Zhu Mengjie, Wang Dun, Wang Du, Dong Jing, Wang Xue, Zhang Qi, Xiao Man
Xiangyang Academy of Agricultural Sciences, Xiangyang 441057, China.
Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Toxins (Basel). 2025 May 16;17(5):248. doi: 10.3390/toxins17050248.
Yellow rice wine is susceptible to aflatoxinB (AFB) contamination, yet existing detection technologies suffer from limitations such as high false-positive rates, cumbersome operational protocols, or elevated costs, rendering them inadequate for large-scale screening requirements. Consequently, the development of a highly sensitive and rapid detection method for AFB is urgently needed to provide technical support for quality supervision and risk assessment of yellow rice wine. In this study, AFB detection was performed using time-resolved fluorescence immunoassay technology, with quantitative analysis based on the ratio of the T signal value of the detection line to the C signal value of the quality control line and the natural logarithmic value of the standard solution concentration. Statistical experimental designs were used to optimize the process of this rapid detection of AFB in yellow rice wine. The most important factors influencing recovery rate ( < 0.05), as identified by a two-level Plackett-Burman design with 11 variables, were methanol-water volume fraction, sample to extraction solvent ratio, heating temperature, and heating time. The steepest ascent method was employed to identify the optimal regions for these four key factors. Central composite design (CCD) coupled with response surface methodology (RSM) was subsequently utilized to further explore the interactive effects among variables and determine their optimal values that maximize the recovery rate. The analysis results indicated that interactions between methanol-water volume fraction and other three factors-sample to extraction solvent ratio, heating temperature, heating time-affected the response variable (recovery rate) significantly. The predicted results showed that the maximum recovery rate of AFB (97.35%) could be obtained under the optimum conditions of a methanol-water volume fraction of 78%, a sample to extraction solvent ratio of 1:3.2, a heating temperature of 34 °C, and a heating time of 6.4 min. These predicted values were further verified by validation experiments. The excellent correlation between predicted and experimental values confirmed the validity and practicability of this statistical optimum strategy. Optimal conditions obtained in this experiment laid a good foundation for further use of time-resolved fluorescence immunoassay for rapid detection of AFB in yellow rice wine, demonstrating broad application prospects.
黄酒易受黄曲霉毒素B(AFB)污染,但现有检测技术存在假阳性率高、操作流程繁琐或成本高等局限性,无法满足大规模筛查需求。因此,迫切需要开发一种高灵敏度、快速的AFB检测方法,为黄酒质量监管和风险评估提供技术支持。本研究采用时间分辨荧光免疫分析技术进行AFB检测,基于检测线T信号值与质控线C信号值的比值以及标准溶液浓度的自然对数值进行定量分析。采用统计实验设计优化黄酒中AFB快速检测的过程。通过具有11个变量的二级Plackett-Burman设计确定,影响回收率(<0.05)的最重要因素是甲醇-水体积分数、样品与提取溶剂的比例、加热温度和加热时间。采用最速上升法确定这四个关键因素的最佳区域。随后利用中心复合设计(CCD)结合响应面法(RSM)进一步探究变量之间的交互作用,并确定使回收率最大化的最佳值。分析结果表明,甲醇-水体积分数与其他三个因素(样品与提取溶剂的比例、加热温度、加热时间)之间的相互作用对响应变量(回收率)有显著影响。预测结果表明,在甲醇-水体积分数为78%、样品与提取溶剂的比例为1:3.2、加热温度为34℃、加热时间为6.4分钟的最佳条件下,AFB的最大回收率可达97.35%。这些预测值通过验证实验得到进一步验证。预测值与实验值之间的良好相关性证实了该统计优化策略的有效性和实用性。本实验获得的最佳条件为进一步利用时间分辨荧光免疫分析技术快速检测黄酒中的AFB奠定了良好基础,具有广阔的应用前景。