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Effective multicolor visual biosensor for ochratoxin A detection enabled by DNAzyme catalysis and gold nanorod
Zhiqiang Guo1, Mingshuo Zhang2, Haiping Zhang1
1Key Laboratory of Chemical Sensing & Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, People's Republic of China.
Mikrochimica Acta
|December 26, 2024
Summary
A new method provides sensitive ochratoxin A (OTA) detection using gold nanorods and DNAzyme catalysis. This visual technique offers a low detection limit for reliable ochratoxin A analysis.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Biochemistry
Background:
- Ochratoxin A (OTA) is a common food contaminant with significant health implications.
- Sensitive and reliable detection methods for OTA are crucial for food safety.
- Existing detection techniques may lack sensitivity, specificity, or visual interpretability.
Purpose of the Study:
- To develop a novel, sensitive, and visual detection technique for ochratoxin A (OTA).
- To leverage gold nanorod etching and DNAzyme catalysis for signal amplification.
- To create a versatile platform for detecting various pollutants.
Main Methods:
- Utilized gold nanorods (AuNRs) stabilized by CTAB and their etching by oxidized TMB (TMB^2+).
- Employed Mg^2+-assisted DNAzyme catalysis and catalytic hairpin assembly (CHA) for signal amplification.
- Monitored color changes resulting from AuNRs' longitudinal localized surface plasmon resonance (LSPR) peak shift.
Main Results:
- Achieved a low detection limit of 0.309 pg/mL for OTA.
- Demonstrated high sensitivity and specificity in OTA detection.
- Observed a distinct color change in the AuNR solution upon OTA presence due to etching and aspect ratio reduction.
Conclusions:
- The developed technique offers a sensitive, reliable, and visual method for OTA detection.
- The platform's versatility allows for the detection of other pollutants by aptamer replacement.
- This approach provides a valuable tool for pollutant monitoring and food safety analysis.
