研究目的
To develop a multicolor multiplex lateral flow immunoassay (xLFIA) using gold and silver nanoparticles for the simultaneous detection of food allergens.
研究成果
The study successfully developed a multicolor multiplex lateral flow immunoassay (xLFIA) using gold and silver nanoparticles for the simultaneous detection of food allergens. The assay was able to detect allergenic proteins at levels as low as 0.1 mg/l and enabled the easy identification of allergens in commercial biscuits based on the color of the probes. The use of differently colored probes facilitated the interpretation of assay results, making it a step towards enabling 2-D multiplexing LFAs.
研究不足
The study mentions the limited stability over time of silver nanoparticles and the difficulty of producing monodisperse nanoparticles as potential shortcomings. Additionally, the need for a higher amount of the AgNP probe compared to gold-based nanoparticles due to different extinction coefficients and the yellow color being hardly perceived on the white membrane background is noted.
1:Experimental Design and Method Selection:
The study involved the synthesis of silver nanoparticles (AgNPs) and two types of gold nanoparticles (AuNPs) with different shapes and colors. These nanoparticles were used as probes in a lateral flow immunoassay (LFIA) for detecting allergens.
2:Sample Selection and Data Sources:
The study used standard solutions of allergens (casein, ovalbumin, and hazelnut proteins) and commercial biscuit samples.
3:List of Experimental Equipment and Materials:
Equipment included a Varian Cary 1E spectrophotometer, a Jeol 3010-UHR high-resolution transmission electron microscope (HR-TEM), and an XYZ3050 platform for coating capturing reagents. Materials included nitrocellulose membranes, absorbent cellulose pads, glass fiber conjugate pads, and LFIA cassettes.
4:Experimental Procedures and Operational Workflow:
The procedure involved the synthesis of nanoparticles, conjugation of antibodies to nanoparticles, fabrication of the xLFIA device, and testing of the device with allergen standards and biscuit samples.
5:Data Analysis Methods:
The results were evaluated visually by operators and quantified using QuantiScan 3.0 software from images obtained by a portable scanner.
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