研究目的
To present an electrochemically assisted surface-enhanced Raman spectroscopy (SERS) platform with the capability to reverse the analyte-surface interaction, without damaging the SERS substrate, allowing for efficient sensor reuse, and to detect melamine from milk with improved sensitivity.
研究成果
The electrochemically assisted SERS platform demonstrated reliable, repetitive measurements on a single SERS chip, significantly improving detection sensitivity for melamine in milk. The method's reversibility and reusability features, combined with suitable sample pre-treatment, make it a promising tool for food safety screening, particularly for infant formula.
研究不足
The study highlights the need for a simple sample pre-treatment step when dealing with real samples like milk, due to the turbidity and complexity of the sample matrix. The method's applicability for real-time monitoring and in-line detection is suggested but requires further integration with miniaturized systems.
1：Experimental Design and Method Selection:
The study utilized an electrochemically assisted SERS platform with Au-capped Si nanopillar SERS substrates for melamine detection in milk. The method involved controlling the applied potential on the SERS substrate to enhance analyte-surface interaction and enable sensor reuse.
2：Sample Selection and Data Sources:
Milk samples spiked with melamine were used. A gel filtration column was employed for sample pre-treatment to separate melamine from the milk matrix.
3：List of Experimental Equipment and Materials:
The platform included a Raman microscope, a potentiostat, and a custom-made electrochemical-SERS detection unit with a SERS chip as the working electrode.
4：Experimental Procedures and Operational Workflow:
The SERS chip was pre-conditioned, and measurements were performed at -0.8 V applied potential. The surface charge was reversed by applying a positive potential (0.8 V) for analyte removal.
5：8 V applied potential. The surface charge was reversed by applying a positive potential (8 V) for analyte removal.
Data Analysis Methods:
5. Data Analysis Methods: Data processing and quantitative analysis were performed using a custom-made toolbox extension in Matlab, focusing on the area under the curve for specific Raman peaks.
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