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Chronoprints: Identifying Samples by Visualizing How They Change over Space and Time

机译:时序图:通过可视化样本随时间和空间的变化来识别样本

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The modern tools of chemistry excel at identifying a sample, but the cost, size, complexity, and power consumption of these instruments often preclude their use in resource-limited settings. In this work, we demonstrate a simple and low-cost method for identifying a sample based on visualizing how the sample changes over space and time in response to a perturbation. Different types of perturbations could be used, and in this proof-of-concept we use a dynamic temperature gradient that rapidly cools different parts of the sample at different rates. We accomplish this by first loading several samples into long parallel channels on a “microfluidic thermometer chip.” We then immerse one end of the chip in liquid nitrogen to create a dynamic temperature gradient along the channels, and we use an inexpensive USB microscope to record a video of how the samples respond to the changing temperature gradient. The video is then converted into several bitmap images (one per sample) that capture each sample’s response to the perturbation in both space (the y-axis; the distance along the dynamic temperature gradient) and time (the x-axis); we call these images “chronological fingerprints” or “chronoprints” of each sample. If two samples’ chronoprints are similar, this suggests that the samples are the same chemical substance or mixture, but if two samples’ chronoprints are significantly different, this proves that the samples are chemically different. Since chronoprints are just bitmap images, they can be compared using a variety of techniques from computer science, and in this work we use three different image comparison algorithms to quantify chronoprint similarity. As a demonstration of the versatility of chronoprints, we use them in three different applications: distinguishing authentic olive oil from adulterated oil (an example of the over $10 billion global problem of food fraud), identifying adulterated or counterfeit medication (which represents around 10% of all medication in low- and middle-income countries), and distinguishing the occasionally confused pharmaceutical ingredients glycerol and diethylene glycol (whose accidental or intentional substitution has led to hundreds of deaths). The simplicity and versatility of chronoprints should make them valuable analytical tools in a variety of different fields.
机译:现代化学工具擅长鉴定样品,但这些仪器的成本,尺寸,复杂性和功耗通常会使其无法在资源有限的环境中使用。在这项工作中,我们展示了一种简单且低成本的方法,该方法基于可视化样品如何响应扰动随时间和空间变化而识别样品的方法。可以使用不同类型的扰动,并且在此概念验证中,我们使用动态温度梯度以不同的速率快速冷却样品的不同部分。为此,我们首先将几个样本加载到“微流体温度计芯片”上的长并行通道中。然后,我们将芯片的一端浸入液氮中,以沿通道产生动态温度梯度,然后使用便宜的USB显微镜记录有关样品如何响应温度梯度变化的视频。然后将视频转换成几个位图图像(每个样本一个),以捕获每个样本对空间(y轴;沿动态温度梯度的距离)和时间(x轴)中的摄动的响应;我们称这些图像为每个样本的“年代学指纹”或“年代记”。如果两个样品的历时相似,则表明样品是相同的化学物质或混合物,但是如果两个样品的历时显着不同,则表明样品在化学上不同。由于计时码表只是位图图像,因此可以使用计算机科学中的多种技术对其进行比较,在这项工作中,我们使用三种不同的图像比较算法来量化计时码表的相似性。为了证明计时码表的多功能性,我们将其用于三种不同的应用:区分纯正橄榄油和掺假橄榄油(全球食品欺诈问题超过100亿美元的一个例子),识别掺假或假冒药品(约占10%)中低收入国家/地区的所有药物),并区分偶尔混淆的药物成分甘油和二甘醇(意外或故意替代导致数百人死亡)。计时码表的简单性和多功能性应使其成为各种不同领域的重要分析工具。

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