The excessive use of tetracycline antibiotics has led to an increase in antibiotic resistance among bacteria, complicating the treatment of infections. Additionally, residues of these antibiotics have become environmental pollutants, posing a threat to ecosystems. It is imperative to develop a rapid, point-of-care, intelligent detection method for multiple antibiotics. In this study, a multi-channel sensor based on a clay mineral with inherent blue fluorescence was successfully assembled, denoted as CDs@LAPONITE-Eu-GMP/Cit. This sensor exhibited fluorescence color changes upon detecting tetracycline, oxytetracycline, chlortetracycline, and doxycycline. The difference of coordination ability between different tetracycline antibiotics and Eu 3+ was used to distinguish the spectral signals. Furthermore, the deep learning detection model was used to process the fluorescence spectrum data, and the sensitive and selective detection of tetracycline antibiotics was realized by real-time classification and improvement of accuracy. Furthermore, a pre-trained deep-learning classification model was integrated into the STM32 microcontroller to facilitate rapid data processing and real-time reporting. The developed device achieved miniaturization, simplification, operability, and visualization in practical detection scenarios. This work provided a novel approach for rapid identification and on-site intelligent classification of multiple antibiotics in complex environments, inspiring the design and manufacture of advanced devices for multi-target analysis.
Zhichen Deng,Zihui Zhong,Li Li,Zhengquan Su,Yan Bai,Jincan He
A one-pot derivatization facilitated resonance Rayleigh scattering and absorption (abbreviated as one-pot RRS/Abs) dual-mode method was proposed for selective and rapid detection of phosphate. A one-pot derivatization reaction that takes only 5 min was introduced to generate a dual-mode spectroscopic signal and improve the selectivity. Using the derivatization agent (ammonium vanadic molybdate, AVM), spectral probe (crystal violet, CV), and sensitizing reagent (Triton X-114, TX-114), phosphate was transformed into a large supramolecular complex, resulting in a remarkable dual-mode signal response of RRS and UV–Vis absorption. The RRS signal (368 nm) and ratiometric absorption signal (A 590 nm /A 450 nm ) were linearly correlated with the phosphate concentration in the range of 0.05–1.0 µg/mL and 0.08–1.0 µg/mL, respectively. The correlation index (R 2 ) was 0.9976 and 0.9890, and the limits of detection (LOD) were 13 ng/mL and 42 ng/mL, respectively, which were lower than those obtained through most spectroscopic methods. The one-pot RRS/Abs dual-mode method was applied to detect phosphate in real food samples, with recoveries of 92.0%–110.0% and relative standard deviations (RSD) of 2.1%–6.6%. The one-pot RRS/Abs dual-mode method is rapid, selective, sensitive, convenient to operate, and capable of self-comparison, showing great promise for phosphate detection in complex samples. In addition, it offers an alternative strategy for the measurement of analytes with weak spectroscopic signals.
危险品化学品经营许可证（带存储）