This study conducts a bibliometric and content analysis based on publications indexed in the Web of Science Core Collection, aiming to map the evolution and key themes in horticultural research in the context of technological innovation and sustainability. The results reveal a strong orientation toward digitalization and automation, particularly through the integration of artificial intelligence, mechatronic systems, and sensor-based monitoring in crop management. In the field of biotechnology, keywords such as gene expression, genetic diversity, and micropropagation reflect a sustained research interest in improving crop resilience and disease resistance through genetic and in vitro propagation techniques. Furthermore, concepts such as environmental control, soilless culture, energy efficiency, and co-generation highlight the focus on optimizing growing conditions and integrating renewable energy sources into protected horticultural systems. The geographical distribution of studies highlights increased academic output in countries like India and regions of sub-Saharan Africa, reflecting a global interest in transferring advanced technologies to vulnerable areas. Moreover, collaboration networks are dominated by leading institutions such as Wageningen University, which act as hubs for knowledge diffusion. The findings suggest that future research should prioritize the development of durable, energy-efficient horticultural technologies adapted to various agro-climatic zones. It is recommended that policymakers and stakeholders support interdisciplinary research initiatives, promote knowledge transfer mechanisms, and ensure equitable access to innovation for smallholder farmers and emerging economies.

This research aims to identify the influence of fiscal policy, financial development and economic growth on the increase of renewable consumption in Romania. To achieve our objective, we employ bivariate regressions through the Autoregressive Distributed Lag method, over the 2000–2020 period, to examine these influences. We find clear evidence that the variables observed (implicit tax rate on energy, external debt stocks, real GDP per capita, environmental tax revenues from energy taxes, and market capitalisation of listed domestic companies) have significant effects on the use of renewable energy. Four unidirectional causal relationships were identified in the long run: two from independent variables towards the dependent variable and two from the dependent variables towards two other independent variables. The importance of this study is that its results can contribute to the finding of the most suitable solutions to improve renewable energy consumption in Romania and mitigate the impact of climate change. Consequently, the results of this study reveal significant conclusions and policy recommendations for Romania moving towards sustainable and green economic growth, through a balanced set of policies and measures smartly applied, accompanied by a solid rate of absorption of green funds.

Background/Objectives: Listeria monocytogenes is a significant foodborne pathogen associated with dairy products, which can pose serious public health risks, particularly for vulnerable populations. This study aimed to assess the prevalence, serotype distribution, and antimicrobial resistance profiles of Listeria monocytogenes isolated from dairy products collected in Romania over a three-year period (2021–2023). To the best of our knowledge, this is the first comprehensive study addressing these issues within the country. Methods: A total of 10,306 dairy samples, including milk, cheeses, ice cream, yogurt, and other dairy-based products, were collected and analyzed using standard microbiological methods. Molecular serotyping was performed to identify the most common serogroups. The antimicrobial susceptibility of the isolates was also conducted. Results: The overall prevalence of Listeria monocytogenes was 0.41% (43/10,306). The most frequently detected serogroup was IVb (74.41%), followed by IIa (23.25%) and IIb (2.32%). Ice cream was the most affected product, followed by fresh telemea made from cow milk. Antimicrobial susceptibility testing revealed higher resistance rates for oxacillin and trimethoprim-sulfamethoxazole (13.95% each), while all isolates were susceptible to ciprofloxacin, levofloxacin, and moxifloxacin. Conclusions: The findings emphasize the need for continuous monitoring of Listeria monocytogenes in dairy products, particularly ice cream and fresh cheeses, due to their high contamination rates. The study’s results are valuable for comparative analysis with findings from other countries, helping to establish a broader understanding of Listeria monocytogenes contamination trends and resistance profiles.

The presence of antibiotic residues in honey has recently become a growing public health concern due to the overuse of these products in beekeeping and their transfer to the food industry. The aim of this study was to develop and validate a simple, selective and sensitive method for the simultaneous identification and quantification of residues of twenty-two sulfonamides, trimethoprim and dapsone in honey using a rapid and reliable liquid chromatography–tandem mass spectrometry (LC–MS/MS) method. The developed method showed good linearity, specificity, precision (repeatability and intra-laboratory reproducibility) and recovery. The decision limit (CCalpha) ranged between 2.16-22.12 µg/kg for CCα, while the detection capability (CCbeta) was between 2.16- 2.67-27.36 µg/kg. The method proved to be rapid, reliable and effective for the determination of sulfonamides, trimethoprim and dapsone from honey samples. The average recoveries were estimated to be between 70 and 106%. The relative standard deviations (RSDs) were between 6-18%. In practice, the method is essential to check the honey sold on the market and ensure its safety before it reaches the consumer.