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Quantitative Analysis01:12

Quantitative Analysis

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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
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Outliers are observed data points that are far from the least squares line. They have unusual values and need to be examined carefully. Though an outlier may result from erroneous data, at other times, it may hold valuable information about the population under study and should be included in the data. Hence, it is crucial to examine what causes a data point to be an outlier.
The z score is used to find outliers or unusual values. It should be noted that any values beyond -2 and +2 are...
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Isotopes01:12

Isotopes

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Elements have a set number of protons that determines their atomic number (Z). For example, all atoms with eight protons are oxygen; however, the number of neutrons can vary for atoms of the same element. The sum of the number of protons and the number of neutrons is the mass number (A). Atoms with the same atomic number but different mass numbers are called isotopes. Elements can have multiple isotopes, for example, carbon-12, carbon-13, and carbon-14.
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Outliers and Influential Points01:08

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An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
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Elements: Chemical Symbols and Isotopes02:31

Elements: Chemical Symbols and Isotopes

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A chemical symbol is an abbreviation used to indicate an element or an atom of an element. For example, the symbol for mercury is Hg. The same symbol is used to indicate one atom of mercury (microscopic domain) or to label a container of many atoms of the element mercury (macroscopic domain).
Some symbols are derived from the common English name of the element; others are abbreviations of the name in another language — Latin, Greek or German. For example, the symbol for aluminum (common name)...
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Dimensional Analysis03:40

Dimensional Analysis

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Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
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Isotopic Ratio Outlier Analysis (IROA) for Quantitative Analysis.

Chris Beecher1,2, Felice A de Jong3

  • 1IROA Technologies, LLC, Bolton, MA, USA. chris@iroatech.com.

Methods in Molecular Biology (Clifton, N.J.)
|May 26, 2019
PubMed
Summary

The IROA TruQuant system enhances metabolomics by using a Long-Term Reference Standard (LTRS) for accurate, reproducible quantification. This improves data quality for clinical applications and large-scale experiments.

Keywords:
IROA patternsInternal Standard (IS)Long-Term Reference Standard (LTRS)Quality assurance/quality control (QA/QC)Reproducible quantitation

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Area of Science:

  • Metabolomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Metabolomics aims for rapid measurement of biochemicals, but current methods lack accuracy and reproducibility for clinical use.
  • Existing techniques struggle with daily consistency in large-scale experiments.

Purpose of the Study:

  • To introduce the IROA TruQuant measurement system for validated chemical identity and reproducible quantification in metabolomics.
  • To address the accuracy and reproducibility challenges in current metabolomic analyses.

Main Methods:

  • Utilized a daily Long-Term Reference Standard (LTRS) and a chemically identical Internal Standard (IS).
  • Employed isotopically signed compounds within the LTRS for unambiguous identification.
  • Integrated software-driven analysis to assess instrument performance (sensitivity, fragmentation, stability).

Main Results:

  • Achieved validated chemical identity and daily quality assurance/quality control (QA/QC).
  • Demonstrated accurate and reproducible quantitation comparable across different days, instruments, and chromatographic methods.
  • Enabled precise assessment of instrument performance parameters.

Conclusions:

  • The IROA TruQuant system provides a robust solution for accurate and reproducible metabolomic quantitation.
  • This system enhances data reliability for clinical applications and large-scale experimental reproducibility.
  • Validated chemical identity and performance monitoring are key benefits for metabolomic studies.