研究目的
To find a more suitable fluorescent detection method for quantitative detection of AFB1 in grains by comparing TRFN, QB and QD as labels in fluorescent immunochromatography.
研究成果
TRFN-FICA exhibited the best performance with the least immune reagent consumption, shortest immunoassay duration, and lowest LOD, making it more suitable for quantitative detection of AFB1 in grains when considering sensitivity, rapidity, and cost-effectiveness.
研究不足
The study focused on six types of grains and AFB1 detection. The comparison was limited to TRFN, QB, and QD as labels. Potential areas for optimization include expanding the range of mycotoxins and food matrices tested.
1：Experimental Design and Method Selection
The study systematically and comprehensively compared TRFN-FICA, QB-FICA and QD-FICA for the quantitative detection of AFB1 in six grains under optimum conditions.
2：Sample Selection and Data Sources
Six types of grain samples (corn, soybeans, sorghum, wheat, rice and oat) were analyzed. Samples were prepared by grinding into powder, extracting with methanol/water solution, and diluting with sample buffer solution.
3：List of Experimental Equipment and Materials
Time-resolved fluorescent nanobeads (TRFN), carboxylated quantum dot nanobeads (QB), quantum dots (QD), anti-AFB1 monoclonal antibody, coating antigen (AFB1-CMO-BSA), and various chemicals were used. Equipment included a fluorescence immunochromatography quantitative analyzer, transmission electron microscope, and particle size analyzer.
4：Experimental Procedures and Operational Workflow
The preparation of labeled antibody probes, preparation of fluorescence immunochromatography assay strips, sample preparation and detection, and establishment of quantitative calibration curves were detailed.
5：Data Analysis Methods
Data were analyzed using a four-parameter logistic equation. The sensitivity, specificity, accuracy, and precision of the FICAs were evaluated.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
