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Updated: Sep 25, 2025
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Design and Development of Aptamer–Gold Nanoparticle Based Colorimetric Assays for In-the-field Applications
Published on: June 23, 2016
12.4K
Optimisation of a gold nanoparticle-based aptasensor integrated with image processing for the colorimetric detection
Mohd Junaedy Osman1, Jahwarhar Izuan Abdul Rashid1, Ong Keat Khim1,2
1Department of Chemistry and Biology, Centre for Defence Foundation Studies, Universiti Pertahanan Nasional Malaysia (National Defence University of Malaysia) Sungai Besi Camp 57000 Kuala Lumpur Malaysia ongkhim@upnm.edu.my.
RSC Advances
|April 28, 2022
Summary
This study optimized a sensor for detecting acephate (Ac), an organophosphate pesticide. The developed aptasensor offers a sensitive and reliable method for detecting Ac in real samples.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Biotechnology
Background:
- Acephate (Ac) is an organophosphate pesticide that inhibits acetylcholinesterase.
- Sensitive detection methods for acephate are crucial for environmental and food safety.
- Existing detection methods may require complex procedures or lack sufficient sensitivity.
Purpose of the Study:
- To optimize a novel aptasensor for the sensitive detection of acephate.
- To investigate the influence of key parameters on sensor performance using response surface methodology.
- To validate the aptasensor's efficacy in real sample analysis.
Main Methods:
- Development of a thiolated acephate binding aptamer-citrate capped gold nanoparticle (TABA-Cit-AuNP) sensor.
- Optimization of variables including incubation time, buffer concentration, aptamer concentration, and magnesium sulfate concentration using central composite design (CCD) and response surface methodology (RSM).
- Incorporation of an image processing technique for signal detection.
Main Results:
- Optimal conditions determined for the sensor: 0.01 M PBS, 200 nM TABA, 3 h incubation, and 1 mM MgSO4.
- The optimized aptasensor achieved a detection range of 0.01–2.73 μM.
- A low limit of detection (LOD) of 0.06 μM was established for acephate detection.
Conclusions:
- The optimized TABA-Cit-AuNP aptasensor provides a sensitive and effective method for acephate detection.
- The sensor demonstrates good analytical performance for real sample analysis.
- This approach offers a promising tool for monitoring acephate contamination.
