智能手机数字图像分析法测定呼出液中美沙酮的现场试验。

Yasaman Sefid-Sefidehkhan, Abolghasem Jouyban, Jafar Soleymani, Maryam Khoubnasabjafari, Vahid Jouyban-Gharamaleki, Elaheh Rahimpour
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引用次数: 0

摘要

在这项工作中,我们探索了现场测试与智能手机图像分析相结合的潜力,作为一种快速、简单、低成本和环保的方法来识别美沙酮浓度。在此,碳金纳米复合材料被用于在不同浓度的美沙酮下产生颜色变化。将数字图像比色法所得数据与紫外可见光谱法所得数据进行了比较。该方法还用于广泛的优化和验证程序。通过图像分析,利用PhotoMetrix智能手机应用程序,对采集到的图像进行单变量校准,即可得到。该程序自动计算和处理来自智能手机相机的图像直方图,以确定生物样品中美沙酮的浓度。为了进一步分析,PARAFAC的多元校准技术也可以用于MATLAB程序内拍摄的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spot test with smartphone digital image analysis for determination of methadone in exhaled breath condensate.

In this work, we explored the potential of the spot test combined with image analysis using smartphones as a rapid, simple, low-cost, and environmentally friendly method for identifying methadone concentration. Herein, a carbon-gold nanocomposite has been used to generate color variation at different concentrations of methadone. The data obtained from the digital image colorimetric method was compared with those from the UV-Vis spectroscopy as a standard technique. This method was also utilized for extensive optimization and validation procedures. Through image analysis, it can be obtained with the PhotoMetrix smartphone App. and single-variable calibration of collected images. This program computes and processes image histograms from the smartphone camera automatically to determine the concentration of methadone in biological samples. For further analysis, the multivariate calibration technique of PARAFAC can also be used on the images that were taken inside the MATLAB program.

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