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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:16 |
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| Enthalten in: |
Bioanalysis - 16(2024), 3 vom: 01. Feb., Seite 121-128 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sefid-Sefidehkhan, Yasaman [VerfasserIn] |
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| Links: |
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| Themen: |
Biomarkers |
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| Anmerkungen: |
Date Completed 01.02.2024 Date Revised 01.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.4155/bio-2023-0147 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367173883 |
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| 520 | |a 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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| 700 | 1 | |a Pourkarim, Fariba |e verfasserin |4 aut | |
| 700 | 1 | |a Jouyban, Abolghasem |e verfasserin |4 aut | |
| 700 | 1 | |a Khoubnasabjafari, Maryam |e verfasserin |4 aut | |
| 700 | 1 | |a Jouyban-Gharamaleki, Vahid |e verfasserin |4 aut | |
| 700 | 1 | |a Rahimpour, Elaheh |e verfasserin |4 aut | |
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