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Mobile Application for Determining the Concentration of Sulfonamides in Water Using Digital Image Colorimetry

机译:使用数字图像比色法测定水中磺胺类药物浓度的移动应用程序

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Antibiotics are widely applied for the treatment of humans and animals, being the Sulfonamides a special group. The presence of antibiotics in the aquatic environment causes the development antibiotic-resistant bacteria, which is related to the emerging of untreatable infectious diseases. One of the most common methods for determine it consists in high-performance liquid chromatography coupled with mass spectrom-etrym, which is not suitable for an in situ analysis strategy.One important property of sulfonamides is how the compound reacts when added the colorimetric reagent p-dimethylaminocinnamaldehyde, opening the possibility of using colorimetry to measure the concentration. To allow an analysis on the field, the solution needs to be fully mobile and practical. In this context, we recently developed a new screening method based on a computational application running over a picture of the sample; however, despite this approach improving the analysis process when compared to traditional methods, it is still not fully mobile.Smartphones' computational capabilities are increasing and more powerful than many laptops of older generations. Taking this into account, we developed a mobile analysis application that leverages the computing power and ease of use of a smartphone. The acquired picture will pass through a color correction algorithm to normalize the capture considering the environmental lighting. When the algorithm finishes processing the image, the app will return the estimated concentration of the sample. This approach enables in situ analysis, without requiring an Internet connection nor specific analysis equipment, and the ability to have a rather precise guess of the level of contamination of any water.
机译:抗生素被广泛应用于人类和动物的治疗,磺胺类药物是一个特殊的类别。水环境中抗生素的存在会导致产生抗抗生素细菌,这与无法治疗的传染病的出现有关。测定它的最常用方法之一是高效液相色谱与质谱联用,这不适用于原位分析策略。磺胺类药物的一个重要特性是,当添加比色试剂对二甲氨基肉桂醛时,该化合物如何反应,这为使用比色法测量浓度提供了可能性。为了进行现场分析,解决方案需要完全可移动且实用。在这种情况下,我们最近开发了一种新的筛选方法,该方法基于在样本图片上运行的计算应用程序;然而,尽管与传统方法相比,这种方法改进了分析过程,但它仍然不能完全移动。智能手机的计算能力正在增长,比许多老一辈的笔记本电脑更强大。考虑到这一点,我们开发了一个移动分析应用程序,利用智能手机的计算能力和易用性。获取的图片将经过颜色校正算法,以在考虑环境照明的情况下对捕获进行归一化。当算法完成图像处理后,应用程序将返回样本的估计浓度。这种方法可以进行现场分析,不需要互联网连接或特定的分析设备,并且能够对任何水的污染程度进行相当精确的猜测。

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