QUICK: Quality and Usability Investigation and Control Kit for Mass Spectrometric Data from Detection of Persistent Organic Pollutants
| Autor: | Jeffrey Bruce, Sina Shojaee, Wen Zou, Jeffrey C. Archer, Anthony Adeuya, Russell Fairchild, Huixiao Hong, Linda A. Benjamin, Michelle McLain, Wenjing Guo, Morgan Moore |
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| Rok vydání: | 2019 |
| Předmět: |
Time Factors
Computer science Health Toxicology and Mutagenesis lcsh:Medicine persistent organic pollutants 02 engineering and technology computer.software_genre 01 natural sciences Article Gas Chromatography-Mass Spectrometry Food and drug administration data usability Software Image Processing Computer-Assisted Animals Humans quality control Organic Chemicals Pollutant Database business.industry lcsh:R 010401 analytical chemistry Public Health Environmental and Occupational Health Reproducibility of Results Quality control Usability 021001 nanoscience & nanotechnology Mass spectrometric 0104 chemical sciences Environmental Pollutants gas chromatography–mass spectrometry (GC–MS) 0210 nano-technology business computer |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 16, Iss 21, p 4203 (2019) Volume 16 Issue 21 |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph16214203 |
| Popis: | Persistent organic pollutants (POPs) cause a significant public and environmental health concern due to their toxicity, long-range transportability, persistence, and bioaccumulation. The US Food and Drug Administration (FDA) has a program to monitor POPs in human and animal foods at ultra-trace levels, using gas chromatography coupled with mass spectrometry (GC&ndash MS). Stringent quality control procedures are practiced within this program, ensuring the reliability and accuracy of these POP results. Due to the complexity of this program&rsquo s quality control (QC), the decision-making process for data usability was very time-consuming, upward of three analyst hours for a batch of six extracts. We significantly reduced this time by developing a software kit, written in Python, to evaluate instrument and sample QC, along with data usability. A diverse set of 45 samples were tested using our software, QUICK (Quality and Usability Investigation and Control Kit), that resulted in equivalent results provided by a human reviewer. The software improved the efficiency of the analytical process by reducing the need for user intervention, while simultaneously recognizing a 95% decrease in data reduction time, from 3 hours to 10 minutes. |
| Databáze: | OpenAIRE |
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