Table 6.
Concentration of the selected pharmaceuticals in riverine waters and wastewater treatment plants (WWTP) in literature data.
| Compounds [ng/L] | ||||
|---|---|---|---|---|
| Sample location | Caffeine (CAF) | Ibuprofen (IBU) | Carbamazepine (CBM) | References |
| Rivers | ||||
| Wisła River, Kraków, Poland | 326–1198 | 38 | 40 | 66,67 |
| Rudawa River, Kraków, Poland | 367–626 | 33 | 58 | 66,67 |
| Dłubnia River, Kraków, Poland | 370 | 10 | 47 | 66 |
| Wilga River, Kraków, Poland | 326 | – | – | 67 |
| Surface water, Poland | 113–5250 | 4–737 | 28–1840 | 68,69 |
| Surface water, UK | 55–199 | < 0.2–5044 | < 1–25 | 70 |
| Surface water, Germany | – | – | < 1–7100 | 70 |
| Surface water, France | 13–107 | ND–5 | ND–56 | 71 |
| Surface water, Spain | 12–416 | 6–2784 | 0.3–104 | 72 |
| Surface water, Greece | 38–72 | < LOQ | 92–186 | 73 |
| Surface water, Nigeria | < 4–1080 | 6720 | < 1–342 | 74 |
| Surface water, South Africa | 1170–60,530 | – | – | 74 |
| Surface water, China | 66–8571 | < LOD–195 | 1–30 | 8,75 |
| Surface water, Brazil | 200–14,820 | – | < 20–1590 | 54 |
| WWTPs | ||||
| Kraków WWTP influent | 2334–6768 | 666–3070 | 1452–3427 | 66 |
| Kraków WWTP effluent | < LOQ–1432 | 17–672 | 42–137 | 66 |
| WWTP Poland influent | 78,300–156,000 | 280–23,800 | 1120–2690 | 36,68 |
| WWTP Poland effluent | ND–364 | 0–110 | 1650–2240 | 36,68 |
| WWTP Greece influent | 856–6679 | < LOD–1258 | 326–1012 | 73 |
| WWTP Greece effluent | 28–119 | < LOD–790 | 172–552 | 73 |
| WWTP Jordan influent | 156,000 | – | 3138–3352 | 76 |
| WWTP Jordan effluent | 1560 | – | 2365–3020 | 76 |
| WWTP Canada influent | – | – | 3124 | 77 |
| WWTP Canada effluent | – | – | 2956 | 77 |
– lack of data.