期刊
JOURNAL OF HAZARDOUS MATERIALS
卷 433, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhazmat.2022.128750
关键词
CRISPR-based sensor; MXene-Au; Upconversion nanoparticles; Aptasensor; DON
资金
- National Natural Science Foundation of China [32072310, 31871721]
- Fundamental Research Funds for the Central Universities [JUSRP221004]
- Jiangsu Province Postdoctoral Science Foundation [1701097B]
- Collaborative inno-vation center of food safety and quality control in Jiangsu Province
In this study, a sensitive and robust CRISPR-Cas12a-mediated aptasensor was developed to detect DON using labeled nanoparticles and enhanced quenchers. The sensor enables accurate analysis of DON and expands the detection range of CRISPR-Cas sensors for nonnucleic acid hazards in the environment and food.
Deoxynivalenol (DON) is a typical mycotoxin in cereals and poses tremendous threats to the ecological environment and public health. Therefore, exploiting sensitive and robust analytical methods for DON is particularly important. Here, we fabricated a CRISPR-Cas12a-mediated luminescence resonance energy transfer (LRET) aptasensor to detect DON by using single-stranded DNA modified upconversion nanoparticles (ssDNA-UCNPs) as anti-interference luminescence labels and gold nanoparticle-decorated Ti3C2Tx MXene nanosheets (MXene-Au) as enhanced quenchers. The DON aptamer can activate the trans-cleavage activity of Cas12a to indiscriminately cut nearby ssDNA-UCNPs into small fragments, which prevents ssDNA-UCNPs from adsorbing onto MXene-Au, and the upconversion luminescence (UCL) remains. Upon the binding of the aptamer with DON, the trans-cleavage activity of Cas12a was suppressed, and the ssDNA-UCNPs were not cleaved and easily adsorbed onto MXene-Au, which caused UCL quenching. Under optimized conditions, the limit of detection was determined to be 0.64 ng/ mL with a linear range of 1 - 500 ng/mL. In addition, the sensor was successfully applied to detect DON in corn flour and Tai Lake water with recoveries of 96.2 - 105% and 95.2 - 104%, respectively. This platform achieves a sensitive and specific analysis of DON and greatly broadens the detection range of CRISPR-Cas sensors for nonnucleic acids hazards in the environment and food.
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