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Published on: September 17, 2017
Microfluidic biosensor for cholera toxin detection in fecal samples
Natinan Bunyakul1, Chamras Promptmas, Antje J Baeumner
1Department of Clinical Chemistry, Faculty of Medical Technology, Mahidol University, Nakhon Pathom, 73170, Thailand.
Abstract:
Sample preparation and processing steps are the most critical assay aspects that require our attention in the development of diagnostic devices for analytes present in complex matrices. In the best scenarios, diagnostic devices should use only simple sample processing. We have therefore investigated minimal preparation of stool samples and their effect on our sensitive microfluidic immunosensor for the detection of cholera toxin. This biosensor was previously developed and tested in buffer solutions only, using either fluorescence or electrochemical detection strategies. The microfluidic devices were made from polydimethylsiloxane using soft lithography and silicon templates. Cholera toxin subunit B (CTB)-specific antibodies immobilized onto superparamagnetic beads and ganglioside GM1-containing liposomes were used for CTB recognition in the detection system. Quantification of CTB was tested by spiking it in human stool samples. Here, optimal minimal sample processing steps, including filtration and centrifugation, were optimized using a microtiter plate assay owing to its high-throughput capabilities. Subsequently, it was transferred to the microfluidic systems, enhancing the diagnostic characteristic of the biosensor. It was found that the debris removal obtained through simple centrifugation resulted in an acceptable removal of matrix effects for the fluorescence format, reaching a limit of detection of only 9.0 ng/mL. However, the electron transfer in the electrochemical format was slightly negatively affected (limit of detection of 31.7 ng/mL). Subsequently, cross-reactivity using the heat-labile Escherichia coli toxin was investigated using the electrochemical microfluidic immunosensors and was determined to be negligible. With minimal sample preparation required, these microfluidic liposome-based systems have demonstrated excellent analytical performance in a complex matrix and will thus be applicable to other sample matrices.
Insights
Minimal sample preparation, including centrifugation, enhances microfluidic immunosensors for cholera toxin detection in stool. This approach improves diagnostic accuracy for complex matrices, crucial for developing rapid diagnostic devices.
Area of Science:
- Biotechnology
- Biosensor Development
- Analytical Chemistry
Background:
- Complex biological matrices pose challenges for diagnostic assays.
- Minimal sample preparation is crucial for efficient diagnostic device development.
- Previous biosensors for cholera toxin were limited to buffer solutions.
Purpose of the Study:
- To investigate minimal sample preparation methods for stool samples.
- To optimize a microfluidic immunosensor for cholera toxin detection.
- To evaluate the impact of sample processing on biosensor performance in complex matrices.
Main Methods:
- Development of polydimethylsiloxane-based microfluidic devices using soft lithography.
- Immobilization of cholera toxin subunit B (CTB)-specific antibodies on superparamagnetic beads.
- Utilized ganglioside GM1-containing liposomes for CTB recognition.
- Optimized sample processing (filtration, centrifugation) using microtiter plate assays and microfluidic systems.
Main Results:
- Centrifugation effectively reduced matrix effects in the fluorescence format, achieving a limit of detection (LOD) of 9.0 ng/mL.
- Electrochemical detection showed a slightly reduced performance (LOD of 31.7 ng/mL) due to matrix effects.
- Negligible cross-reactivity was observed with heat-labile *Escherichia coli* toxin in the electrochemical format.
Conclusions:
- Minimal sample preparation, specifically centrifugation, significantly enhances the performance of microfluidic immunosensors for cholera toxin in stool.
- The developed liposome-based microfluidic system demonstrates excellent analytical performance in complex matrices.
- This approach is adaptable for detecting analytes in various sample types, paving the way for broader diagnostic applications.
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