QUICK: Quality and Usability Investigation and Control Kit for Mass Spectrometric Data from Detection of Persistent Organic Pollutants.
Wenjing GuoJeffrey ArcherMorgan MooreJeffrey BruceMichelle McLainSina ShojaeeWen ZouLinda A BenjaminAnthony AdeuyaRussell FairchildHuixiao HongPublished in: International journal of environmental research and public health (2019)
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-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'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.
Keyphrases
- electronic health record
- quality control
- mass spectrometry
- gas chromatography
- quality improvement
- health information
- endothelial cells
- big data
- data analysis
- healthcare
- decision making
- randomized controlled trial
- liquid chromatography
- public health
- mental health
- adverse drug
- heavy metals
- human health
- high resolution
- oxidative stress
- drug administration
- tandem mass spectrometry
- risk assessment
- climate change
- machine learning
- high resolution mass spectrometry
- high performance liquid chromatography
- ms ms
- real time pcr
- label free
- quantum dots
- simultaneous determination