College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, Shandong 273165, PR China.
College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, Shandong 273165, PR China.
J Hazard Mater. 2023 Oct 15;460:132418. doi: 10.1016/j.jhazmat.2023.132418. Epub 2023 Aug 26.
The high toxicity and low biodegradability of the phenolic pollutants destroyed the balance of the environment and influenced human health seriously. Here, we developed a three-dimensional coloremetric sensor array for discriminating and determinating phenolic pollutants basing on the distinct Cu/nucleotides MOFs. Firstly, three laccase-mimic Cu/MOFs (Cu/AMP, Cu/CMP, and Cu/GMP) were obtained by regulating the molar ratio of Cu and nucleotides. Then the Cu/MOFs as the recognition elements of the sensor array catalyzed the pollutants-4-AAP-HO system, obtaining the colored benzoquinone products. Subsequently, the data array obtaining from the combined training matrix (3 Cu/MOFs × 6 pollutants × 5 replicates) was projected into a new dimensional space to obtain the 3D canonical scores, and classified into individual clusters by introducing LDA method. No overlap in their respective LDA plots for the six phenolic pollutants with different concentrations suggested the prominent discriminating performance of the sensor array. Furthermore, the sensor array exhibited high selectivity compared to the "lock-and-key" sensors even other active matrices coexisting in water samples. Importantly, the most influential discrimination factor was used to monitor the levels of the six targets, evidencing the potential application in assessing water pollution and maintaining human health.
酚类污染物的高毒性和低生物降解性破坏了环境平衡，严重影响了人类健康。在这里，我们基于独特的 Cu/核苷酸 MOFs 开发了一种用于区分和测定酚类污染物的三维比色传感器阵列。首先，通过调节 Cu 和核苷酸的摩尔比获得了三种漆酶模拟 Cu/MOFs（Cu/AMP、Cu/CMP 和 Cu/GMP）。然后，传感器阵列中的 Cu/MOFs 作为识别元件催化污染物-4-AAP-HO 体系，生成有色苯醌产物。随后，将来自组合训练矩阵（3 Cu/MOFs×6 污染物×5 个重复）的数据数组投影到新的维度空间中，获得 3D 规范得分，并通过引入 LDA 方法将其分类为单独的聚类。六个不同浓度酚类污染物的各自 LDA 图之间没有重叠，表明传感器阵列具有出色的区分性能。此外，与“锁钥”传感器相比，该传感器阵列即使在水样中共存其他活性基质时也表现出较高的选择性。重要的是，使用最具影响力的判别因子来监测六种目标的水平，证明了其在评估水污染和维护人类健康方面的潜在应用。
