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Estimation of Sulfonamides Concentration in Water Based on Digital Colourimetry

机译:基于数字比色法估算水中的磺酰胺浓度

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Overuse of antibiotics is causing the environment to become polluted with them. This is a major threat to global health, with bacteria developing resistance to antibiotics because of it. To monitor this threat, multiple antibiotic detection methods have been developed; however, they are normally complex and costly. In this work, an affordable, easy to use alternative based on digital colourimetry is proposed. Photographs of samples next to a colour reference target were acquired to build a dataset. The algorithm proposed detects the reference target, based on binarisation algorithms, in order to standardise the collected images using a colour correction matrix converting from RGB to XYZ, providing a necessary colour constancy between photographs from different devices. Afterwards, the sample is extracted through edge detection and Hough transform algorithms. Finally, the sulfonamide concentration is estimated resorting to an experimentally designed calibration curve, which correlates the concentration and colour information. Best performance was obtained using Hue colour, achieving a relative standard deviation value of less than 3.5%.
机译:抗生素的过度使用导致环境被它们污染。这是对全球健康的主要威胁,细菌因此而对抗生素产生抗药性。为了监测这种威胁,已经开发了多种抗生素检测方法。然而,它们通常是复杂且昂贵的。在这项工作中,提出了一种基于数字比色法的负担得起,易于使用的替代方法。采集颜色参考目标旁边的样本照片以建立数据集。提出的算法基于二值化算法检测参考目标,以便使用从RGB转换为XYZ的颜色校正矩阵对收集的图像进行标准化,从而在不同设备的照片之间提供必要的颜色恒定性。然后,通过边缘检测和霍夫变换算法提取样本。最后,根据实验设计的校正曲线估算磺酰胺浓度,该校正曲线将浓度和颜色信息关联起来。使用色相获得最佳性能,相对标准偏差值小于3.5%。

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