Key Laboratory of Green Chemistry and Technology, Ministry of Education, College of Chemistry Sichuan University, 29, Wangjiang Road, Chengdu, Sichuan Province 610064, China; Key Laboratory of Bio-resources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, 29, Wangjiang Road, Chengdu, Sichuan Province 610064, China.
Key Laboratory of Green Chemistry and Technology, Ministry of Education, College of Chemistry Sichuan University, 29, Wangjiang Road, Chengdu, Sichuan Province 610064, China.
Food Chem. 2021 Mar 30;341(Pt 2):128254. doi: 10.1016/j.foodchem.2020.128254. Epub 2020 Oct 5.
Different chemical states of nitrogen are present in many freshwater and marine ecosystems, and nitrite ions are one of the most toxic water-soluble nitrogen species. Developing an effective and convenient sensing method to constantly detect the concentration of nitrite has become a wide concern. Here, a novel near-infrared fluorescent probe (AAC) was designed and synthesized via the "covalent assembly" principle, showing excellent selectivity and high sensitivity for nitrite. A new nitrite-quantitative method was established with the help of AAC, and the detection limit of nitrite using the new method was as low as 6.7 nM. AAC was successfully applied for the quantitative detection of nitrite in real-world environmental and food samples (including river water and Chinese sauerkraut), and the detection results were essentially identical to the results obtained from the traditional Griess assay. Moreover, AAC was successfully applied for tracking nitrite in Escherichia coli by fluorescence imaging. Since nitrite can have devastating effects, the method established with AAC allowed us to "see" effectively about the water quality, food quality, etc.
许多淡水和海洋生态系统中存在不同化学态的氮，亚硝酸盐离子是最具毒性的水溶性氮物种之一。开发一种有效且方便的传感方法来持续检测亚硝酸盐的浓度已成为广泛关注的问题。在这里，通过“共价组装”原理设计并合成了一种新型近红外荧光探针 (AAC)，该探针对亚硝酸盐具有优异的选择性和高灵敏度。借助 AAC 建立了一种新的亚硝酸盐定量方法，该方法检测亚硝酸盐的检测限低至 6.7 nM。AAC 成功应用于实际环境和食品样品（包括河水和中国泡菜）中亚硝酸盐的定量检测，检测结果与传统的格里斯测定法基本一致。此外，AAC 还成功应用于通过荧光成像跟踪大肠杆菌中的亚硝酸盐。由于亚硝酸盐可能具有破坏性影响，因此使用 AAC 建立的方法使我们能够有效地“看到”水质、食品质量等。
