Low cost optical device for detection of fluorescence from Ochratoxin A using a CMOS sensor
Low cost optical device for detection of fluorescence from Ochratoxin A using a CMOS sensor
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DOI：
10.1016/j.snb.2017.02.097
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发表时间：
2017-07-01
影响因子：
8.4
通讯作者：
Marty, Jean Louis
中科院分区：
文献类型：
--
作者：
Bueno Hernandez, Diana;Mishra, Rupesh K.;Marty, Jean Louis
本文描述了一种便携式且低成本的荧光装置，该装置利用一种开发的系统对实际样品中赭曲霉毒素A（OTA）的浓度进行定量。通过该装置进行的检测包括一个365nm的紫外光源和一个由在MATLAB中设计的可执行界面控制的CMOS传感器，从图像采集到处理再到显示耗时20秒。据报道，OTA具有天然荧光性，因此使用者可以在激发条件下获取OTA的照片并对图像进行处理，从而预测样品的浓度。为了自动地捕获和处理图像，该系统完全基于红、绿、蓝（RGB）成分。对于每种OTA浓度，获取并绘制R、G、B坐标以对样品中存在的霉菌毒素进行定量。在5 - 40μg/L的浓度范围内获得了OTA的线性关系。对免疫亲和柱（IAC）和分子印迹聚合物柱（MIP）进行了比较。在啤酒样品中，使用IAC对2μg/L的OTA记录到的最大回收率为107.76%。所得结果使用高效液相色谱（HPLC）法进行了交叉验证。所开发的装置易于使用、经济且便携。（c）2017爱思唯尔有限公司。保留所有权利。
This manuscript describes a portable and low cost fluorescence set-up to quantify the concentrations of Ochratoxin A (OTA) in real samples using a developed system. The detection through the set up consist of an ultraviolet light at 365 nm and a CMOS sensor controlled by an executable interface designed in MAT-LAB, with a time consumed from acquisition to processing to image display of 20 seconds. It is reported that OTA is naturally fluorescent, so it allows the user to get a photograph of the OTA under excitation conditions and process the image in order to predict the concentrations of the sample. To capture and process the image, in an automatically manner, the system was completely based on the Red, Green and Blue (RGB) components. For each concentration of the OTA, the R, G, B coordinates were obtained and plotted to quantify the mycotoxin presented in the sample. The linearity for OTA was obtained in the concentrations range of 5-40 mu g/L. Immunoaffinity columns (IAC) and molecular imprinted polymer columns (MIP) were compared. The maximum recovery of 107.76% was recorded for 2 mu g/L of OTA using IAC in beer samples. The obtained results were cross validated using chromatographic method HPLC. The developed setup is easy to use, economical and portable. (c) 2017 Elsevier B.V. All rights reserved.