Department of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, 8092, Zürich, Switzerland; CSEM SA, Centre Landquart, Bahnhofstrasse 1, 7302, Landquart, Switzerland.
CSEM SA, Centre Landquart, Bahnhofstrasse 1, 7302, Landquart, Switzerland.
Anal Chim Acta. 2022 Aug 15;1221:340118. doi: 10.1016/j.aca.2022.340118. Epub 2022 Jun 24.
Considering the complexities and speed of modern food chains, there is an increasing demand for point-of-need detection of food contaminants, particularly highly regulated chemicals and carcinogens such as aflatoxin B1. We report a user-friendly smartphone-based magneto-immunosensor on carbon black modified electrodes for point-of-need detection of aflatoxin B1 in cereals. For buffered analyte solutions and a corn extract sample, the assay demonstrated a low limit of detection of 13 and 24 pg/mL, respectively. The assay was also highly reproducible, exhibiting mean relative standard deviations of 3.7% and 4.0% for the buffered analyte and corn extract samples. The applicability of the assay was validated on the basis of EU guidelines and the detection capability was lower than or equal to 2 μg/kg, which is the EU maximum residue limit for aflatoxin B1 in cereals. False-positive and false-negative rates were less than 5%. Additionally, an open-source android application, AflaESense, was designed to provide a simple interface that displays the result in a traffic-light-type format, thus minimizing user training and time for data analysis. AflaESense was used for smartphone-based screening of spiked corn samples containing aflatoxin B1 (0.1, 2, and 10 ng/mL), and naturally contaminated corn containing 0.15 ng aflatoxin B1/mL. The measured values were in close agreement with spiked concentrations (r = 0.99), with recovery values ranging between 80 and 120%. Finally, contaminated samples correctly triggered a red alert while the non-contaminated samples led to the display of a green color of AflaESense. To the best of our knowledge, this is the first smartphone-based electrochemical system effective for screening samples for contamination with aflatoxin B1.
考虑到现代食物链的复杂性和速度,人们对现场即时检测食品污染物的需求日益增加,尤其是对高度监管的化学物质和致癌物质如黄曲霉毒素 B1 的检测。我们报告了一种基于智能手机的简便易用的磁免疫传感器,该传感器基于碳黑修饰电极,用于现场即时检测谷物中的黄曲霉毒素 B1。对于缓冲分析物溶液和玉米提取物样品,该测定法的检测限分别低至 13 和 24 pg/mL。该测定法还具有高度重现性,对于缓冲分析物和玉米提取物样品,平均相对标准偏差分别为 3.7%和 4.0%。该测定法的适用性基于欧盟指南进行了验证,其检测能力低于或等于 2 μg/kg,这是欧盟规定的谷物中黄曲霉毒素 B1 的最大残留限量。假阳性和假阴性率均小于 5%。此外,还设计了一个开源的安卓应用程序 AflaESense,提供了一个简单的界面,以交通信号灯的形式显示结果,从而最大限度地减少用户培训和数据分析时间。AflaESense 用于基于智能手机的检测含黄曲霉毒素 B1 的玉米样品(0.1、2 和 10 ng/mL)和含有 0.15 ng 黄曲霉毒素 B1/mL 的天然污染玉米样品的筛查。测量值与加标浓度非常吻合(r = 0.99),回收率在 80%至 120%之间。最后,污染样品正确触发红色警报,而非污染样品显示 AflaESense 的绿色。据我们所知,这是首个可有效用于筛查黄曲霉毒素 B1 污染样品的基于智能手机的电化学系统。