化学
污染物
自来水
废水
重氮
酚类
吸光度
选择性
光学传感
有害空气污染物
环境化学
检出限
色谱法
苯酚
氨基酸
人类健康
纳米技术
污染
荧光
多酚
比色法
组合化学
水污染物
水污染
复矩阵
作者
Li Luo,Ping Chen,Jingquan Wang,Han Wu,Hongguang Guo
标识
DOI:10.1021/acs.analchem.5c05917
摘要
Amino pollutants ubiquitously discharged from medical, animal husbandry, and aquaculture industries represent a hazardous subgroup of emerging contaminants, yet their rapid and reliable on-site monitoring remains challenging. Herein, we developed a selective analytical system for amino pollutants based on a liquid oxidation recognition probe (LORP) synthesized via a Mn-based advanced oxidation process. The probe selectively captures amino groups through group-selective radical coupling reactions, while crystal violet (CV) enables quantitative and visual readout by converting pollutant concentrations into absorbance signals and color changes. Impressively, this detection system exhibits high selectivity and anti-interference capacity toward complex water matrices and good practicability in tap water, Lake water, fountain water, and aquaculture wastewater with SMX recovery rates of 83.9 to 119.1%. A general synthetic strategy employing structurally diverse phenols was validated, expanding probe accessibility and allowing precise modulation of the LODs and ranges by fine-tuning the phenolic structures. This offers flexible adaptability to different water qualities and detection needs. Overall, this study presents a rapid and practical onsite visual sensing strategy for amino pollutants, featuring phenoxyl radical probes with facile synthesis and operational simplicity.
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