Université Paris 13, Sorbonne Paris Cité, Laboratoire CSPBAT, CNRS, (UMR 7244), 74 rue Marcel Cachin, F-93017 Bobigny, France.
Analyst. 2017 Dec 18;143(1):339-345. doi: 10.1039/c7an01730h.
The trace detection of toxic compounds in complex matrices is a major concern, in particular when it comes to mycotoxins in food. We developed a highly sensitive and specific SERS sensor for the detection of ochratoxin A using a simple rough gold film as a substrate. When adding the analyte, we observed spectral variations related to the interaction of the analyte with the specific aptamer used as a bioreceptor. Using a partial least squares regression method, our sensor is able to detect concentrations down to the picomolar range, which is much lower than the minimum legal concentration allowed in food products. Moreover, we demonstrate the accurate detection of the analyte in a wide concentration range from the picomolar up to the micromolar level. The detection was validated with negative detection tests using deoxynivalenol and bovine serum albumin.
痕量检测复杂基质中的有毒化合物是一个主要关注点，特别是在食品中的真菌毒素检测方面。我们使用简单的粗糙金膜作为基底，开发了一种用于检测赭曲霉毒素 A 的高灵敏度和特异性 SERS 传感器。当添加分析物时，我们观察到与分析物与用作生物受体的特定适配体相互作用相关的光谱变化。使用偏最小二乘回归方法，我们的传感器能够检测低至皮摩尔浓度的分析物，这远低于食品中允许的最低法定浓度。此外，我们证明了该传感器能够在从皮摩尔到微摩尔的宽浓度范围内准确检测分析物。通过使用脱氧雪腐镰刀菌烯醇和牛血清白蛋白进行阴性检测试验，对检测进行了验证。
