Llama-3 (70B) and GPT-4o—outperformed Mixtral (8x7B), achieving average F1-scores of 0.894 (95% CI: 0.84–0.95) and 0.842 (95% CI: 0.79–0.89), respectively, compared to an F1-score of 0.690 (95% CI: 0.62–0.76) from Mixtral (8x7B). Conclusions: The open-source Llama-3 (70B) model achieved the best performance, outperforming the commercial GPT-4o model, showing its superior ability to consistently break down compound ingredients into precise quantities within meal plans and illustrating its potential to enhance meal customization and nutritional analysis. These findings underscore the potential role of advanced LLMs in precision nutrition and their application in promoting healthier dietary practices tailored to individual preferences and needs.
Ključne besede: artificial intelligence, food analysis, LLM, Ilama, GPT, mixtral, ingredient identification, ingredient decomposition, personalized nutrition, meal customization, nutritional analysis, dietary planning
Objavljeno v DKUM: 08.05.2025; Ogledov: 0; Prenosov: 2
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3. An Assessment of food value chains to identify gaps and make recommendations for further development: ǂA ǂ Slovenian case studyJernej Prišenk, Jernej Turk, Karmen Pažek, Črtomir Rozman, Andreja Borec, Nejc Zidar, 2024, izvirni znanstveni članek Opis: The content of this paper presents the research results of a three-year research project in which a multi-criteria evaluation model (according to the DEX methodology) was developed for the evaluation of three different food sectors (represented by a cattle breeding chain, a pig farming chain, and a milk production chain) with added value in Slovenia. Indicators for the assessment of the economically, socially, and environmentally sustainable development of food chains were taken into account. The data for the analysis, such as prices and costs of food, wage levels by sector, food miles and others, were obtained from various public services between 2020 and 2023. The final qualitative assessment of the food sectors was uniform (“average”), while the longest analysis of the results using the plus-minus-1 analysis method showed the reasons for such an assessment in individual sectors (such as the ratio between the price of agricultural products and the price of agricultural inputs is poor, the ratio between average gross salary in the individual food sector and gross salary in the agricultural sector is poor, etc.). In addition to the results already mentioned, recommendations or suggestions for building a sustainable food chain were made using the results of the modelling. The research results contributed to a better understanding of the importance of stable relationships between different groups of indicators and later showed their importance for improving the functioning of agri-food chains. The results of the research will help various stakeholders (such as the agricultural advisory service, decision-makers at the level of agricultural policy, researchers in further analyses, and especially the international professional public interested in various case studies from EU countries) to further analyse and plan for the organisation of the agricultural sector.
Ključne besede: food sectors, value added, DEX methodology, plus-minus-1 analysis, Slovenia
Objavljeno v DKUM: 29.11.2024; Ogledov: 0; Prenosov: 59
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4. Food risk analysis : Towards a better understanding of “hazard” and “risk” in EU food legislationAna-Andreea Cioca, Livija Tušar, Tomaž Langerholc, 2023, izvirni znanstveni članek Opis: For risk communication, it is important to understand the difference between “hazard” and “risk”. Definitions can be found in Codex Alimentarius and the European Union (EU) General Food Regulation (EC) No. 178/2002. The use of these terms as synonyms or their interchange is a recurrent issue in the area of food safety, despite awareness-raising messages sent by EFSA (European Food Safety Authority) and other interested entities. A quick screening of the EU’s food regulations revealed several inconsistencies. Hence, it was considered necessary to further investigate if regulations could act as a source for this problem. A software tool was developed to support the detection and listing of inconsistent translations of “hazard” and “risk” in certain EU food regulations. Subsequently, native-speaking experts working in food safety from each EU country were asked to provide their individual scientific opinion on the prepared list. All data were statistically analysed after applying numerical scores (1–5) describing different levels of consistency. Results showed that the most common problem was the interchange of “hazard” with “risk” and vice versa. This lack of consistency can create confusion that can further translate into misjudgments at food risk assessment and communication levels.
Ključne besede: risk analysis, risk communication, hazard, risk, food regulation, food safety
Objavljeno v DKUM: 12.03.2024; Ogledov: 460; Prenosov: 351
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5. Food Waste to Energy through Innovative Coupling of CHP and Heat PumpJan Drofenik, Danijela Urbancl, Darko Goričanec, Zdravko Kravanja, Zorka Novak-Pintarič, 2023, izvirni znanstveni članek Opis: This paper presents the conceptual design of a technological solution for the efficient conversion of food waste into heat and power. The distribution and composition of food loss and waste at different stages of the food supply chain in Slovenia and their potential for biogas production were determined. It was found that more than 50% of food waste comes from households. Therefore, a small plant was designed to convert food waste into biogas, which was innovatively coupled with a combined heat and power (CHP) unit and a heat pump. This doubles the amount of heat generated compared to conventional cogeneration. Based on the capacity of a micro commercial CHP unit, 3330 households (about 8000 residents) would supply food waste. The heat generated could replace 5% of the natural gas used for domestic water heating. The payback period would be 7.2 years at a heat price of about 80 EUR/MWh, however, for municipalities with more than 40,000 inhabitants the payback period would be reduced to less than 3 years. The cost price of the heat generated by this system would be about 25 EUR/MWh, taking into account the government subsidy for the operation of the CHP unit.
Ključne besede: food waste to energy, biogas, combined heat and power, CHP, heat pump, efficiency, conceptual design, preliminary economic assessment, sensitivity analysis
Objavljeno v DKUM: 16.02.2024; Ogledov: 3257; Prenosov: 44
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6. Comparison of methods for determination of polyphenols in wine by HPLC-UV/VIS, LC/MS/MS and spectrophotometryVesna Mila Meden, Matija Strlič, Drago Kočar, 2009, izvirni znanstveni članek Opis: Phenolic antioxidants are usually grouped into flavonoids and non-flavonoids, according to their structure. With regard to the tannic character, phenolic antioxidants are further subdivided to tannic phenols and non-tannic phenols. Collectively, these compounds contribute to the high antioxidant capacity of wine.
In this work, we compare determination of gallic acid, catechin, epicatechin, resveratrol, quercetin, dihydrobenzoic acid, sinapic acid, vanillic acid, caffeic acid, chlorogenic acid, ferullic acid, ellagic acid, p-coumaric acid and caftaric acid in 141 wine samples using two liquid chromatographic methods and detection systems, i.e. with UV detection and mass-spectrometric detection. In addition, we applied the conventional Folin-Ciocalteu spectrophotometric method for determination of the total phenolic content in wine samples and compared the results with those obtained using the chromatographic methods.
Despite satisfactory correlations statistically significant differences between HPLC-UV/VIS and LC/MS/MS were established, which could be related to coelution not detectable with UV/VIS detectors. The correlations between results of the spectrophotometric method and sum of LC/MS/MS determinations are not satisfactory and are different for white, red, and rosé wines.
Ključne besede: food analysis, wine, antioxidants, chromatography
Objavljeno v DKUM: 17.08.2017; Ogledov: 2207; Prenosov: 179
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