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Use of plastic-based analytical device, smartphone and chemometric tools to discriminate amines

机译:使用塑料的分析装置,智能手机和化学计量工具来辨别胺

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Amine-based volatile compounds released by microorganisms offer an alternative diagnostic approach for the identification of foodborne pathogens. Our objective has been to solvent cast cellulose acetate membranes to immobilise dyes and to use the resultant membranes as a plastic device to discriminate between different types of amines (triethylamine, isobutylamine, isopentylamine). The plastic device consisted of an array of membranes with five pH indicators (namely alizarin, bromophenol blue, chlorophenol red, methyl red and thymol blue). To analyse the data using a portable instrument, we used an iPhone? to obtain images and to extract red, green and blue colours ( RGB ) using in-house software before and after contact with each individual amine. All the RGB values extracted for each analyte allowed us to generate a unique colour pattern, which was used as input for non-supervised pattern recognition methods. Based on this analysis, it was possible to clearly discriminate between the amines studied without any misclassification, demonstrating that the device is well-suited for large-scale applications such as non-destructive methods to discriminate amines and, in future, for smart packaging applications in order to give early warning of rotting food that may lead to food poisoning. Additionally, a semi-quantitative analysis was performed and we have demonstrated that it is possible to quantify concentrations of amines down to 1 ppm.
机译:微生物释放的基于胺的挥发性化合物提供了识别食物载病原体的替代诊断方法。我们的目的是溶剂铸纤维素乙酸盐膜以固定染料并使用所得膜作为塑料装置,以区分不同类型的胺(三乙胺,异丁胺,异戊胺)。塑料装置由一系列膜组成,具有五个pH指示剂(即茜素,溴苯酚蓝,氯酚红色,甲基红色和胸腺蓝)。要使用便携式仪器分析数据,我们使用了iPhone?为了获得图像并在与每个胺接触之前和之后使用内部软件提取红色,绿色和蓝色(RGB)。为每个分析物提取的所有RGB值允许我们生成唯一的颜色模式,该颜色模式被用作非监督模式识别方法的输入。基于该分析,可以明确区分在没有任何错误分类的情况下研究的胺,表明该装置非常适合大规模应用,例如无损方法,以便在智能包装应用中辨别胺类和未来。为了给腐烂食物的预警可能导致食物中毒。另外,进行半定量分析,我们已经证明可以量化胺浓度下降至1ppm。

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