Abstract
Herein, we utilized carbon nanodots (R-CNDs) for the electrochemical detection of estrogens in tap, natural water samples and simulated effluents from Swedish Waste Water Treatment Plants (WWTPs). R-CNDs were prepared from 2-aminophenol by solvothermal synthesis and used as a modifier for chitosan-based selective membranes. The data obtained from atomic force microscopy and transmission electron microscopy suggest a spherical morphology of the R-CNDs with lateral size in the range of 3–8 nm and the height of 1–8 nm. In contrast to most other known carbon nanodots, R-CNDs are soluble in various organic solvents, including apolar, and less soluble in water. Small nanodots (3 nm) are more hydrophilic than large ones (6–8 nm) and can be separated from the bulk suspension of R-CNDs in heptane by their extraction into water/ethanol mixture. Suspensions of large R-CNDs in apolar solvents exhibit green photoluminescence, while small R-CNDs in polar solvents have orange. This phenomenon was attributed to a solvatochromic rather than to a quantum effect. The R-CNDs were embedded on a chitosan-modified pencil electrode and the electrode was applied for voltammetric determination of four abandoned estrogens: Estrone, Estradiol, Estriol, and Ethynyl Estradiol. The sensor demonstrates a group-selective response to the estrogens with a detection limit of 17.0 nmol·L-1. It can be applied to determine the estrogens in the range of 0.05–4.6 μmol·L−1 in the presence of typical interfering bioactive compounds, such as paracetamol, uric acid, progesterone, sulfamethoxazole, trimethoprim, ibuprofen, caffeine. The developed sensors show repeatability and reproducibility values of 1.8–3.4% and 4.3%, respectively. The efficiency of the was proved by application for tap and lake water samples, where the recovery range was found to be 93–100%. The low cost, stability and high sensitivity and selectivity of fabricated sensors, make R-CNDs a perspective modifier for electrochemical sensors for the detection of estrogen microquantities in variable water samples.