This study used various parameters of honey to develop a potentially more robust approach to the detection of adulterated honey. For this purpose, 25 multifloral, natural honey samples and 20 samples of adulterated honey produced by bees that had been fed supplementary sucrose syrup were analysed. The mean total phenolic content of the natural honeys was considerably higher than in the adulterated honeys at 157 ± 13 and 35.2 ± 7.3 mg GAE/100 g, respectively. Similarly, considerable variation was determined between natural and adulterated honeys in terms of total flavonoids (3.3 ± 0.3 and 2.1 ± 0.4 mg QE/100 g, respectively), antiradical activity (87.9 ± 12 and 163 ± 11 mg/mL, respectively) and proline content (202 ± 26 and 71.1 ± 21.6 mg/kg, respectively.) The potassium, phosphorus, calcium and magnesium contents of natural honeys were also higher than in adulterated honeys (P < 0.01). In conclusion, the determination of the proline level, phenolic content, antioxidant activity and mineral profile may collectively provide a more holistic method approach to the differentiation of natural and adulterated honey, and also for comparing their food values.

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In the present study, a full scale horizontal subsurface flow constructed wetland was designed, constructed and operated to treat domestic wastewater of Kızılcaören village in Samsun city of Turkey. The total surface area of HSFCW was divided into equal parts. The effects of Juncus acutus L. and Cortaderia selloana (Schult.Schult.f.)Asch.&Graebn. on pollutants removal in HSFCWs were evaluated with the meteorological factors. The average removal efficiencies of J. acutus and C. selloana were determined as 60.3-57.7% for BOD; 24.2-38.9% for TN; 31.4-49.8% for OM; 35.4-43.3% for TP; 18.9-27.1% for orthophosphate; 24.4-28.7% for NH-N; 29.5-37.2% for TSS; and 35.3-44.3% for TSM. Two-way ANOVA was applied to determine any difference for the removal of all parameters between the plant types and months on the mean values of contaminant removal. A correlation matrix of all parameters was determined. Subsurface flow constructed wetland was found quite efficient for the treatment of domestic wastewater in rural settlements. HSFCW is also more economical to install and maintain than a conventional wastewater treatment system while enhancing ecosystem services.

The aim of this study is to evaluate the parameters such as pH, dissolved oxygen, temperature, conductivity, salinity, biological oxygen demand (BOD), total suspended solid, ammonia, chlorophyll-a and heavy metals affecting total coliform values in seawater using Artificial Neural Network (ANN) modelling at the Eastern Black Sea coast of Turkey. The results obtained from ANN model were compared with actual total coliform values. The samples were taken from the different points selected along the deep sea discharge systems starting from the diffuser end of three domestic deep sea discharge systems at Turkey's Eastern Black Sea coast. ANN model was developed for estimating the relationship between total coliform and other parameters. The parameters measured in seawater samples were analyzed by using the ANN model for prediction of coliform values. The results showed that neural network model is capable of estimating the sea pollution with a reasonable accuracy.