Parizadeh Pegah, Moeinpour Farid, Mohseni-Shahri Fatemeh S
Department of Chemistry, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, 7915893144, Iran.
Department of Chemistry, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, 7915893144, Iran.
Chemosphere. 2023 Jun;326:138459. doi: 10.1016/j.chemosphere.2023.138459. Epub 2023 Mar 20.
The environment and our health are negatively impacted by heavy metal ions, like Cu(II). The present study developed a green and effective metallochromic sensor that detects copper (Cu(II)) ions in solution and solid state using anthocyanin extract from black eggplant peels embedded in bacterial cellulose nanofibers (BCNF). Cu(II) is quantitatively detected by the sensing method with detection limits between 10-400 ppm and 20-300 ppm in solution and solid state, respectively. In the solution state, we depicted a sensor for Cu(II) ions in aqueous matrices in the pH range from 3.0 to 11.0, with the capability to produce a visual color change from brown to light blue and dark blue depending on the Cu(II) concentration. Additionally, BCNF-ANT film can act as a sensor for Cu(II) ions in the pH range of 4.0-8.0. Neutral pH was selected from the standpoint of high selectivity. It was found that visible color changed when Cu(II) concentration was increased. Bacterial cellulose nanofibers modified with anthocyanin were characterized with ATR-FTIR and FESEM. Various metal ions, including Pb, Co, Zn, Ni, Al, Ba, Hg, Mg, and Na, were used to challenge the sensor to determine its selectivity. Anthocyanin solution and BCNF-ANT sheet were employed in the actual tap water sample successfully. The results also clarified that the various foreign ions did not significantly interfere with Cu(II) ions detection at optimum conditions. Compared to previously developed sensors, no electronic components, trained personnel, or sophisticated equipment were needed to apply the colorimetric sensor developed in this research. Cu(II) contamination in food matrices and water can be monitored on-site easily.
环境和我们的健康受到重金属离子（如Cu(II)）的负面影响。本研究开发了一种绿色高效的金属变色传感器，该传感器使用嵌入细菌纤维素纳米纤维（BCNF）中的黑茄子皮花青素提取物来检测溶液和固态中的铜（Cu(II)）离子。通过传感方法对Cu(II)进行定量检测，在溶液和固态中的检测限分别为10 - 400 ppm和20 - 300 ppm。在溶液状态下，我们描绘了一种用于检测pH范围为3.0至11.0的水性基质中Cu(II)离子的传感器，该传感器能够根据Cu(II)浓度产生从棕色到浅蓝色和深蓝色的视觉颜色变化。此外，BCNF-ANT膜可作为pH范围为4.0 - 8.0的Cu(II)离子传感器。从高选择性的角度选择了中性pH。发现当Cu(II)浓度增加时可见颜色发生变化。用ATR-FTIR和FESEM对用花青素修饰的细菌纤维素纳米纤维进行了表征。使用包括Pb、Co、Zn、Ni、Al、Ba、Hg、Mg和Na在内的各种金属离子来挑战该传感器以确定其选择性。花青素溶液和BCNF-ANT片材成功应用于实际自来水样品中。结果还表明，在最佳条件下，各种外来离子不会对Cu(II)离子的检测产生显著干扰。与先前开发的传感器相比，应用本研究开发的比色传感器不需要电子元件、训练有素的人员或复杂的设备。食品基质和水中的Cu(II)污染可以很容易地在现场进行监测。
