Python-assisted bimetallic-nanozyme fluorescence capillary imprinted sensor for rapid visual detection of nonylphenol...

Nonylphenol polyethoxylate (NPEO) and its primary metabolite nonylphenol (NP) are novel endocrine disrupting compounds and emerging pollutants, resulting in hazards toward human health. Developing a portable, ultrasensitive and rapid detection method toward NPEO and NP is a great significance for protecting human health. Here, a Python-assisted intelligent capillary imprinted fluorescence platform based on bimetallic nanozymes was developed for rapid microvolume analysis NPEO and NP. Interestingly, manganese with enzyme-like activity was introduced into iron metal organic framework (Fe-MIL(53)) to bring out a superior catalytic activity of Fe/Mn bimetallic nanozyme (Fe/Mn-MIL(53)). A nanozyme fluorescence imprinted polymer (B-CDs@Fe/Mn-MIL(53)@MIP) was prepared by one-pot method with blue carbon dots (B-CDs) as fluorescence source and NPEO as the template. Red carbon dots (R-CDs) and B-CDs@Fe/Mn-MIL(53)@MIP mixture solution was inhaled into a capillary to develop a dual-nanozyme capillary imprinted sensor. A good linear relationship existed between the fluorescence ratios of F₄₄₄/F₅₅₁/F₆₇₉ with NPEO and NP concentrations within the ranges of 0.01 nM - 110 nM and 0.01 nM - 90 nM, respectively. Additionally, the Python-assisted fluorescence imprinted capillary sensor was developed for the rapid intelligent detection of NPEO and NP with the detection limit of 0.0025 nM and 0.003 nM, respectively. The Python-assisted fluorescence imprinted capillary sensor achieves ultrasensitive microanalysis (18 μL/time) of NPEO and NP in real water samples, providing an alternative determination strategy for NPEO and NP in the environment.