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呼气冷凝物中乙醇的数字图像比色测定法。

Digital image colorimetry for determination of ethanol in exhaled breath condensate.

机构信息

Pharmaceutical Analysis Research Center & Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran.

Department of Chemistry, University of Mohaghegh Ardabili, Ardabil, 1313156199, Iran.

出版信息

Bioanalysis. 2024 Feb;16(3):121-128. doi: 10.4155/bio-2023-0147. Epub 2024 Jan 16.

DOI:10.4155/bio-2023-0147
PMID:38226833
Abstract

This study aimed to develop a colorimetric approach for quantifying ethanol using smartphone image analysis. This research presents a straightforward smartphone-based colorimetric sensor that efficiently measures ethanol levels in exhaled breath condensate (EBC) samples. The process involved changing the acidic dichromate color in an ethanolic solution, followed by image analysis. The results showed that this method was able to estimate ethanol concentrations in the range of 300-1500 and 1600-8000 μg ml in EBC. This study was a follow-up study on the previous work published for the determination of ethanol in EBC samples and highlights the potential benefits of using digital images and smartphone applications for ethanol determination in biological samples.

摘要

本研究旨在开发一种使用智能手机图像分析定量乙醇的比色法。本研究提出了一种简单的基于智能手机的比色传感器,可有效地测量呼出气冷凝物(EBC)样品中的乙醇水平。该过程涉及改变乙醇溶液中酸性重铬酸盐的颜色,然后进行图像分析。结果表明,该方法能够估计 EBC 中 300-1500 和 1600-8000μg ml 范围内的乙醇浓度。本研究是之前发表的用于测定 EBC 样品中乙醇的工作的后续研究,强调了使用数字图像和智能手机应用程序进行生物样品中乙醇测定的潜在好处。

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