Sun Zongbao, Li Chen, Wu Zhiwei, Jiang Xinrong, Zhao Fei, Guo Wang, Guo Yiqing, Yu Qingqing, Zou Xiaobo, Yang Ning
Department of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
The Quality Monitoring Center for Food and Strategic Reserves of Zhenjiang City, Zhenjiang, Jiangsu 212001, China.
Anal Chem. 2025 May 27;97(20):10646-10654. doi: 10.1021/acs.analchem.5c00437. Epub 2025 May 5.
Mycotoxin contamination frequently causes considerable food safety problems. Unfortunately, for on-site mycotoxin detection, the experimental continuity and the stability of the results are affected by human operation in the sample pretreatment process, which brings a series of errors and further affects the experiment. Considering that, a centrifugal microfluidic chip is developed for the continuous automatic operation of each preprocessing step, which can simultaneously pretreat ochratoxin A (OTA), deoxynivalenol (DON), and aflatoxin B1 (AFB1) with high throughput under optimal conditions. More importantly, the time-series impedance method is proposed for detection, which amplifies the signal difference of the three mycotoxins and provides better high temporal resolution. The whole on-chip pretreatment and detection took only 15 min. To further improve the advantage of the proposed sensor, the MXene@AuNPs modified electrode is proposed to obtain superb detection performance with high sensitivity. The standard curves of the three mycotoxins are established for accurate quantitative analysis. Variances of OTA, DON, and AFB1 standard curves are 0.9839, 0.9888, and 0.9793, respectively. The detection limits of OTA, DON, and AFB1 are 7.1 ng/L, 1.24 μg/L, and 11.8 ng/L. The average recovery of this method ranges from 94.0 to 106.1%, indicating good reliability and reproducibility. Moreover, the developed method exhibits negligible cross-reactions with other mycotoxins. This technique can be used for the early detection of mycotoxins, with great prospects and potential application for on-site instant detection.
霉菌毒素污染经常引发相当严重的食品安全问题。不幸的是,对于现场霉菌毒素检测而言,在样品预处理过程中,实验的连续性以及结果的稳定性会受到人工操作的影响,这会带来一系列误差,进而影响实验。考虑到这一点,开发了一种离心微流控芯片,用于每个预处理步骤的连续自动操作,该芯片能够在最佳条件下以高通量同时预处理赭曲霉毒素A(OTA)、脱氧雪腐镰刀菌烯醇(DON)和黄曲霉毒素B1(AFB1)。更重要的是,提出了时间序列阻抗法进行检测,该方法放大了三种霉菌毒素的信号差异,并提供了更好的高时间分辨率。整个芯片上的预处理和检测仅需15分钟。为了进一步提升所提出传感器的优势,提出了MXene@AuNPs修饰电极以获得具有高灵敏度的卓越检测性能。建立了三种霉菌毒素的标准曲线用于准确的定量分析。OTA、DON和AFB1标准曲线的方差分别为0.9839、0.9888和0.9793。OTA、DON和AFB1的检测限分别为7.1 ng/L、1.24 μg/L和11.8 ng/L。该方法的平均回收率在94.0%至106.1%之间,表明具有良好的可靠性和重现性。此外,所开发的方法与其他霉菌毒素的交叉反应可忽略不计。该技术可用于霉菌毒素的早期检测,具有广阔的前景和现场即时检测的潜在应用价值。