期刊
MICROCHIMICA ACTA
卷 189, 期 6, 页码 -出版社
SPRINGER WIEN
DOI: 10.1007/s00604-022-05329-y
关键词
Artificial nanozyme; Onsite visual colorimetry; Smartphone-assisted detection; Tetracycline; Blocking effect; Milk
资金
- National Natural Science Foundation of China [22176047]
- Open Project Program of State Key Laboratory of Dairy Biotechnology [SKLDB2020-001]
In this study, we developed a smartphone-assisted onsite visual sensor for accurate and low-cost detection of tetracycline (TC) residues in milk using a hybrid Cu-doped-g-C3N4 nanozyme. The Cu-doped-g-C3N4 nanocomposite showed improved peroxidase-like activity, and the pi-pi stacking interaction between TC and the nanozyme resulted in a fading of solution color with TC concentration. A simple, low-cost, and sensitive portable colorimetric sensor for onsite monitoring of TC residues in milk was successfully developed using smartphone-assisted detection.
Accurate and low-cost onsite assay of residual antibiotics in food and agriculture-related matrixes (e.g., milk) is of significant importance for evaluating and controlling food pollution risk. Herein, we employed hybrid Cu-doped-g-C3N4 nanozyme to engineer smartphone-assisted onsite visual sensor for reliable and precise reporting the levels of tetracycline (TC) residues in milk through pi-pi stacking-triggered blocking effect. Benefiting from the synergetic effects of Cu2+ and g-C3N4 nanosheet, Cu-doped-g-C3N4 nanocomposite exhibited an improved peroxidase-like activity, which could effectively catalyze H2O2 to oxidate colorless TMB into steel-blue product oxTMB. Interestingly, owing to the blocking effect caused by the pi-pi stacking interaction between TC tetraphenyl skeleton and Cu-doped-g-C(3)N(4 )nanozyme, the affinity of Cu-doped-g-C(3)N(4 )nanocomposite toward the catalytic substrates was remarkably blocked, resulting in a TC concentration-dependent fading of solution color. Using smartphone-assisted detection a simple, low-cost, reliable, and sensitive portable colorimetric sensor-based nanozyme for onsite visual monitoring the residual TC in milk was successfully developed with a detection limit of 86.27 nM. Of particular mention is that this detection limit is comparable to most other reported colorimetric methods and below most official allowable residue thresholds in milk matrixes. This work gave a novel insight to integrate two-dimensional (2D) artificial nanozymes-based pi-pi stacking-triggered blocking effect with smartphone-assisted detection for developing efficient and low-cost colorimetric point-of-care testing of the risk factors in food and agriculture-related matrixes.
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