Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MS
The aim of this study was to improve the extraction method for urinary organic acids by miniaturizing and automating the process. Currently, manual extraction methods are commonly used, which can be time-consuming and lead to variations in test results. To address these issues, we reassessed and min...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/28/15/5927 |
| _version_ | 1797586221344489472 |
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| author | Masauso Moses Phiri Elmarie Davoren Barend Christiaan Vorster |
| author_facet | Masauso Moses Phiri Elmarie Davoren Barend Christiaan Vorster |
| author_sort | Masauso Moses Phiri |
| collection | DOAJ |
| description | The aim of this study was to improve the extraction method for urinary organic acids by miniaturizing and automating the process. Currently, manual extraction methods are commonly used, which can be time-consuming and lead to variations in test results. To address these issues, we reassessed and miniaturized the in-house extraction method, reducing the number of steps and the sample-to-solvent volumes required. The evaluated miniaturized method was translated into an automated extraction procedure on a MicroLab (ML) Star (Hamilton Technologies) liquid handler. This was then validated using samples obtained from the ERNDIM External Quality Assurance program. The organic acid extraction method was successfully miniaturized and automated using the Autosampler robot. The linear range for most of the thirteen standard analytes fell between 0 to 300 mg/L in spiked synthetic urine, with low (50 mg/L), medium (100 mg/L), and high (500 mg/L) levels. The correlation coefficient (r) for most analytes was >0.99, indicating a strong relationship between the measured values. Furthermore, the automated extraction method demonstrated acceptable precision, as most organic acids had coefficients of variation (CVs) below 20%. In conclusion, the automated extraction method provided comparable or even superior results compared to the current in-house method. It has the potential to reduce solvent volumes used during extraction, increase sample throughput, and minimize variability and random errors in routine diagnostic settings. |
| first_indexed | 2024-03-11T00:20:21Z |
| format | Article |
| id | doaj.art-3e1af39d7ad746798a26603bd2ab8a05 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-11T00:20:21Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-3e1af39d7ad746798a26603bd2ab8a052023-11-18T23:20:44ZengMDPI AGMolecules1420-30492023-08-012815592710.3390/molecules28155927Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MSMasauso Moses Phiri0Elmarie Davoren1Barend Christiaan Vorster2Department of Pathology and Microbiology, School of Medicine, University of Zambia, Lusaka 10101, ZambiaCentre for Human Metabolomics, North-West University, Potchefstroom 2531, South AfricaCentre for Human Metabolomics, North-West University, Potchefstroom 2531, South AfricaThe aim of this study was to improve the extraction method for urinary organic acids by miniaturizing and automating the process. Currently, manual extraction methods are commonly used, which can be time-consuming and lead to variations in test results. To address these issues, we reassessed and miniaturized the in-house extraction method, reducing the number of steps and the sample-to-solvent volumes required. The evaluated miniaturized method was translated into an automated extraction procedure on a MicroLab (ML) Star (Hamilton Technologies) liquid handler. This was then validated using samples obtained from the ERNDIM External Quality Assurance program. The organic acid extraction method was successfully miniaturized and automated using the Autosampler robot. The linear range for most of the thirteen standard analytes fell between 0 to 300 mg/L in spiked synthetic urine, with low (50 mg/L), medium (100 mg/L), and high (500 mg/L) levels. The correlation coefficient (r) for most analytes was >0.99, indicating a strong relationship between the measured values. Furthermore, the automated extraction method demonstrated acceptable precision, as most organic acids had coefficients of variation (CVs) below 20%. In conclusion, the automated extraction method provided comparable or even superior results compared to the current in-house method. It has the potential to reduce solvent volumes used during extraction, increase sample throughput, and minimize variability and random errors in routine diagnostic settings.https://www.mdpi.com/1420-3049/28/15/5927organic acidsliquid-liquid extractionautomationminiaturizationmethod validation |
| spellingShingle | Masauso Moses Phiri Elmarie Davoren Barend Christiaan Vorster Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MS Molecules organic acids liquid-liquid extraction automation miniaturization method validation |
| title | Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MS |
| title_full | Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MS |
| title_fullStr | Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MS |
| title_full_unstemmed | Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MS |
| title_short | Miniaturization and Automation Protocol of a Urinary Organic Acid Liquid-Liquid Extraction Method on GC-MS |
| title_sort | miniaturization and automation protocol of a urinary organic acid liquid liquid extraction method on gc ms |
| topic | organic acids liquid-liquid extraction automation miniaturization method validation |
| url | https://www.mdpi.com/1420-3049/28/15/5927 |
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