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

机译：使用基于塑料的分析设备，智能手机和化学计量工具来区分胺

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Amine-based volatile compounds released bymicroorganisms 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 (R) 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为鉴定食源性病原体提供了另一种诊断方法。我们的目标是溶剂浇铸醋酸纤维素膜以固定染料，并将所得膜用作塑料设备以区分不同类型的胺（三乙胺，异丁胺，异戊胺）。该塑料装置由带有五个pH指示剂的膜阵列组成（即茜素，溴酚蓝，氯酚红，甲基红和百里酚蓝）。为了使用便携式仪器分析数据，我们在与每种胺接触之前和之后，使用iPhone（R）获取图像并使用内部软件提取红色，绿色和蓝色（RGB）。为每种分析物提取的所有RGB值均允许我们生成独特的颜色模式，该颜色模式用作非监督模式识别方法的输入。基于此分析，可以清楚地区分所研究的胺类，而不会发生任何错误分类，这表明该设备非常适合用于大规模应用，例如非破坏性的方法来识别胺类，以及未来的智能包装应用为了提前警告可能会导致食物中毒的食物腐烂。另外，进行了半定量分析，我们证明了可以定量低至1 ppm的胺浓度。

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