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Updated: Jan 2, 2026

Design and Development of Aptamer–Gold Nanoparticle Based Colorimetric Assays for In-the-field Applications
Published on: June 23, 2016
Colorimetric aptasensor for ochratoxin A detection based on enzyme-induced gold nanoparticle aggregation
Yue He1, Fengyu Tian1, Jing Zhou1
1Citrus Research Institute, Southwest University, Chongqing, 400712, PR China; Laboratory of Quality & Safety Risk Assessment for Citrus Products (Chongqing), Ministry of Agriculture, PR China; National Citrus Engineering Research Center, Chongqing, 400712, PR China.
A new colorimetric method uses enzyme-induced gold nanoparticle aggregation to detect alkaline phosphatase (ALP) and ochratoxin A (OTA). This sensitive and specific approach offers a simple platform for food safety monitoring.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Biochemistry
Background:
- Alkaline phosphatase (ALP) activity is a biomarker for various conditions.
- Ochratoxin A (OTA) is a prevalent mycotoxin posing significant food safety risks.
- Accurate and sensitive detection methods for ALP and OTA are crucial.
Purpose of the Study:
- To develop an innovative colorimetric method for ALP detection.
- To construct an aptasensor for monitoring OTA concentrations.
- To establish a simple and sensitive platform for mycotoxin food safety.
Main Methods:
- Enzyme-induced gold nanoparticle aggregation triggered by ALP activity.
- Hydrolysis of ascorbic acid 2-phosphate to ascorbic acid (AA).
- Reduction of MnO2 nanosheets by AA to produce manganese ions, mediating nanoparticle aggregation.
Main Results:
- Colorimetric detection of ALP with a limit of detection of 0.05 U·L⁻¹.
- Development of a target-responsive aptasensor for OTA detection with a limit of detection of 5.0 nM.
- Successful application to red wine and grape juice samples without complex pretreatment.
Conclusions:
- A sensitive and specific colorimetric platform for ALP and OTA detection was established.
- The method simplifies detection procedures and enhances sensitivity.
- The platform shows promise for efficient mycotoxin food safety monitoring.

