Dragoş Alexandru Robu

Over the past years, increasing attention has been drawn to the adverse effects of agricultural pesticide use on pollinators, with honeybees being especially vulnerable. The aim of this study was to evaluate the levels of residues detectable and/or quantifiable of neonicotinoid pesticides and other pesticides in biological materials (bees, bee brood, etc.) and beehive products (honey, pollen, etc.) applied as seed dressings in rapeseed and sunflower plants in two growing seasons (2020–2021) in fields located in three agro-climatic regions in Romania. The study involved the comparative sampling of hive products (honey, pollen, adult bees, and brood) from experimental and control apiaries, followed by pesticide residue analysis in an accredited laboratory (Primoris) using validated chromatographic techniques (LC-MS/MS and GC-MS). Toxicological analyses of 96 samples, including bees, bee brood, honey, and pollen, confirmed the presence of residues in 46 samples, including 10 bee samples, 10 bee brood samples, 18 honey samples, and 8 pollen bread samples. The mean pesticide residue concentrations detected in hive products were 0.032 mg/kg in honey, 0.061 mg/kg in pollen, 0.167 mg/kg in bees, and 0.371 mg/kg in bee brood. The results highlight the exposure of honeybee colonies to multiple sources of pesticide residue contamination, under conditions where legal recommendations for the controlled application of agricultural treatments are not followed. The study provides relevant evidence for strengthening the risk assessment framework and underscores the need for adopting stricter monitoring and regulatory measures to ensure the protection of honeybee colony health.

In response to consumer demand for more sustainable and health-conscious products, the food sector is increasingly shifting towards the use of natural additives. Pokeweed (Phytolacca americana L.) is a medicinal plant that contains valuable biologically active compounds, including betacyanins, which serve as its red pigments, along with phenolic acids, flavonoids, polyphenolic compounds, and others. Phytolacca americana (P. americana) is a plant renowned for its bioactive compounds, which exhibit anti-inflammatory, anti-mutagenic, antioxidant, anticancer, and antibacterial properties. This study investigates the potential of betalain pigments extracted from the berries of P. americana as a natural colorant for cheese formulation. The impact of these pigments on the color attributes, sensory qualities, and physicochemical and phytochemical composition of the cheeses was systematically evaluated. The Phytolacca americana (PA) powder demonstrated significant levels of total polyphenols (111.95 ± 1.60 mg GAE/g dw) and antioxidant activity (21.67 ± 0.19 µmol TE/g dw). The incorporation of PA powder increased the physicochemical and phytochemical contents and antioxidant activity in the final product (4.40 ± 0.22 µmol TE/g dw for CPAP1 and 6.11 ± 0.22 µmol TE/g dw for CPAP2). The sensory study revealed that the PA-supplemented cheeses were acceptable. The enhanced cheeses present a distinctive color profile, attracting health-conscious consumers looking for innovative dairy products. The study concludes that PA powder can effectively enhance cheese, producing a phytochemical-enriched product that appeals to health-conscious consumers.

Bio-economy is a major area of the strategy that must enable the European Union to achieve growth: smart, through the development of knowledge and innovation; and sustainable, based on a greener, more efficient economy in resource management. We believe that the progress of bio-economy cannot be achieved without the harnessing of intellectual capital. Our research aimed to emphasize the benefits of the dynamics of the intellectual capital growth on the evolution of the bio-economy. The aim of this analysis was to study the established link between the Energy Intensity of the Economy (EIE) and a number of factors that can measure the intellectual capital, such as: Market Capitalization of Bitcoin, Patent applications listed by European Patent Office and the Turnover from Innovation as a proportion of the total Turnover. The ultimate goal was represented by the generation of a regression model to see what factor influences mostly the progress of the bio-economy at European and Romanian level.