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Statistical Optimization of Urinary Organic Acids Analysis by a Multi-Factorial Design of Experiment
- Source :
- Analytica—A Journal of Analytical Chemistry and Chemical Analysis, Volume 1, Issue 1, Pages 3-23
- Publication Year :
- 2020
-
Abstract
- The analysis of urinary organic acids is useful for patients suspected to have inborn errors of metabolism known as organic acidurias. These diseases cause an accumulation of organic acids in body fluids and their abnormal excretion in urines. By means of chemometrics tools, such as principal component analysis and multiple linear regression, it was concluded that the conditions used in our laboratory are really the most suitable to achieve high yields of analytes.
- Subjects :
- 0303 health sciences
Analyte
acylglycines
Chromatography
organic acidurias
Chemistry
010401 analytical chemistry
inborn errors of metabolism
General Medicine
Factorial experiment
Urine
01 natural sciences
urine
0104 chemical sciences
Excretion
Chemometrics
03 medical and health sciences
doe
Principal component analysis
Linear regression
GC-MS
Gas chromatography–mass spectrometry
030304 developmental biology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Analytica—A Journal of Analytical Chemistry and Chemical Analysis, Volume 1, Issue 1, Pages 3-23
- Accession number :
- edsair.doi.dedup.....b9111132664004dc8ae9f1fc91653ec4