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Related Concept Videos

Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Atomic Fluorescence Spectroscopy01:29

Atomic Fluorescence Spectroscopy

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Atomic fluorescence spectroscopy (AFS) is an analytical technique that involves the electronic transitions of atoms in a flame, furnace, or plasma being excited by electromagnetic (EM) radiation. When these atoms absorb energy, they become excited and subsequently release energy as they return to their original state. This emitted light, or "fluorescence," is observed at a right angle to the incident beam. Both absorption and emission processes transpire at distinct wavelengths, which...
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2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

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Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Absolute Value Inequalities01:23

Absolute Value Inequalities

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The absolute value is a mathematical tool that represents the distance of a number from zero on the number line, regardless of its sign. In the context of inequalities, absolute value expressions help define a range of permissible values or boundaries for a variable. These inequalities are commonly used in scientific modeling and data interpretation, where variability within or beyond a certain threshold must be captured precisely.An absolute value inequality of the form ∣x∣ ≤...
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Mean Absolute Deviation01:13

Mean Absolute Deviation

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The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
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Absolute Quantification of RNA Molecules Using Fluorescence Correlation Spectroscopy with Certified Reference

Akira Sasaki1, Johtaro Yamamoto1,2, Masataka Kinjo2

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Accurate quantification of biomolecules like nucleic acids is vital. Fluorescence Correlation Spectroscopy (FCS) offers a universal method for absolute molecular quantification without needing specific standards, improving biomedical research reliability.

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Area of Science:

  • Biophysics
  • Molecular Biology
  • Analytical Chemistry

Background:

  • Accurate quantification of biomolecules, such as nucleic acids, is essential for reliable biomedical research and clinical diagnostics.
  • Current methods often require specific measurement standards with identical sequences and lengths to the target, which are difficult and time-consuming to develop.
  • The absence of appropriate standards leads to uncertain and unreliable quantitative results.

Purpose of the Study:

  • To establish a universal method for absolute quantification of biomolecules using Fluorescence Correlation Spectroscopy (FCS).
  • To calibrate the FCS system using a primary standard and validate its accuracy for RNA concentration determination.
  • To enable the creation of laboratory working standards for routine biomolecule quantification.

Main Methods:

  • Utilized Fluorescence Correlation Spectroscopy (FCS) for direct molecular counting, independent of molecular size and shape.
  • Calibrated the FCS confocal volume using a primary standard of fluorescein solution (SRM 1932).
  • Cross-validated FCS-derived RNA concentrations against a certified reference material (CRM 6204-a).

Main Results:

  • Demonstrated that FCS can accurately determine absolute concentrations of biomolecules without needing target-specific standard curves.
  • Successfully validated the FCS method for RNA quantification using a certified reference material.
  • Established a reliable FCS calibration procedure applicable to various biomolecules.

Conclusions:

  • FCS provides a universal and accurate method for absolute quantification of biomolecules, overcoming limitations of traditional methods.
  • The described FCS calibration and validation procedure using characterized Standard Reference Materials (SRM) and Certified Reference Materials (CRM) enhances measurement reliability.
  • This approach facilitates the development of laboratory working standards, improving the consistency and accuracy of biomolecule quantification in research and clinical settings.