数字图像比色法测定呼出气体冷凝物中的乙醇含量。

IF 1.9 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS Bioanalysis Pub Date : 2024-02-01 Epub Date: 2024-01-16 DOI:10.4155/bio-2023-0147

Yasaman Sefid-Sefidehkhan, Maryam Khoshkam, Samineh Raha, Fariba Pourkarim, Abolghasem Jouyban, Maryam Khoubnasabjafari, Vahid Jouyban-Gharamaleki, Elaheh Rahimpour

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引用次数: 0

摘要

目的：本研究旨在开发一种利用智能手机图像分析量化乙醇的比色法。方法：本研究提出了一种基于智能手机的直接比色传感器，可有效测量呼出气体冷凝物（EBC）样本中的乙醇含量。测量过程包括改变乙醇溶液中酸性重铬酸盐的颜色，然后进行图像分析。结果显示结果表明，该方法能够估算出 EBC 中的乙醇浓度范围为 300-1500 和 1600-8000 μg ml-1。结论这项研究是对之前发表的测定 EBC 样品中乙醇的工作的后续研究，突出了使用数字图像和智能手机应用测定生物样本中乙醇的潜在好处。

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

Aim: This study aimed to develop a colorimetric approach for quantifying ethanol using smartphone image analysis. Method: 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. Results: The results showed that this method was able to estimate ethanol concentrations in the range of 300-1500 and 1600-8000 μg ml^-1 in EBC. Conclusion: 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.

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来源期刊

Bioanalysis BIOCHEMICAL RESEARCH METHODS-CHEMISTRY, ANALYTICAL

CiteScore

3.30

自引率

16.70%

发文量

审稿时长

2 months

期刊介绍： Reliable data obtained from selective, sensitive and reproducible analysis of xenobiotics and biotics in biological samples is a fundamental and crucial part of every successful drug development program. The same principles can also apply to many other areas of research such as forensic science, toxicology and sports doping testing. The bioanalytical field incorporates sophisticated techniques linking sample preparation and advanced separations with MS and NMR detection systems, automation and robotics. Standards set by regulatory bodies regarding method development and validation increasingly define the boundaries between speed and quality. Bioanalysis is a progressive discipline for which the future holds many exciting opportunities to further reduce sample volumes, analysis cost and environmental impact, as well as to improve sensitivity, specificity, accuracy, efficiency, assay throughput, data quality, data handling and processing. The journal Bioanalysis focuses on the techniques and methods used for the detection or quantitative study of analytes in human or animal biological samples. Bioanalysis encourages the submission of articles describing forward-looking applications, including biosensors, microfluidics, miniaturized analytical devices, and new hyphenated and multi-dimensional techniques. Bioanalysis delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for the modern bioanalyst.